python-sdk-guide.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ea16933e",
   "metadata": {},
   "source": [
    "This notebook is to give a brief overview on the different APIs provided by datature's python SDK. The notebook will simply demonstate how to use it and an example of how the output will look like. For more information, always refer to the developer's documentation for the details of the response's parameters."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ef78ac",
   "metadata": {},
   "source": [
    "## Table Of Contents"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbb3d2e5",
   "metadata": {},
   "source": [
    "1. [Install Libraries](#1.-Install-Libraries)<br>\n",
    "2. [Import Libraries](#2.-Import-Libraries)<br>\n",
    "3. [Set Configurations](#3.-Set-Configurations)<br>\n",
    "4. [Project API](#4.-Project-API)<br>\n",
    "    4.1. [Retrieve A Project](#4.1.-Retrieve-A-Project)<br>\n",
    "    4.2. [Update A Project](#4.2.-Update-A-Project)<br>\n",
    "    4.3. [Retrieve Project's Insights](#4.3.-Retrieve-Project's-Insights)<br>\n",
    "    4.4. [Retrieve Project's Quota](#4.4.-Retrieve-Project's-Quota)<br>\n",
    "    4.5. [Retrieve Project's Users](#4.5.-Retrieve-Project's-Users)<br>\n",
    "5. [Asset API](#Asset-API)<br>\n",
    "    5.1. [List All Assets](#5.1.-List-All-Assets)<br>\n",
    "    5.2. [Create An Upload Session](#5.2.-Create-An-Upload-Session)<br>\n",
    "    5.3. [Retrieve An Asset](#5.3.-Retrieve-An-Asset)<br>\n",
    "    5.4. [Update An Asset](#5.4.-Update-An-Asset)<br>\n",
    "    5.5. [Delete An Asset](#5.5.-Delete-An-Asset)<br>\n",
    "6. [Annotation API](#6.-Annotation-API)<br>\n",
    "    6.1. [Create An Annotation](#6.1.-Create-An-Annotation)<br>\n",
    "    6.2. [Export Annotations](#6.2.-Export-Annotations)<br>\n",
    "    6.3. [Retrieve Exported Annotations File](#6.3.-Retrieve-Exported-Annotations-File)<br>\n",
    "    6.4. [Import Annotations](#6.4.-Import-Annotations)<br>\n",
    "    6.5. [List All Annotations In An Asset](#6.5.-List-All-Annotations-In-An-Asset)<br>\n",
    "    6.6. [Retrieve An Annotation](#6.6.-Retrieve-An-Annotation)<br>\n",
    "    6.7. [Delete An Annotation](#6.7.-Delete-An-Annotation)<br>\n",
    "7. [Operation API](#7.-Operation-API)<br>\n",
    "    7.1. [Retrieve An Operation](#7.1.-Retrieve-An-Operation)<br>\n",
    "8. [Tag API](#8.-Tag-API)<br>\n",
    "    8.1. [Create A Tag](#8.1.-Create-A-Tag)<br>\n",
    "    8.2. [List All Tags](#8.2.-List-All-Tags)<br>\n",
    "    8.3. [Update A Tag](#8.3.-Update-A-Tag)<br>\n",
    "    8.4. [Delete A Tag](#8.4.-Delete-A-Tag)<br>\n",
    "9. [Workflow API](#9.-Workflow-API)<br>\n",
    "    9.1. [List All Workflows](#9.1.-List-All-Workflows)<br>\n",
    "    9.2. [Retrieve A Workflow](#9.2.-Retrieve-A-Workflow)<br>\n",
    "    9.3. [Update A Workflow](#9.3.-Update-A-Workflow)<br>\n",
    "    9.4. [Delete A Workflow](#9.4.-Delete-A-Workflow)<br>\n",
    "10. [Training API](#10.-Training-API)<br>\n",
    "    10.1. [Create A Training Run](#10.1.-Create-A-Training-Run)<br>\n",
    "    10.2. [List All Training Runs](#10.2.-List-All-Training-Runs)<br>\n",
    "    10.3. [Retrieve A Training Log](#10.3.-Retrieve-A-Training-Log)<br>\n",
    "    10.4. [Retrieve A Training Run](#10.4.-Retrieve-A-Training-Run)<br>\n",
    "    10.5. [Kill A Training Run](#10.5.-Kill-A-Training-Run)<br>\n",
    "    10.6. [Delete A Training Run](#10.6.-Delete-A-Training-Run)<br>\n",
    "11. [Artifact API](#11.-Artifact-API)<br>\n",
    "    11.1. [List All Artifacts](#11.1.-List-All-Artifacts)<br>\n",
    "    11.2. [Retrieve An Artifact](#11.2.-Retrieve-An-Artifact)<br>\n",
    "    11.3. [Export An Artifact Model](#11.3.-Export-An-Artifact-Model)<br>\n",
    "    11.4. [Retrieve Artifact Models](#11.4.-Retrieve-Artifact-Models)<br>\n",
    "12. [Deploy API](#12.-Deploy-API)<br>\n",
    "    12.1. [Create A Deployment](#12.1.-Create-A-Deployment)<br>\n",
    "    12.2. [List All Deployments](#12.2.-List-All-Deployments)<br>\n",
    "    12.3. [Retrieve A Deployment](#12.3.-Retrieve-A-Deployment)<br>\n",
    "    12.4. [Delete A Deployment](#12.4.-Delete-A-Deployment)<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6d6a98a",
   "metadata": {},
   "source": [
    "# 1. Install Libraries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a312bff",
   "metadata": {},
   "source": [
    "Run the command below to install the `datature` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2be43e8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n",
      "Requirement already satisfied: datature in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (1.0.0)\n",
      "Requirement already satisfied: requests in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (2.28.2)\n",
      "Requirement already satisfied: google-crc32c in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (1.5.0)\n",
      "Requirement already satisfied: pyhumps in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (3.8.0)\n",
      "Requirement already satisfied: pyyaml in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (6.0)\n",
      "Requirement already satisfied: inquirer in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (2.10.1)\n",
      "Requirement already satisfied: halo in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (0.0.31)\n",
      "Requirement already satisfied: filetype in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (1.2.0)\n",
      "Requirement already satisfied: opencv-python in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (4.7.0.72)\n",
      "Requirement already satisfied: alive-progress in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (3.1.0)\n",
      "Requirement already satisfied: pydicom in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (2.3.1)\n",
      "Requirement already satisfied: nibabel in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (4.0.2)\n",
      "Requirement already satisfied: pillow in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from datature) (8.4.0)\n",
      "Requirement already satisfied: about-time==4.2.1 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from alive-progress->datature) (4.2.1)\n",
      "Requirement already satisfied: grapheme==0.6.0 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from alive-progress->datature) (0.6.0)\n",
      "Requirement already satisfied: log-symbols>=0.0.14 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from halo->datature) (0.0.14)\n",
      "Requirement already satisfied: spinners>=0.0.24 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from halo->datature) (0.0.24)\n",
      "Requirement already satisfied: termcolor>=1.1.0 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from halo->datature) (2.2.0)\n",
      "Requirement already satisfied: colorama>=0.3.9 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from halo->datature) (0.4.6)\n",
      "Requirement already satisfied: six>=1.12.0 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from halo->datature) (1.16.0)\n",
      "Requirement already satisfied: blessed>=1.19.0 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from inquirer->datature) (1.20.0)\n",
      "Requirement already satisfied: python-editor>=1.0.4 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from inquirer->datature) (1.0.4)\n",
      "Requirement already satisfied: readchar>=3.0.6 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from inquirer->datature) (4.0.5)\n",
      "Requirement already satisfied: numpy>=1.17 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from nibabel->datature) (1.21.6)\n",
      "Requirement already satisfied: packaging>=17.0 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from nibabel->datature) (23.0)\n",
      "Requirement already satisfied: setuptools in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from nibabel->datature) (67.4.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from requests->datature) (3.1.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from requests->datature) (3.4)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from requests->datature) (1.26.15)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from requests->datature) (2022.12.7)\n",
      "Requirement already satisfied: wcwidth>=0.1.4 in /home/cwlroda/.virtualenvs/script-library/lib/python3.7/site-packages (from blessed>=1.19.0->inquirer->datature) (0.2.6)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "# Use this to install the latest version of datature\n",
    "%pip install -U datature\n",
    "\n",
    "# If a specific version is desired, please comment the above command and use the command below\n",
    "# Replace the appropriate version value desired after '=='\n",
    "# %pip install datature==0.6.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1033cf5",
   "metadata": {},
   "source": [
    "# 2. Import Libraries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1001512a",
   "metadata": {},
   "source": [
    "Import the necessary libraries to be used for this notebook. This includes the `datature` library itself to showcase how to use the different APIs present in the library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a75881eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "import pprint\n",
    "\n",
    "import datature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27df2b4a",
   "metadata": {},
   "source": [
    "# 3. Set Configurations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b16cca41",
   "metadata": {},
   "source": [
    "Replace the project secret with your own project's secret. Do note that you will need to generate this secret key first on the Nexus platform first.\n",
    "\n",
    "**NOTE: Please remember to store your Secret Key somewhere safe. For illustration purpose, the secret key is written in the notebook.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4859131d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set project_secret\n",
    "datature.secret_key = \"<Please replace this string with your own project secret key>\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9af63963",
   "metadata": {},
   "source": [
    "# 4. Project API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1a8a977",
   "metadata": {},
   "source": [
    "This section describes how to perform any operations with regards to any Project level operations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a77325",
   "metadata": {},
   "source": [
    "## 4.1. Retrieve A Project"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6c6d1f1",
   "metadata": {},
   "source": [
    "Retrieves the overview information of the current project specified in the `project_secret` configured in the earlier section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74239ed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676342173637,\n",
      " 'id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'localization': 'MULTI',\n",
      " 'name': 'Example Ship Project',\n",
      " 'object': 'project',\n",
      " 'owner': 'user_63c4bee2aa7c3b289a5e02f3',\n",
      " 'statistic': {'annotation_total': 6168,\n",
      "               'asset_annotated': 483,\n",
      "               'asset_total': 488,\n",
      "               'tags_count': [{'count': 6168, 'name': 'boat'}]},\n",
      " 'tags': ['boat'],\n",
      " 'type': 'classification'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the current project's overview\n",
    "project_retrieve_response = datature.Project.retrieve()\n",
    "# Display response from the retrieve project operation\n",
    "pprint.pprint(project_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7d35602",
   "metadata": {},
   "source": [
    "## 4.2. Update A Project"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32a42a4e",
   "metadata": {},
   "source": [
    "Performs an update on a property of the current project. Currently only allows updating the `name` property of the current project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4aaa96bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676342173637,\n",
      " 'id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'localization': 'MULTI',\n",
      " 'name': 'My Cool Project',\n",
      " 'object': 'project',\n",
      " 'owner': 'user_63c4bee2aa7c3b289a5e02f3',\n",
      " 'statistic': {'annotation_total': 6168,\n",
      "               'asset_annotated': 483,\n",
      "               'asset_total': 488,\n",
      "               'tags_count': [{'count': 6168, 'name': 'boat'}]},\n",
      " 'tags': ['boat'],\n",
      " 'type': 'classification'}\n"
     ]
    }
   ],
   "source": [
    "# Modify the project name's property\n",
    "project_modify_response = datature.Project.modify(\n",
    "    {\"name\": \"My Cool Project\"}\n",
    ")\n",
    "# Display response from the modify project operation\n",
    "pprint.pprint(project_modify_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d514c14",
   "metadata": {},
   "source": [
    "## 4.3. Retrieve Project's Insights"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f08d287",
   "metadata": {},
   "source": [
    "Retrieves insights of the projects which involves the details of the training runs made during the lifetime of the project itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f9983f7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'batch_size': 2,\n",
      "  'checkpoint_every_n': 250,\n",
      "  'create_date': 1676361841029,\n",
      "  'data_type': 'bbox',\n",
      "  'epochs': 500,\n",
      "  'flow_title': 'Example Old Workflow',\n",
      "  'learning_rate': 0.04,\n",
      "  'max_detection_per_class': 30,\n",
      "  'metric': {'classification_loss': 1.484,\n",
      "             'localization_loss': 0.173,\n",
      "             'regularization_loss': 0,\n",
      "             'total_loss': 1.658},\n",
      "  'metric_target': 'STRAT_ALWAYS_SAVE_LATEST',\n",
      "  'mode_name': 'fasterrcnn-inceptionv2-1024x1024',\n",
      "  'momentum': 0.9,\n",
      "  'num_classes': 1,\n",
      "  'optimizer': 'momentum_optimizer',\n",
      "  'run_id': 'run_63eb3dfdf45218f93dbb34a4',\n",
      "  'seed': 0,\n",
      "  'shuffle': True,\n",
      "  'split_ratio': 0.3,\n",
      "  'statistic': {'average_annotations': 12.39},\n",
      "  'step': 0},\n",
      " {'batch_size': 2,\n",
      "  'checkpoint_every_n': 100,\n",
      "  'create_date': 1676355798502,\n",
      "  'data_type': 'bbox',\n",
      "  'epochs': 300,\n",
      "  'flow_title': 'Example Old Workflow',\n",
      "  'learning_rate': 0.04,\n",
      "  'max_detection_per_class': 30,\n",
      "  'metric': {'classification_loss': 0.148,\n",
      "             'localization_loss': 0.195,\n",
      "             'regularization_loss': 0,\n",
      "             'total_loss': 0.343},\n",
      "  'metric_target': 'STRAT_ALWAYS_SAVE_LATEST',\n",
      "  'mode_name': 'fasterrcnn-inceptionv2-1024x1024',\n",
      "  'momentum': 0.9,\n",
      "  'num_classes': 1,\n",
      "  'optimizer': 'momentum_optimizer',\n",
      "  'run_id': 'run_63eb22b7bec73541a7b3728f',\n",
      "  'seed': 0,\n",
      "  'shuffle': True,\n",
      "  'split_ratio': 0.3,\n",
      "  'statistic': {'average_annotations': 3.27},\n",
      "  'step': 300}]\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the project's insights\n",
    "project_insight_response = datature.Project.insight()\n",
    "# Display response from the retrival of project's insights operation\n",
    "pprint.pprint(project_insight_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bbe05a9",
   "metadata": {},
   "source": [
    "## 4.4. Retrieve Project's Quota"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36de0dd2",
   "metadata": {},
   "source": [
    "Retrieves the different quotas limit and usage in a project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fb88a141",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'limit': {'artifact': 50,\n",
      "           'artifact_export': 50,\n",
      "           'collaborator': 10,\n",
      "           'compute': 5000,\n",
      "           'external_source': 5,\n",
      "           'image': 10000,\n",
      "           'intellibrush': 5500,\n",
      "           'octopod': 5},\n",
      " 'usage': {'artifact': 2,\n",
      "           'artifact_export': 8,\n",
      "           'collaborator': 0,\n",
      "           'compute': 337.6,\n",
      "           'external_source': 0,\n",
      "           'image': 489,\n",
      "           'intellibrush': 16,\n",
      "           'octopod': 1}}\n"
     ]
    }
   ],
   "source": [
    "# Retrieves the quotas in the project\n",
    "project_quota_response = datature.Project.quota()\n",
    "# Display response from the retrival of project's quota operation\n",
    "pprint.pprint(project_quota_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d219c46a",
   "metadata": {},
   "source": [
    "## 4.5. Retrieve Project's Users"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff57394d",
   "metadata": {},
   "source": [
    "Retrieves all users in a project. This includes the metadata related to the individual users including the access type of the different users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c2f22ad1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'access_type': 'owner',\n",
      "  'email': 'jianming@datature.io',\n",
      "  'id': 'user_63c4bee2aa7c3b289a5e02f3',\n",
      "  'nickname': 'jianming',\n",
      "  'object': 'user',\n",
      "  'picture': 'https://s.gravatar.com/avatar/9937ab1b4a657a9688d02857a43a31a1?s=480&r=pg&d=https%3A%2F%2Fcdn.auth0.com%2Favatars%2Fji.png'}]\n"
     ]
    }
   ],
   "source": [
    "# Retrieves the quotas in the project\n",
    "project_users_response = datature.Project.users()\n",
    "# Display response from the retrival of project's quota operation\n",
    "pprint.pprint(project_users_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "419ed961",
   "metadata": {},
   "source": [
    "# 5. Asset API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1384d275",
   "metadata": {},
   "source": [
    "This section describes how to perform any operations with regards to the assets in the project. The assets refer to the images and videos in general."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "349c30c0",
   "metadata": {},
   "source": [
    "## 5.1. List All Assets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f6938c9",
   "metadata": {},
   "source": [
    "List all the assets that are present in the project. The assets listed will include the metadata pertaining to each of the asset that is present in the project itself. \n",
    "\n",
    "\n",
    "**Note that the assets are paginated, meaning calling the list will not list all objects at once. The max `limit` that can be set for asset retrieval is `100`.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "455f6690",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': [{'create_date': 1676342277486,\n",
      "           'filename': 'boat22.png',\n",
      "           'id': 'asset_b9bac26b-d7c7-40ac-be74-d26207f37056',\n",
      "           'metadata': {'file_size': 175891,\n",
      "                        'height': 356,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 400},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 24,\n",
      "                         'tags_count': [{'count': 24, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat22.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342292125133&X-Goog-Signature=283a8595aa18275883961d26c86b5613c23304b35298bf89c80c8683e0f0528588beeb487b9fb6a27a6f940cae197d6c9ecc8f34ecdc41ff62c02bc1ab3736e9020ccb7e9deb416297f0ef82391b3f733127d4c8b162eb597a2b37e4747e8bf9f8b9badb82e8193813c0c9a5bbd33cb4de30f25dc912278f1e267fbc240aed7d9c57d260431b72f9d83594144635cf6a50474ad0d593b269e7efa57dbf12e82174d4214d2b234308d98edf138751caeeccc9056cc9e98e0e83dd19f809ac0b58f18f00ba08387aec10df55bf1efacfdf45b56264526e732905278f7e5940be775f304e91077c2563921c2bd9e91a6131ece10b7207671fd67591c2f6ad5cecb7'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat396.png',\n",
      "           'id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "           'metadata': {'file_size': 130849,\n",
      "                        'height': 300,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 306},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 4,\n",
      "                         'tags_count': [{'count': 4, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat396.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342291459685&X-Goog-Signature=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'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat248.png',\n",
      "           'id': 'asset_40075c3f-ff53-4b98-acff-831e6c297f97',\n",
      "           'metadata': {'file_size': 299961,\n",
      "                        'height': 510,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 544},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 4,\n",
      "                         'tags_count': [{'count': 4, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat248.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342295307048&X-Goog-Signature=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'}],\n",
      " 'next_page': 'ZjYzZWFmNDA1MzVhN2FjMDBmMmIzYmFkNA'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieves the first page of the assets present in the project\n",
    "asset_list_response = datature.Asset.list(\n",
    "    {\"limit\": 3}\n",
    ")\n",
    "# Display response from the retrieval of the assets for the first page\n",
    "pprint.pprint(asset_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5504c5f",
   "metadata": {},
   "source": [
    "As there are limits set for listing of assets, to list the next batch of assets, simply retrieve the value from the `'next_page'` key and reuse the above method again. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c09ddb42",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': [{'create_date': 1676342277486,\n",
      "           'filename': 'boat198.png',\n",
      "           'id': 'asset_7a7ad0ea-4a8d-487a-9816-4ee0faa574a1',\n",
      "           'metadata': {'file_size': 283916,\n",
      "                        'height': 394,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 400},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 8,\n",
      "                         'tags_count': [{'count': 8, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat198.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342294637988&X-Goog-Signature=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'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat367.png',\n",
      "           'id': 'asset_b37645aa-27a6-448f-b6ab-9be13d9dd470',\n",
      "           'metadata': {'file_size': 271069,\n",
      "                        'height': 365,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 400},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 4,\n",
      "                         'tags_count': [{'count': 4, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat367.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342293828675&X-Goog-Signature=a227657afeccf0e2bc2deef770e8316629975f651344603177d54129d0bf2f7563c3e04a3137161aed41103c5394a4533b15160180dff4337a590f9c590807737da7c1b14ca6707d2557e051ee0c6d8205a445cb0c13dec20be3cf90ae9d4006be66a8db7704cb62d4571fe763dbe570c87bd8b60df4785ffd19cd45f2019198b48038048b5d3a5d186541f3a965d95c2ca9f7934b6aec42b6e7948116a25db4b9dd1af9200b60f5a6f3c913deac98f930b26b4a590cf8e56650703617fedc61d624c5a381e5b8ea187e1ba6d95390c2c3d86f447a64b330a390ea34465d36db0eaad3d508015821ed33aae260beca466c7724cb1fdb02f2974b6992e774dbcd'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat284.png',\n",
      "           'id': 'asset_7fbc0edc-c3da-4887-b000-3d6d2ae64a19',\n",
      "           'metadata': {'file_size': 234307,\n",
      "                        'height': 243,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 400},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 820,\n",
      "                         'tags_count': [{'count': 820, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat284.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342313758584&X-Goog-Signature=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'}],\n",
      " 'next_page': 'ZjYzZWFmNDA1MzVhN2FjMDBmMmIzYmFkZg',\n",
      " 'prev_page': 'YjYzZWFmNDA1MzVhN2FjMDBmMmIzYmFkNA'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieves the next page of the assets present in the project using the earlier list response\n",
    "# This is to retrieve the page id to be passed into the body parameters\n",
    "asset_list_next_response = datature.Asset.list(\n",
    "    {\"limit\": 3, \"page\": asset_list_response['next_page']}\n",
    ")\n",
    "# Display response from the retrieval of the assets for the next page\n",
    "pprint.pprint(asset_list_next_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c486e278",
   "metadata": {},
   "source": [
    "Likewise, if there is a need to navigate back to the previous page, simply retrieve the value from the `'prev_page'` key and reuse the above method again. With reference to the example in this section, the output of this code block will be the same as the very first code block demonstrating this API."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "740d9529",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': [{'create_date': 1676342277486,\n",
      "           'filename': 'boat22.png',\n",
      "           'id': 'asset_b9bac26b-d7c7-40ac-be74-d26207f37056',\n",
      "           'metadata': {'file_size': 175891,\n",
      "                        'height': 356,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 400},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 24,\n",
      "                         'tags_count': [{'count': 24, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat22.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342292125133&X-Goog-Signature=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'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat396.png',\n",
      "           'id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "           'metadata': {'file_size': 130849,\n",
      "                        'height': 300,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 306},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 4,\n",
      "                         'tags_count': [{'count': 4, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat396.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342291459685&X-Goog-Signature=5ba4c6f4bb1c28a5c8526efbd355604130d070de385ce917e6c3314a17e165f096da044848111f5d3edda400d5988d44c2ca3eafac2934a768f594485bd6f71d3bcf57329b0a1b458567bce9cd977b1f34a124f573ae01fdabb597a0d3f214ede2fa83aeb48191f8917daec936291c786777f7a5125c96b3b8391f3e071fbdff49709572bc664fd7e1d2e170ccb9827fd93cce496f691613029288c1589d40acf2bb7230d15143243c34ab427667eb4db0f308ad8f44b9e24da7511141b69a021e37e7ffa13f97fde1e786020d94a34e2bf36b0b166c184eb4d33f9ad9e493f22a452ed2f8fcb97baa84d48b26916d36de8d25fa85de819b1ba10bce50dc9eda'},\n",
      "          {'create_date': 1676342277486,\n",
      "           'filename': 'boat248.png',\n",
      "           'id': 'asset_40075c3f-ff53-4b98-acff-831e6c297f97',\n",
      "           'metadata': {'file_size': 299961,\n",
      "                        'height': 510,\n",
      "                        'mime_type': 'image/png',\n",
      "                        'status': 'annotated',\n",
      "                        'width': 544},\n",
      "           'object': 'asset',\n",
      "           'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "           'statistic': {'annotation_total': 4,\n",
      "                         'tags_count': [{'count': 4, 'name': 'boat'}]},\n",
      "           'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat248.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342295307048&X-Goog-Signature=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'}],\n",
      " 'next_page': 'ZjYzZWFmNDA1MzVhN2FjMDBmMmIzYmFkNA'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieves the previous page of the assets present in the project using the earlier list response\n",
    "# This is to retrieve the page id to be passed into the body parameters\n",
    "asset_list_prev_response = datature.Asset.list(\n",
    "    {\"limit\": 3, \"page\": asset_list_next_response['prev_page']}\n",
    ")\n",
    "# Display response from the retrieval of the assets for the previous page\n",
    "pprint.pprint(asset_list_prev_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60564904",
   "metadata": {},
   "source": [
    "## 5.2. Create An Upload Session"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4461dc1c",
   "metadata": {},
   "source": [
    "Create an upload session. This is required to upload assets to the platform itself. For the types of assets that can be uploaded, both **images (.PNG, .JPG, .JPEG)** and **videos (.MP4)** are allowed to be uploaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b93f8bd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instantiate an upload session\n",
    "upload_session = datature.Asset.upload_session()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c66ca221",
   "metadata": {},
   "source": [
    "Once the session is created, simply run a loop to add all your desired files to be uploaded and start the upload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "04869f59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.assets.upload/579f6273-cf62-46ad-b1bb-a59df2d0be39'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve all filepaths of assets to be uploaded\n",
    "filepaths = glob.glob(\"/home/assets/*\")\n",
    "# For loop to add the assets to be uploaded\n",
    "for filepath in filepaths:\n",
    "    upload_session.add(filepath)\n",
    "# Execute the upload once all the specified assets to be uploaded have been added\n",
    "asset_upload_session_start_response = upload_session.start(background=True)\n",
    "# Display response of the asset upload operation\n",
    "pprint.pprint(asset_upload_session_start_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08f3ab1c",
   "metadata": {},
   "source": [
    "To check on the status of the upload, simply use the `op_link` value from the response and call the retrieve operation API. To know more on how to use it, refer to [here](#7.1.-Retrieve-An-Operation)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "96b24f34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_579f6273-cf62-46ad-b1bb-a59df2d0be39',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.assets.upload/579f6273-cf62-46ad-b1bb-a59df2d0be39',\n",
      " 'status': {'message': 'Operation running',\n",
      "            'overview': 'Running',\n",
      "            'progress': {'unit': 'asset',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 0,\n",
      "                                         'queued': 5,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365241869,\n",
      "            'time_updated': 1676365242383}}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the status for the asset upload operation\n",
    "retrieve_asset_upload_operation_response = datature.Operation.retrieve(\n",
    "    asset_upload_session_start_response['op_link']\n",
    ")\n",
    "# Display response of the asset upload status retrieval operation\n",
    "pprint.pprint(retrieve_asset_upload_operation_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "183c904b",
   "metadata": {},
   "source": [
    "## 5.3. Retrieve An Asset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f49ecb15",
   "metadata": {},
   "source": [
    "Retrieves an asset based on the specified asset id. This returns the metadata related to the specified asset which also includes an overview of the annotations present in the asset itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1842810b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676342277486,\n",
      " 'filename': 'boat22.png',\n",
      " 'id': 'asset_b9bac26b-d7c7-40ac-be74-d26207f37056',\n",
      " 'metadata': {'file_size': 175891,\n",
      "              'height': 356,\n",
      "              'mime_type': 'image/png',\n",
      "              'status': 'annotated',\n",
      "              'width': 400},\n",
      " 'object': 'asset',\n",
      " 'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'statistic': {'annotation_total': 24,\n",
      "               'tags_count': [{'count': 24, 'name': 'boat'}]},\n",
      " 'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat22.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342292125133&X-Goog-Signature=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'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve an asset based on the specified asset id\n",
    "asset_retrieve_response = datature.Asset.retrieve(\n",
    "    \"asset_b9bac26b-d7c7-40ac-be74-d26207f37056\"\n",
    ")\n",
    "# Display response of the retrieve asset operation\n",
    "pprint.pprint(asset_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c7c70e",
   "metadata": {},
   "source": [
    "## 5.4. Update An Asset Status"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcf7f204",
   "metadata": {},
   "source": [
    "Updates the specified asset's metadata based on the values of the parameters specified. Currently this only allows the update of the asset's `status`. Currently the allowed `status` are 'annotated', 'review', 'completed' and 'tofix' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c2dc0a3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676342277486,\n",
      " 'filename': 'boat22.png',\n",
      " 'id': 'asset_b9bac26b-d7c7-40ac-be74-d26207f37056',\n",
      " 'metadata': {'file_size': 175891,\n",
      "              'height': 356,\n",
      "              'mime_type': 'image/png',\n",
      "              'status': 'annotated',\n",
      "              'width': 400},\n",
      " 'object': 'asset',\n",
      " 'project': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'statistic': {'annotation_total': 24,\n",
      "               'tags_count': [{'count': 24, 'name': 'boat'}]},\n",
      " 'url': 'https://storage.googleapis.com/assets.datature.io/c4df32bdb04a34877c1693540a710b05/assets/boat22.png?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcs-asset-signer%40datature-nexus.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T024207Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&generation=1676342292125133&X-Goog-Signature=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'}\n"
     ]
    }
   ],
   "source": [
    "# Modify the specified asset's metadata\n",
    "asset_modify_response = datature.Asset.modify(\n",
    "    \"asset_b9bac26b-d7c7-40ac-be74-d26207f37056\",\n",
    "    asset_meta={\"status\": \"annotated\"}\n",
    ")\n",
    "# Display response of the modification of the specified asset's metadata\n",
    "pprint.pprint(asset_modify_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fc8b8ce",
   "metadata": {},
   "source": [
    "## 5.5. Delete An Asset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8d06db6",
   "metadata": {},
   "source": [
    "Deletes an asset based on the specified asset id. Annotations related to this asset will also be deleted when this operation is executed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ef09a18c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True,\n",
      " 'id': 'asset_b9bac26b-d7c7-40ac-be74-d26207f37056',\n",
      " 'object': 'asset'}\n"
     ]
    }
   ],
   "source": [
    "# Delete the asset from the specified asset id\n",
    "asset_delete_response = datature.Asset.delete(\n",
    "    \"asset_b9bac26b-d7c7-40ac-be74-d26207f37056\"\n",
    ")\n",
    "# Display the response of the asset deletion operation\n",
    "pprint.pprint(asset_delete_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb7eff68",
   "metadata": {},
   "source": [
    "# 6. Annotation API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0197728",
   "metadata": {},
   "source": [
    "This section describes how to perform any operations with regards to the annotations. Annotations are the labels that bounds and describes the objects of interest in the assets which are the images and videos themselves."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79d0276a",
   "metadata": {},
   "source": [
    "## 6.1. Create An Annotation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5264377d",
   "metadata": {},
   "source": [
    "Create a single annotation for the specified id. The annotation can either be `rectangle` and `polygon` for the `bound_type`.\n",
    "\n",
    "For the `bound_type` of `rectangle`, the format is as follows:\n",
    "\n",
    "`[ [xmin, ymin], [xmin, ymax], [xmax, ymax], [xmax, ymin] ]`\n",
    "\n",
    "For the `bound_type` of `polygon`, the format is as follows:\n",
    "\n",
    "`[ [x1, y1], [x2, y2], [x3, y3], ..., [xn, yn] ]`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cb58a812",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      " 'bound': [[0.775, 0.5], [0.775, 0.71], [0.858, 0.71], [0.858, 0.5]],\n",
      " 'bound_type': 'rectangle',\n",
      " 'id': 'annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a',\n",
      " 'object': 'annotation',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'tag': 'boat'}\n"
     ]
    }
   ],
   "source": [
    "# Create a new annotation for the specified asset id\n",
    "annotation_create_response = datature.Annotation.create(\n",
    "    {\n",
    "        \"asset_id\": \"asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3\",\n",
    "        \"tag\": \"boat\",\n",
    "        \"bound_type\": \"rectangle\",\n",
    "        \"bound\": [[0.775, 0.500],[0.775, 0.710],[0.858, 0.710],[0.858, 0.500]]\n",
    "    }\n",
    ")\n",
    "# Display response of the creation of the annotaiton for the specified asset id\n",
    "pprint.pprint(annotation_create_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a38e1ba",
   "metadata": {},
   "source": [
    "## 6.2. Export Annotations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a645bb1b",
   "metadata": {},
   "source": [
    "Execute an export operation for the current set of annotations that are present on the project itself. Note that this starts the operation of the export and does not return the exported file directly.\n",
    "\n",
    "Current allow exported annotations formats are:\n",
    "\n",
    "`'csv_fourcorner', 'csv_widthheight', 'coco', 'pascal_voc', 'yolo_keras_pytorch', 'yolo_darknet', 'polygon_single', 'polygon_coco'`\n",
    "\n",
    "Please refer to the developer's documentation for more information about the different annotation formats as well as the description of the different configuration parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "26cc59d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_869f0ccc-7d88-42e7-bccd-746d632de0a8',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.export/869f0ccc-7d88-42e7-bccd-746d632de0a8',\n",
      " 'status': {'message': 'Operation queued',\n",
      "            'overview': 'Queued',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 0,\n",
      "                                         'queued': 1,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365276204,\n",
      "            'time_updated': 1676365276204}}\n"
     ]
    }
   ],
   "source": [
    "# Request to start the export of the current annotations in the project\n",
    "annotation_export_response = datature.Annotation.export(\n",
    "    \"csv_fourcorner\",\n",
    "    {\"normalized\": True, \"shuffle\": True, \"split_ratio\": 0.5,\"seed\": 1337},\n",
    "    background=True\n",
    ")\n",
    "# Display response from the export of the current annotations operation\n",
    "pprint.pprint(annotation_export_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "911ade94",
   "metadata": {},
   "source": [
    "To track the status of the annotations export operation, simply use the `op_link` value from the response and call the retrieve operation API. To know more on how to use it, refer to [here](#7.1.-Retrieve-An-Operation)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6bb22ec8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_869f0ccc-7d88-42e7-bccd-746d632de0a8',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.export/869f0ccc-7d88-42e7-bccd-746d632de0a8',\n",
      " 'status': {'message': 'Operation finished',\n",
      "            'overview': 'Finished',\n",
      "            'payload': '',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 1,\n",
      "                                         'queued': 0,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365276204,\n",
      "            'time_updated': 1676365280304}}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the status for the export annotation operation\n",
    "retrieve_export_annotation_operation_response = datature.Operation.retrieve(\n",
    "    annotation_export_response['op_link']\n",
    ")\n",
    "# Display response of the export annotation status retrieval operation\n",
    "pprint.pprint(retrieve_export_annotation_operation_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6b59c5a",
   "metadata": {},
   "source": [
    "## 6.3. Retrieve Exported Annotations File"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee2e94fd",
   "metadata": {},
   "source": [
    "Retrieves the url of the exported annotation file. Do note that this requires the previous code block above to be executed first to retrieve the related operation id to retrieve the download url for annotation file once the export is done. Retrieval of exported annotations is referenced by the `operation id` that executed the export of the annotations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "64288dc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'download': {'expiry': 1676365641908,\n",
      "              'method': 'GET',\n",
      "              'url': 'https://storage.googleapis.com/exports.datature.io/c4df32bdb04a34877c1693540a710b05/annotations/869f0ccc-7d88-42e7-bccd-746d632de0a8.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=puppeteer-production%40datature-puppeteer.iam.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T090706Z&X-Goog-Expires=16&X-Goog-SignedHeaders=host&X-Goog-Signature=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'},\n",
      " 'op_id': 'op_869f0ccc-7d88-42e7-bccd-746d632de0a8',\n",
      " 'status': 'Finished'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the url to download the exported annotations\n",
    "annotation_retrieve_exported_file_response = datature.Annotation.retrieve_exported_file(\n",
    "    \"op_869f0ccc-7d88-42e7-bccd-746d632de0a8\"\n",
    ")\n",
    "# Display response of the retrieval of the download url for the exported annotations operation\n",
    "pprint.pprint(annotation_retrieve_exported_file_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c69c45d",
   "metadata": {},
   "source": [
    "To download the exported annotations, simply copy the value in the `url` from the above response and paste it in the address bar of the browser to trigger the download."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d87342d",
   "metadata": {},
   "source": [
    "## 6.4. Import Annotations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca65fd57",
   "metadata": {},
   "source": [
    "Uploads an annotation file to be used for the project. Currently the allowed formats are as follows:\n",
    "\n",
    "`'csv_fourcorner', 'csv_widthheight', 'coco', 'pascal_voc', 'yolo_keras_pytorch', 'yolo_darknet', 'polygon_single', 'polygon_coco'`\n",
    "\n",
    "Please refer to the docs for more information about the different annotation formats."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "81c19de7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.import/b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'status': {'message': 'Operation queued',\n",
      "            'overview': 'Queued',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 0,\n",
      "                                         'queued': 1,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365303542,\n",
      "            'time_updated': 1676365303542}}\n"
     ]
    }
   ],
   "source": [
    "# Uploads an annotation file to be imported into the project\n",
    "annotation_upload_response = datature.Annotation.upload(\n",
    "    \"csv_fourcorner\",\n",
    "    \"/home/Training.csv\",\n",
    "    background=True\n",
    ")\n",
    "# Display response of the upload annotation to be imported operation\n",
    "pprint.pprint(annotation_upload_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb07f5f",
   "metadata": {},
   "source": [
    "To track the status of the annotations import operation, simply use the `op_link` value from the response and call the retrieve operation API. To know more on how to use it, refer to [here](#7.1.-Retrieve-An-Operation)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "793375e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.import/b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'status': {'message': 'Operation running',\n",
      "            'overview': 'Running',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 0,\n",
      "                                         'queued': 0,\n",
      "                                         'running': 1}},\n",
      "            'time_scheduled': 1676365303542,\n",
      "            'time_updated': 1676365305084}}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the status for the upload annotation for import operation\n",
    "retrieve_upload_annotation_operation_response = datature.Operation.retrieve(\n",
    "    annotation_upload_response['op_link']\n",
    ")\n",
    "# Display response of the upload annotation for import status retrieval operation\n",
    "pprint.pprint(retrieve_upload_annotation_operation_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f08e9f4",
   "metadata": {},
   "source": [
    "## 6.5. List All Annotations In An Asset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "125ac92f",
   "metadata": {},
   "source": [
    "List all annotations based on the specified asset id. This will include the `bound` of the annotation as well as the `bound_type` and the `tag` of the annotations along with other metadata related to the annotations for the specified asset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9079a119",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "  'bound': [[0.4019607843137255, 0.3533333333333334],\n",
      "            [0.4019607843137255, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.3533333333333334]],\n",
      "  'bound_type': 'rectangle',\n",
      "  'id': 'annot_2f1c573c-6701-47e0-bb19-f18fea4e6782',\n",
      "  'object': 'annotation',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'tag': 'boat'},\n",
      " {'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "  'bound': [[0.4019607843137255, 0.3533333333333334],\n",
      "            [0.4019607843137255, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.3533333333333334]],\n",
      "  'bound_type': 'rectangle',\n",
      "  'id': 'annot_e9ec533c-0fbb-4bad-a7ce-6fd56e4a2f7c',\n",
      "  'object': 'annotation',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'tag': 'boat'},\n",
      " {'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "  'bound': [[0.4019607843137255, 0.3533333333333334],\n",
      "            [0.4019607843137255, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.3533333333333334]],\n",
      "  'bound_type': 'rectangle',\n",
      "  'id': 'annot_79dcf79e-92a0-429c-bf68-acf34071c4b5',\n",
      "  'object': 'annotation',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'tag': 'boat'},\n",
      " {'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "  'bound': [[0.4019607843137255, 0.3533333333333334],\n",
      "            [0.4019607843137255, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.6033333333333333],\n",
      "            [0.6339869281045751, 0.3533333333333334]],\n",
      "  'bound_type': 'rectangle',\n",
      "  'id': 'annot_1c5bb52d-c031-458b-83b9-134d77b4984c',\n",
      "  'object': 'annotation',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'tag': 'boat'},\n",
      " {'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      "  'bound': [[0.775, 0.5], [0.775, 0.71], [0.858, 0.71], [0.858, 0.5]],\n",
      "  'bound_type': 'rectangle',\n",
      "  'id': 'annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a',\n",
      "  'object': 'annotation',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'tag': 'boat'}]\n"
     ]
    }
   ],
   "source": [
    "# List all annotations based on the specified asset id\n",
    "annotation_list_response = datature.Annotation.list(\n",
    "    \"asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3\"\n",
    ")\n",
    "# Display response of the list annotations for the specified asset operation\n",
    "pprint.pprint(annotation_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c45d1f81",
   "metadata": {},
   "source": [
    "## 6.6. Retrieve An Annotation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c3f2a3d",
   "metadata": {},
   "source": [
    "Retrieves an annotation based on the specified annotation id. This returns the metadata regarding the specified annotation id like the `bound` as well as the `bound_type` and `tag` along with other metadata related to the annotation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d82c7185",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'asset_id': 'asset_717ebeaa-09e6-48da-99b2-9ae8924a0ce3',\n",
      " 'bound': [[0.775, 0.5], [0.775, 0.71], [0.858, 0.71], [0.858, 0.5]],\n",
      " 'bound_type': 'rectangle',\n",
      " 'id': 'annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a',\n",
      " 'object': 'annotation',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'tag': 'boat'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the metadata for the specified annotation id\n",
    "annotation_retrieve_response = datature.Annotation.retrieve(\n",
    "    \"annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a\"\n",
    ")\n",
    "# Display response for the retrieve annotation operation \n",
    "pprint.pprint(annotation_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a80f07e",
   "metadata": {},
   "source": [
    "## 6.7. Delete An Annotation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a365a8eb",
   "metadata": {},
   "source": [
    "Delete an annotation based on the specified annotation id."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c1a512cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True,\n",
      " 'id': 'annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a',\n",
      " 'object': 'annotation'}\n"
     ]
    }
   ],
   "source": [
    "# Delete an annotation based on the specified annotation id\n",
    "annotation_delete_response = datature.Annotation.delete(\n",
    "    \"annot_2b09b0dc-e2ba-4a3a-8c27-fbe6100e3a3a\"\n",
    ")\n",
    "# Display the response of the delete annotation operation\n",
    "pprint.pprint(annotation_delete_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a6a4ad3",
   "metadata": {},
   "source": [
    "# 7. Operation API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f44000b4",
   "metadata": {},
   "source": [
    "This section describes how to keep track of any operations that is currently in progress on Nexus itself."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5de73beb",
   "metadata": {},
   "source": [
    "## 7.1. Retrieve An Operation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f65a06a9",
   "metadata": {},
   "source": [
    "Retrieves an operation based on the specified `op_link`. This should be the primary method to use if there is a need to keep track of any ongoing operations by polling the specified url using this method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "193d7d43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.import/b6d92abb-dd63-4856-9329-565d896fdeef',\n",
      " 'status': {'message': 'Operation finished',\n",
      "            'overview': 'Finished',\n",
      "            'payload': 'Number of files imported: 1',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 1,\n",
      "                                         'queued': 0,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365303542,\n",
      "            'time_updated': 1676365308562}}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve an operation based on the speicifed op_link\n",
    "operation_retrieve_response = datature.Operation.retrieve(\n",
    "    \"users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/nexus.annotations.import/b6d92abb-dd63-4856-9329-565d896fdeef\"\n",
    ")\n",
    "# Display response of the retrieve operation\n",
    "pprint.pprint(operation_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd738580",
   "metadata": {},
   "source": [
    "# 8. Tag API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6db270a2",
   "metadata": {},
   "source": [
    "This section describes the operations to be used to perform any operations with regards to the tags in the project. Tags are the name of labels (e.g. boat) to represent the annotations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8933bae2",
   "metadata": {},
   "source": [
    "## 8.1. Create A Tag"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0588b50d",
   "metadata": {},
   "source": [
    "Creates a tag to be added to the project based on the specified `name` to allocate to the new tag."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9e4ae732",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'index': 0, 'name': 'boat'}, {'index': 1, 'name': 'new tag name'}]\n"
     ]
    }
   ],
   "source": [
    "# Create a new tag with the specified tag name\n",
    "tag_create_response = datature.Tag.create(\n",
    "    \"new tag name\"\n",
    ")\n",
    "# Display response for the create tag operation\n",
    "pprint.pprint(tag_create_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb6f3887",
   "metadata": {},
   "source": [
    "## 8.2. List All Tags"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25952ed9",
   "metadata": {},
   "source": [
    "List all tags that exist in the project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aaee02a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'index': 0, 'name': 'boat'}, {'index': 1, 'name': 'new tag name'}]\n"
     ]
    }
   ],
   "source": [
    "# List all tags in the project\n",
    "tag_list_response = datature.Tag.list()\n",
    "# Display response for listing all tags in the project operation\n",
    "pprint.pprint(tag_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df99b5c6",
   "metadata": {},
   "source": [
    "## 8.3. Update A Tag"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aca409d",
   "metadata": {},
   "source": [
    "Updates the metadata of a tag object. Currently only `name` is allowed to be modified. Note that the to specify the tag to be modified, please reference the `index` of the tag to be modified as it is used by this method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "08abee83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'index': 0, 'name': 'boat'}, {'index': 1, 'name': 'modify tag name'}]\n"
     ]
    }
   ],
   "source": [
    "# Modify the metadata of the tag based on the specified index\n",
    "tag_modify_response = datature.Tag.modify(index=1, name=\"modify tag name\")\n",
    "# Display response for the modification of tag operation\n",
    "pprint.pprint(tag_modify_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fde7c8d",
   "metadata": {},
   "source": [
    "## 8.4. Delete A Tag"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce6b7bdf",
   "metadata": {},
   "source": [
    "Delete a tag based on the specified index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b0944321",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True}\n"
     ]
    }
   ],
   "source": [
    "# Delete a tag based on the specified index\n",
    "tag_delete_response = datature.Tag.delete(index=1)\n",
    "# Display response for the delete tag operation\n",
    "pprint.pprint(tag_delete_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d0dbe97",
   "metadata": {},
   "source": [
    "# 9. Workflow API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de657032",
   "metadata": {},
   "source": [
    "This section contains all the operations with regards to the workflows. Workflows are the model training pipelines that are built by different building blocks."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a00e609a",
   "metadata": {},
   "source": [
    "## 9.1. List All Workflows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd052fca",
   "metadata": {},
   "source": [
    "List all workflows in the project itself. The returned workflows will include the metadata related to each of the workflows themselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b6fb6b49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'id': 'flow_63eb50320915a2159bf5442b',\n",
      "  'last_updated': 1676365892830,\n",
      "  'object': 'workflow',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'state': '[{\"id\":\"1676365876014\",\"type\":\"dataset\",\"basetype\":\"dataset\",\"data\":{\"schema\":{\"title\":\"Dataset\",\"hasSource\":false,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"dataset_setup\",\"targetarg\":\"train_test_split\",\"template\":\"Train-Test '\n",
      "           'Split %% Ratio\"},\"parameters\":{\"dataset_setup\":{\"name\":\"Dataset '\n",
      "           'Setup\",\"args\":{\"train_test_split\":{\"name\":\"Train-Test '\n",
      "           'Split\",\"type\":\"float\",\"value\":0.3,\"default\":0.3},\"shuffle\":{\"name\":\"Shuffle '\n",
      "           'Dataset\",\"type\":\"boolean\",\"value\":true,\"default\":true},\"random_seed\":{\"name\":\"Random '\n",
      "           'Seed\",\"type\":\"number\",\"value\":0,\"default\":0}}}}}},\"position\":{\"x\":450,\"y\":150},\"__rf\":{\"position\":{\"x\":450,\"y\":150},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":null},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676365876027\",\"type\":\"augmentation\",\"basetype\":\"augmentation\",\"data\":{\"schema\":{\"title\":\"Augmentations\",\"hasSource\":true,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"options\",\"targetarg\":\"advanced_mode\",\"template\":\"Advanced '\n",
      "           'Mode : '\n",
      "           '%%\"},\"parameters\":{\"options\":{\"name\":\"Options\",\"args\":{\"advanced_mode\":{\"name\":\"Advanced '\n",
      "           'Mode\",\"type\":\"boolean\",\"value\":false,\"default\":false}}},\"position_transforms\":{\"name\":\"Random '\n",
      "           'Position Augmentations\",\"args\":{\"center_crop\":{\"name\":\"Center '\n",
      "           'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Height Of The Crop '\n",
      "           '(1%-100%)\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Width Of The Crop '\n",
      "           '(1%-100%)\"}}}},\"random_horizontal_flip\":{\"name\":\"Flip '\n",
      "           'Horizontal\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}}},\"random_vertical_flip\":{\"name\":\"Flip '\n",
      "           'Vertical\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"}}}},\"random_crop\":{\"name\":\"Random '\n",
      "           'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Height Of The '\n",
      "           'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Width Of The Crop\"}}}},\"random_rotate\":{\"name\":\"Random '\n",
      "           'Rotate\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_rotation\":{\"name\":\"Minimum '\n",
      "           'Rotation\",\"value\":-90,\"default\":-90,\"min\":-180,\"max\":180,\"tooltip\":\"Minimum '\n",
      "           'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "           'Rotation\",\"value\":90,\"default\":90,\"min\":-180,\"max\":180,\"tooltip\":\"Maximum '\n",
      "           'Rotation Angle\"}}}},\"random_resized_crop\":{\"name\":\"Random Resized '\n",
      "           'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Height Of The '\n",
      "           'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Width Of The Crop\"},\"min_scale\":{\"name\":\"Minimum '\n",
      "           'Scale\",\"value\":0.08,\"default\":0.08,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Range Of Size Of The Origin Size '\n",
      "           'Cropped\"},\"max_scale\":{\"name\":\"Maximum '\n",
      "           'Scale\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Range Of Size Of The Origin Size '\n",
      "           'Cropped\"},\"min_aspect_ratio\":{\"name\":\"Minimum Aspect '\n",
      "           'Ratio\",\"value\":0.75,\"default\":0.75,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "           'Range Of Size Of The Origin Size '\n",
      "           'Cropped\"},\"max_aspect_ratio\":{\"name\":\"Maximum Aspect '\n",
      "           'Ratio\",\"value\":1.33,\"default\":1.33,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "           'Range Of Size Of The Origin Size '\n",
      "           'Cropped\"}}}},\"random_sized_crop\":{\"name\":\"Random Sized '\n",
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      "           'of Applying This Augmentation\"},\"min_height\":{\"name\":\"Minimum Crop '\n",
      "           'Size '\n",
      "           'Height\",\"value\":50,\"default\":50,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Minimum Crop Size Limit\"},\"max_height\":{\"name\":\"Maximum '\n",
      "           'Crop Size '\n",
      "           'Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
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      "           'Height\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
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      "           'Resize\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "           '(1%-99%) Width After The Crop And '\n",
      "           'Resize\"},\"w2h_ratio\":{\"name\":\"Width to Height '\n",
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      "           'Ratio of Crop\"}}}},\"shift_scale_rotate\":{\"name\":\"Shift Scale '\n",
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      "           'Range Of Shift Factor For Height And '\n",
      "           'Width\"},\"max_shift\":{\"name\":\"Maximum '\n",
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      "           'Range Of Shift Factor For Height And '\n",
      "           'Width\"},\"min_scale\":{\"name\":\"Minimum '\n",
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      "           'Range Of Size Of The Origin Size '\n",
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      "           'Range Of Size Of The Origin Size '\n",
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      "           'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "           'Rotation\",\"value\":45,\"default\":45,\"min\":-360,\"max\":360,\"tooltip\":\"Maximum '\n",
      "           'Rotation Angle\"}}}}}},\"color_transforms\":{\"name\":\"Color Space '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"},\"min_channel_dropout_range\":{\"name\":\"Min Channel '\n",
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      "           'Channel Dropout Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"max_channel_dropout_range\":{\"name\":\"Max Channel '\n",
      "           'Dropout '\n",
      "           'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Maximum '\n",
      "           'Channel Dropout Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"fill_value\":{\"name\":\"Fill '\n",
      "           'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "           'Value For The Dropped '\n",
      "           'Channel\"}}}},\"channel_shuffle\":{\"name\":\"Channel '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"}}}},\"CLAHE\":{\"name\":\"CLAHE\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "           'Threshold Value For Contrast '\n",
      "           'Limiting\"},\"max_clip_limit\":{\"name\":\"Max Clip '\n",
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      "           'Threshold Value For Contrast '\n",
      "           'Limiting\"},\"min_tile_grid_size\":{\"name\":\"Min Grid '\n",
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      "           'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
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      "           'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
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      "           'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Brightness\"},\"max_brightness\":{\"name\":\"Max '\n",
      "           'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Brightness\"},\"min_contrast\":{\"name\":\"Min '\n",
      "           'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter Contrast\"},\"max_contrast\":{\"name\":\"Max '\n",
      "           'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Contrast\"},\"min_saturation\":{\"name\":\"Min '\n",
      "           'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Saturation\"},\"max_saturation\":{\"name\":\"Max '\n",
      "           'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter Saturation\"},\"min_hue\":{\"name\":\"Min '\n",
      "           'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter Hue\"},\"max_hue\":{\"name\":\"Max '\n",
      "           'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Hue\"}}}},\"cutout\":{\"name\":\"Cutout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           '(1%-99%) Maximum Height Of The Hole.\"},\"max_w_size\":{\"name\":\"Max '\n",
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      "           '(1%-99%) Maximum Width Of The Hole\"},\"fill_value\":{\"name\":\"Fill '\n",
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      "           'of Applying This '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"},\"alpha\":{\"name\":\"Alpha\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"How '\n",
      "           'Much To Pertub/Scale The Eigen Vectors And '\n",
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      "           'Gaussian Kernel Standard Deviation\"},\"max_sigma\":{\"name\":\"Max '\n",
      "           'Sigma '\n",
      "           'Minimum\",\"value\":3,\"default\":3,\"min\":0,\"max\":3,\"tooltip\":\"Maximum '\n",
      "           'Gaussian Kernel Standard '\n",
      "           'Deviation\"}}}},\"gauss_noise\":{\"name\":\"Gaussian '\n",
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      "           'Variance Range For '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"},\"sigma\":{\"name\":\"Sigma\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":3,\"tooltip\":\"Standard '\n",
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      "           'Delta\",\"value\":4,\"default\":4,\"min\":1,\"max\":10,\"tooltip\":\"Max '\n",
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      "           'Swapped\"},\"iterations\":{\"name\":\"Iterations\",\"value\":2,\"default\":2,\"min\":1,\"max\":10,\"tooltip\":\"Number '\n",
      "           'Of '\n",
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      "           'Saturation '\n",
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      "           'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
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      "           'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Hue Shift Range Limit\"},\"min_sat_shift\":{\"name\":\"Min Saturation '\n",
      "           'Shift\",\"value\":-30,\"default\":-30,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Saturation Shift Range Limit\"},\"max_sat_shift\":{\"name\":\"Max '\n",
      "           'Saturation '\n",
      "           'Shift\",\"value\":30,\"default\":30,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Saturation Shift Range Limit\"},\"min_val_shift\":{\"name\":\"Min Value '\n",
      "           'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Value Shift Range Limit\"},\"max_val_shift\":{\"name\":\"Max Value '\n",
      "           'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Value Shift Range Limit\"}}}},\"image_compression\":{\"name\":\"Image '\n",
      "           'Compression\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Limit\",\"value\":80,\"default\":80,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "           'Bound On The Image Quality\"},\"quality_upper\":{\"name\":\"Upper '\n",
      "           'Quality '\n",
      "           'Limit\",\"value\":100,\"default\":100,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "           'Bound On The Image Quality\"}}}},\"iso_noise\":{\"name\":\"ISO '\n",
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      "           'of Applying This Augmentation\"},\"min_color_shift\":{\"name\":\"Min '\n",
      "           'Color '\n",
      "           'Shift\",\"value\":0.01,\"default\":0.01,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Variance Range For Color Hue '\n",
      "           'Change\"},\"max_color_shift\":{\"name\":\"Max Color '\n",
      "           'Shift\",\"value\":0.05,\"default\":0.05,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Variance Range For Color Hue Change\"},\"min_intensity\":{\"name\":\"Min '\n",
      "           'Intensity\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":2,\"tooltip\":\"Minimum '\n",
      "           'Strength Of Color And Luminace '\n",
      "           'Noise\"},\"max_intensity\":{\"name\":\"Max '\n",
      "           'Intensity\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":2,\"tooltip\":\"Maximum '\n",
      "           'Strength Of Color And Luminace '\n",
      "           'Noise\"}}}},\"median_blur\":{\"name\":\"Median '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":99,\"tooltip\":\"Maximum '\n",
      "           'Aperture Linear Size For Blurring Input '\n",
      "           'Image\"}}}},\"motion_blur\":{\"name\":\"Motion '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"max_blur_limit\":{\"name\":\"Max '\n",
      "           'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Kernel Size For Blurring Input '\n",
      "           'Image\"}}}},\"multiplicative_noise\":{\"name\":\"Multiplicative '\n",
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      "           'of Applying This Augmentation\"},\"min_multi\":{\"name\":\"Min '\n",
      "           'Multiplication '\n",
      "           'Limit\",\"value\":0.9,\"default\":0.9,\"min\":0.1,\"max\":5,\"tooltip\":\"Minimum '\n",
      "           'Random Number To Multiple With Input '\n",
      "           'Image\"},\"max_multi\":{\"name\":\"Max Multiplication '\n",
      "           'Limit\",\"value\":1.1,\"default\":1.1,\"min\":0.1,\"max\":5,\"tooltip\":\"Maximum '\n",
      "           'Random Number To Multiple With Input '\n",
      "           'Image\"}}}},\"posterize\":{\"name\":\"Posterize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"r_bits\":{\"name\":\"R Channel Number '\n",
      "           'Of Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number '\n",
      "           'Of Bits For Red Channel\"},\"g_bits\":{\"name\":\"G Channel Number Of '\n",
      "           'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "           'Bits For Green Channel\"},\"b_bits\":{\"name\":\"B Channel Number Of '\n",
      "           'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "           'Bits For Blue Channel\"}}}},\"random_blur\":{\"name\":\"Random '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_blur_limit\":{\"name\":\"Min Blur '\n",
      "           'Limit\",\"value\":3,\"default\":3,\"min\":3,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Blur Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"max_blur_limit\":{\"name\":\"Max Blur '\n",
      "           'Limit\",\"value\":7,\"default\":7,\"min\":3,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Blur Limit That Should Be Used For This '\n",
      "           'Augmentation\"}}}},\"random_brightness\":{\"name\":\"Random '\n",
      "           'Brightness\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing Brightness\"},\"max_limit\":{\"name\":\"Max '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"}}}},\"random_brightness_contrast\":{\"name\":\"Random '\n",
      "           'Brightness '\n",
      "           'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_bright_limit\":{\"name\":\"Min '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"},\"max_bright_limit\":{\"name\":\"Max Brightness '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"},\"min_contrast_limit\":{\"name\":\"Min Contrast '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"},\"max_contrast_limit\":{\"name\":\"Max Contrast '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"}}}},\"random_contrast\":{\"name\":\"Random '\n",
      "           'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min Contrast '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing Contrast\"},\"max_limit\":{\"name\":\"Max '\n",
      "           'Contrast '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"}}}},\"random_fog\":{\"name\":\"Random '\n",
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      "  'title': 'Example Workflow To Be Deleted'},\n",
      " {'id': 'flow_63eb229abec73541a7b37280',\n",
      "  'last_updated': 1676361213209,\n",
      "  'object': 'workflow',\n",
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      "           'Augmentations\",\"args\":{\"channel_dropout\":{\"name\":\"Channel '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"},\"min_channel_dropout_range\":{\"name\":\"Min Channel '\n",
      "           'Dropout '\n",
      "           'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Minimum '\n",
      "           'Channel Dropout Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"max_channel_dropout_range\":{\"name\":\"Max Channel '\n",
      "           'Dropout '\n",
      "           'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Maximum '\n",
      "           'Channel Dropout Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"fill_value\":{\"name\":\"Fill '\n",
      "           'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "           'Value For The Dropped '\n",
      "           'Channel\"}}}},\"channel_shuffle\":{\"name\":\"Channel '\n",
      "           'Shuffle\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}}},\"CLAHE\":{\"name\":\"CLAHE\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "           'Threshold Value For Contrast '\n",
      "           'Limiting\"},\"max_clip_limit\":{\"name\":\"Max Clip '\n",
      "           'Limit\",\"value\":4,\"default\":4,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "           'Threshold Value For Contrast '\n",
      "           'Limiting\"},\"min_tile_grid_size\":{\"name\":\"Min Grid '\n",
      "           'Limit\",\"value\":8,\"default\":8,\"min\":1,\"max\":99,\"tooltip\":\"Lower '\n",
      "           'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
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      "           'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
      "           'Equalization\"}}}},\"color_jitter\":{\"name\":\"Color '\n",
      "           'Jitter\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Brightness\"},\"max_brightness\":{\"name\":\"Max '\n",
      "           'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Brightness\"},\"min_contrast\":{\"name\":\"Min '\n",
      "           'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter Contrast\"},\"max_contrast\":{\"name\":\"Max '\n",
      "           'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Contrast\"},\"min_saturation\":{\"name\":\"Min '\n",
      "           'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Saturation\"},\"max_saturation\":{\"name\":\"Max '\n",
      "           'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter Saturation\"},\"min_hue\":{\"name\":\"Min '\n",
      "           'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Minimum '\n",
      "           'Limit Of How Much To Jitter Hue\"},\"max_hue\":{\"name\":\"Max '\n",
      "           'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Maximum '\n",
      "           'Limit Of How Much To Jitter '\n",
      "           'Hue\"}}}},\"cutout\":{\"name\":\"Cutout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Holes\",\"value\":8,\"default\":8,\"min\":0,\"max\":100,\"tooltip\":\"Number '\n",
      "           'Of Regions To Zero Out\"},\"max_h_size\":{\"name\":\"Max Hole '\n",
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      "           '(1%-99%) Maximum Height Of The Hole.\"},\"max_w_size\":{\"name\":\"Max '\n",
      "           'Hole '\n",
      "           'Width\",\"value\":8,\"default\":8,\"min\":0,\"max\":99,\"tooltip\":\"Percentage '\n",
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      "           'Value For The Dropped '\n",
      "           'Channel\"}}}},\"equalize\":{\"name\":\"Equalize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}}},\"fancy_pca\":{\"name\":\"FancyPCA\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"},\"alpha\":{\"name\":\"Alpha\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"How '\n",
      "           'Much To Pertub/Scale The Eigen Vectors And '\n",
      "           'Values\"}}}},\"gaussian_blur\":{\"name\":\"Gaussian '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Gaussian Kernel Standard Deviation\"},\"max_sigma\":{\"name\":\"Max '\n",
      "           'Sigma '\n",
      "           'Minimum\",\"value\":3,\"default\":3,\"min\":0,\"max\":3,\"tooltip\":\"Maximum '\n",
      "           'Gaussian Kernel Standard '\n",
      "           'Deviation\"}}}},\"gauss_noise\":{\"name\":\"Gaussian '\n",
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      "           'Variance Range For Noise\"},\"max_var\":{\"name\":\"Max Variance '\n",
      "           'Range\",\"value\":50,\"default\":50,\"min\":0,\"max\":500,\"tooltip\":\"Maximum '\n",
      "           'Variance Range For '\n",
      "           'Noise\"},\"mean\":{\"name\":\"Mean\",\"value\":0,\"default\":0,\"min\":-100,\"max\":100,\"tooltip\":\"Mean '\n",
      "           'Of The Noise\"}}}},\"glass_blur\":{\"name\":\"Glass '\n",
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      "           'of Applying This '\n",
      "           'Augmentation\"},\"sigma\":{\"name\":\"Sigma\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":3,\"tooltip\":\"Standard '\n",
      "           'Deviation For Gaussian Kernel\"},\"max_delta\":{\"name\":\"Max '\n",
      "           'Delta\",\"value\":4,\"default\":4,\"min\":1,\"max\":10,\"tooltip\":\"Max '\n",
      "           'Distance Between Pixels Which Are '\n",
      "           'Swapped\"},\"iterations\":{\"name\":\"Iterations\",\"value\":2,\"default\":2,\"min\":1,\"max\":10,\"tooltip\":\"Number '\n",
      "           'Of '\n",
      "           'Repeats\"}}}},\"random_rgb_to_gray\":{\"name\":\"Grayscale\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"}}}},\"hue_sat_val\":{\"name\":\"Hue '\n",
      "           'Saturation '\n",
      "           'Value\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Hue Shift Range Limit\"},\"max_hue_shift\":{\"name\":\"Max Hue '\n",
      "           'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Hue Shift Range Limit\"},\"min_sat_shift\":{\"name\":\"Min Saturation '\n",
      "           'Shift\",\"value\":-30,\"default\":-30,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Saturation Shift Range Limit\"},\"max_sat_shift\":{\"name\":\"Max '\n",
      "           'Saturation '\n",
      "           'Shift\",\"value\":30,\"default\":30,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Saturation Shift Range Limit\"},\"min_val_shift\":{\"name\":\"Min Value '\n",
      "           'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Value Shift Range Limit\"},\"max_val_shift\":{\"name\":\"Max Value '\n",
      "           'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Value Shift Range Limit\"}}}},\"image_compression\":{\"name\":\"Image '\n",
      "           'Compression\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"quality_lower\":{\"name\":\"Lower '\n",
      "           'Quality '\n",
      "           'Limit\",\"value\":80,\"default\":80,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "           'Bound On The Image Quality\"},\"quality_upper\":{\"name\":\"Upper '\n",
      "           'Quality '\n",
      "           'Limit\",\"value\":100,\"default\":100,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "           'Bound On The Image Quality\"}}}},\"iso_noise\":{\"name\":\"ISO '\n",
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      "           'of Applying This Augmentation\"},\"min_color_shift\":{\"name\":\"Min '\n",
      "           'Color '\n",
      "           'Shift\",\"value\":0.01,\"default\":0.01,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Variance Range For Color Hue '\n",
      "           'Change\"},\"max_color_shift\":{\"name\":\"Max Color '\n",
      "           'Shift\",\"value\":0.05,\"default\":0.05,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Variance Range For Color Hue Change\"},\"min_intensity\":{\"name\":\"Min '\n",
      "           'Intensity\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":2,\"tooltip\":\"Minimum '\n",
      "           'Strength Of Color And Luminace '\n",
      "           'Noise\"},\"max_intensity\":{\"name\":\"Max '\n",
      "           'Intensity\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":2,\"tooltip\":\"Maximum '\n",
      "           'Strength Of Color And Luminace '\n",
      "           'Noise\"}}}},\"median_blur\":{\"name\":\"Median '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "           'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":99,\"tooltip\":\"Maximum '\n",
      "           'Aperture Linear Size For Blurring Input '\n",
      "           'Image\"}}}},\"motion_blur\":{\"name\":\"Motion '\n",
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      "           'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Kernel Size For Blurring Input '\n",
      "           'Image\"}}}},\"multiplicative_noise\":{\"name\":\"Multiplicative '\n",
      "           'Noise\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_multi\":{\"name\":\"Min '\n",
      "           'Multiplication '\n",
      "           'Limit\",\"value\":0.9,\"default\":0.9,\"min\":0.1,\"max\":5,\"tooltip\":\"Minimum '\n",
      "           'Random Number To Multiple With Input '\n",
      "           'Image\"},\"max_multi\":{\"name\":\"Max Multiplication '\n",
      "           'Limit\",\"value\":1.1,\"default\":1.1,\"min\":0.1,\"max\":5,\"tooltip\":\"Maximum '\n",
      "           'Random Number To Multiple With Input '\n",
      "           'Image\"}}}},\"posterize\":{\"name\":\"Posterize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"r_bits\":{\"name\":\"R Channel Number '\n",
      "           'Of Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number '\n",
      "           'Of Bits For Red Channel\"},\"g_bits\":{\"name\":\"G Channel Number Of '\n",
      "           'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "           'Bits For Green Channel\"},\"b_bits\":{\"name\":\"B Channel Number Of '\n",
      "           'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "           'Bits For Blue Channel\"}}}},\"random_blur\":{\"name\":\"Random '\n",
      "           'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_blur_limit\":{\"name\":\"Min Blur '\n",
      "           'Limit\",\"value\":3,\"default\":3,\"min\":3,\"max\":100,\"tooltip\":\"Minimum '\n",
      "           'Blur Limit That Should Be Used For This '\n",
      "           'Augmentation\"},\"max_blur_limit\":{\"name\":\"Max Blur '\n",
      "           'Limit\",\"value\":7,\"default\":7,\"min\":3,\"max\":100,\"tooltip\":\"Maximum '\n",
      "           'Blur Limit That Should Be Used For This '\n",
      "           'Augmentation\"}}}},\"random_brightness\":{\"name\":\"Random '\n",
      "           'Brightness\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing Brightness\"},\"max_limit\":{\"name\":\"Max '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"}}}},\"random_brightness_contrast\":{\"name\":\"Random '\n",
      "           'Brightness '\n",
      "           'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_bright_limit\":{\"name\":\"Min '\n",
      "           'Brightness '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"},\"max_bright_limit\":{\"name\":\"Max Brightness '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Brightness\"},\"min_contrast_limit\":{\"name\":\"Min Contrast '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"},\"max_contrast_limit\":{\"name\":\"Max Contrast '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"}}}},\"random_contrast\":{\"name\":\"Random '\n",
      "           'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min Contrast '\n",
      "           'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "           'Factor Range For Changing Contrast\"},\"max_limit\":{\"name\":\"Max '\n",
      "           'Contrast '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "           'Factor Range For Changing '\n",
      "           'Contrast\"}}}},\"random_fog\":{\"name\":\"Random '\n",
      "           'Fog\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"fog_coef_lower\":{\"name\":\"Lower '\n",
      "           'Coefficient '\n",
      "           'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "           'Limit For Fog Intensity '\n",
      "           'Coefficient\"},\"fog_coef_upper\":{\"name\":\"Upper Coefficient '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "           'Limit For Fog Intensity Coefficient\"},\"alpha_coef\":{\"name\":\"Alpha '\n",
      "           'Coefficient '\n",
      "           'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Transparency '\n",
      "           'Of Fog Circles\"}}}},\"random_gamma\":{\"name\":\"Random '\n",
      "           'Gamma\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"min_gamma_limit\":{\"name\":\"Min '\n",
      "           'Gamma '\n",
      "           'Limit\",\"value\":80,\"default\":80,\"min\":0,\"max\":200,\"tooltip\":\"Minimum '\n",
      "           'Limit For Gamma Range\"},\"max_gamma_limit\":{\"name\":\"Max Gamma '\n",
      "           'Limit\",\"value\":120,\"default\":120,\"min\":0,\"max\":200,\"tooltip\":\"Maximum '\n",
      "           'Limit For Gamma Range\"}}}},\"random_rain\":{\"name\":\"Random '\n",
      "           'Rain\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"slant_lower\":{\"name\":\"Lower '\n",
      "           'Slant\",\"value\":-10,\"default\":-10,\"min\":-20,\"max\":20,\"tooltip\":\"Lower '\n",
      "           'Slant Of Rain Droplet\"},\"slant_upper\":{\"name\":\"Upper '\n",
      "           'Slant\",\"value\":10,\"default\":10,\"min\":-20,\"max\":20,\"tooltip\":\"Upper '\n",
      "           'Slant Of Rain Droplet\"},\"drop_length\":{\"name\":\"Drop '\n",
      "           'Length\",\"value\":20,\"default\":20,\"min\":0,\"max\":100,\"tooltip\":\"Length '\n",
      "           'Of Rain Droplet\"},\"drop_width\":{\"name\":\"Drop '\n",
      "           'Width\",\"value\":1,\"default\":1,\"min\":1,\"max\":5,\"tooltip\":\"Width Of '\n",
      "           'Rain Droplet\"},\"drop_color_red\":{\"name\":\"Drop Color '\n",
      "           'Red\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Red '\n",
      "           'Channel Rain Droplet\"},\"drop_color_green\":{\"name\":\"Drop Color '\n",
      "           'Green\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Green '\n",
      "           'Channel Rain Droplet\"},\"drop_color_blue\":{\"name\":\"Drop Color '\n",
      "           'Blue\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Blue '\n",
      "           'Channel Rain Droplet\"},\"blur_value\":{\"name\":\"Blur '\n",
      "           'Value\",\"value\":7,\"default\":7,\"min\":1,\"max\":15,\"tooltip\":\"Blue '\n",
      "           'Channel Rain '\n",
      "           'Droplet\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "           'Coefficient\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":1,\"tooltip\":\"Brightness '\n",
      "           'Coefficient Factor For Rain '\n",
      "           'Droplet\"}}}},\"random_shadow\":{\"name\":\"Random '\n",
      "           'Shadow\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"x_min\":{\"name\":\"X '\n",
      "           'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum X '\n",
      "           'Axis Of Image Where Shadows Will Appear\"},\"y_min\":{\"name\":\"Y '\n",
      "           'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum Y '\n",
      "           'Axis Of Image Where Shadows Will Appear\"},\"x_max\":{\"name\":\"X '\n",
      "           'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum X '\n",
      "           'Axis Of Image Where Shadows Will Appear\"},\"y_max\":{\"name\":\"Y '\n",
      "           'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum Y '\n",
      "           'Axis Of Image Where Shadows Will '\n",
      "           'Appear\"},\"num_shadows_lower\":{\"name\":\"Number Of Shadows Lower '\n",
      "           'Limit\",\"value\":1,\"default\":1,\"min\":0,\"max\":20,\"tooltip\":\"Lower '\n",
      "           'Limit For Possible Number Of '\n",
      "           'Shadows\"},\"num_shadows_upper\":{\"name\":\"Number Of Shadows Upper '\n",
      "           'Limit\",\"value\":5,\"default\":5,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "           'Limit For Possible Number Of '\n",
      "           'Shadows\"},\"shadow_dimension\":{\"name\":\"Number Of '\n",
      "           'Edges\",\"value\":5,\"default\":5,\"min\":3,\"max\":20,\"tooltip\":\"Number Of '\n",
      "           'Edges In Shadow Polygons\"}}}},\"random_snow\":{\"name\":\"Random '\n",
      "           'Snow\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"snow_point_lower\":{\"name\":\"Lower '\n",
      "           'Snow '\n",
      "           'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "           'Limit Of The Amount Of Snow\"},\"snow_point_upper\":{\"name\":\"Upper '\n",
      "           'Snow '\n",
      "           'Limit\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "           'Limit Of The Amount Of '\n",
      "           'Snow\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "           'Coefficient\",\"value\":2.5,\"default\":2.5,\"min\":0,\"max\":5,\"tooltip\":\"Brightness '\n",
      "           'Coefficient Factor For Snow\"}}}},\"random_sunflare\":{\"name\":\"Random '\n",
      "           'Sun '\n",
      "           'Flare\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"x_min\":{\"name\":\"X '\n",
      "           'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum X '\n",
      "           'Axis Of Image Where Flares Will Appear\"},\"y_min\":{\"name\":\"Y '\n",
      "           'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum Y '\n",
      "           'Axis Of Image Where Flares Will Appear\"},\"x_max\":{\"name\":\"X '\n",
      "           'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum X '\n",
      "           'Axis Of Image Where Flares Will Appear\"},\"y_max\":{\"name\":\"Y '\n",
      "           'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum Y '\n",
      "           'Axis Of Image Where Flares Will '\n",
      "           'Appear\"},\"angle_lower\":{\"name\":\"Angle Lower '\n",
      "           'Limit\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "           'Limit For Flares Angle\"},\"angle_upper\":{\"name\":\"Angle Upper '\n",
      "           'Limit\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "           'Limit For Flares Angle\"},\"num_flare_circles_lower\":{\"name\":\"Number '\n",
      "           'Of Flares Lower '\n",
      "           'Limit\",\"value\":6,\"default\":6,\"min\":0,\"max\":20,\"tooltip\":\"Lower '\n",
      "           'Limit For Possible Number Of '\n",
      "           'Flares\"},\"num_flare_circles_upper\":{\"name\":\"Number Of Flares Upper '\n",
      "           'Limit\",\"value\":10,\"default\":10,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "           'Limit For Possible Number Of Flares\"}}}},\"rgb_shift\":{\"name\":\"RGB '\n",
      "           'Shift\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This Augmentation\"},\"lower_r_shift_limit\":{\"name\":\"R '\n",
      "           'Channel Shift Lower '\n",
      "           'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "           'Limit For Changing Values For Red '\n",
      "           'Channel\"},\"upper_r_shift_limit\":{\"name\":\"R Channel Shift Upper '\n",
      "           'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "           'Limit For Changing Values For Red '\n",
      "           'Channel\"},\"lower_g_shift_limit\":{\"name\":\"G Channel Shift Lower '\n",
      "           'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "           'Limit For Changing Values For Green '\n",
      "           'Channel\"},\"upper_g_shift_limit\":{\"name\":\"G Channel Shift Upper '\n",
      "           'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "           'Limit For Changing Values For Green '\n",
      "           'Channel\"},\"lower_b_shift_limit\":{\"name\":\"B Channel Shift Lower '\n",
      "           'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "           'Limit For Changing Values For Blue '\n",
      "           'Channel\"},\"upper_b_shift_limit\":{\"name\":\"B Channel Shift Upper '\n",
      "           'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "           'Limit For Changing Values For Blue '\n",
      "           'Channel\"}}}},\"sepia\":{\"name\":\"Sepia\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"}}}},\"solarize\":{\"name\":\"Solarize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "           'of Applying This '\n",
      "           'Augmentation\"},\"threshold\":{\"name\":\"Threshold\",\"value\":128,\"default\":128,\"min\":0,\"max\":255,\"tooltip\":\"Invert '\n",
      "           'All Pixel Values Above A '\n",
      "           'Threshold\"}}}}}}}}},\"position\":{\"x\":450,\"y\":345},\"__rf\":{\"position\":{\"x\":450,\"y\":345},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676354211794\",\"type\":\"fasterrcnn-inceptionv2-1024x1024\",\"basetype\":\"model\",\"data\":{\"schema\":{\"title\":\"FasterRCNN '\n",
      "           'InceptionV2 '\n",
      "           '1024x1024\",\"tag\":\"fasterrcnn-inceptionv2-1024x1024\",\"hasSource\":true,\"hasDestination\":false,\"subtitle\":{\"targetparam\":\"training\",\"targetarg\":\"batchsize\",\"template\":\"%% '\n",
      "           'Images per Batch\"},\"parameters\":{\"training\":{\"name\":\"Training '\n",
      "           'Parameters\",\"args\":{\"batchsize\":{\"name\":\"Batch '\n",
      "           'Size\",\"type\":\"number\",\"value\":2,\"default\":2},\"epochs\":{\"name\":\"Training '\n",
      "           'Epochs\",\"type\":\"number\",\"value\":\"500\",\"default\":1000}}},\"pipeline\":{\"name\":\"Model '\n",
      "           'Configurations\",\"args\":{\"max_detection_per_class\":{\"name\":\"Max '\n",
      "           'Detections Per '\n",
      "           'Class\",\"type\":\"number\",\"value\":30,\"default\":30}}}}}},\"position\":{\"x\":450,\"y\":555},\"__rf\":{\"position\":{\"x\":450,\"y\":555},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":null,\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false}},{\"source\":\"1676354211779\",\"target\":\"1676354211789\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676354211779undefined-1676354211789undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"},{\"source\":\"1676354211789\",\"target\":\"1676354211794\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676354211789undefined-1676354211794undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"}]',\n",
      "  'title': 'Example Old Workflow'}]\n"
     ]
    }
   ],
   "source": [
    "# List all the workflows that exist in the project\n",
    "workflow_list_response = datature.Workflow.list()\n",
    "# Display response for the list all workflow operation\n",
    "pprint.pprint(workflow_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f6c18cc",
   "metadata": {},
   "source": [
    "## 9.2. Retrieve A Workflow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f270c369",
   "metadata": {},
   "source": [
    "Retrieve a workflow based on the workflow's id. This will include the metadata for the specified workflow itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3fc42665",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'flow_63eb50320915a2159bf5442b',\n",
      " 'last_updated': 1676365892830,\n",
      " 'object': 'workflow',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'state': '[{\"id\":\"1676365876014\",\"type\":\"dataset\",\"basetype\":\"dataset\",\"data\":{\"schema\":{\"title\":\"Dataset\",\"hasSource\":false,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"dataset_setup\",\"targetarg\":\"train_test_split\",\"template\":\"Train-Test '\n",
      "          'Split %% Ratio\"},\"parameters\":{\"dataset_setup\":{\"name\":\"Dataset '\n",
      "          'Setup\",\"args\":{\"train_test_split\":{\"name\":\"Train-Test '\n",
      "          'Split\",\"type\":\"float\",\"value\":0.3,\"default\":0.3},\"shuffle\":{\"name\":\"Shuffle '\n",
      "          'Dataset\",\"type\":\"boolean\",\"value\":true,\"default\":true},\"random_seed\":{\"name\":\"Random '\n",
      "          'Seed\",\"type\":\"number\",\"value\":0,\"default\":0}}}}}},\"position\":{\"x\":450,\"y\":150},\"__rf\":{\"position\":{\"x\":450,\"y\":150},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":null},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676365876027\",\"type\":\"augmentation\",\"basetype\":\"augmentation\",\"data\":{\"schema\":{\"title\":\"Augmentations\",\"hasSource\":true,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"options\",\"targetarg\":\"advanced_mode\",\"template\":\"Advanced '\n",
      "          'Mode : '\n",
      "          '%%\"},\"parameters\":{\"options\":{\"name\":\"Options\",\"args\":{\"advanced_mode\":{\"name\":\"Advanced '\n",
      "          'Mode\",\"type\":\"boolean\",\"value\":false,\"default\":false}}},\"position_transforms\":{\"name\":\"Random '\n",
      "          'Position Augmentations\",\"args\":{\"center_crop\":{\"name\":\"Center '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The Crop '\n",
      "          '(1%-100%)\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop '\n",
      "          '(1%-100%)\"}}}},\"random_horizontal_flip\":{\"name\":\"Flip '\n",
      "          'Horizontal\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"random_vertical_flip\":{\"name\":\"Flip '\n",
      "          'Vertical\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"}}}},\"random_crop\":{\"name\":\"Random '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The '\n",
      "          'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop\"}}}},\"random_rotate\":{\"name\":\"Random '\n",
      "          'Rotate\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_rotation\":{\"name\":\"Minimum '\n",
      "          'Rotation\",\"value\":-90,\"default\":-90,\"min\":-180,\"max\":180,\"tooltip\":\"Minimum '\n",
      "          'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "          'Rotation\",\"value\":90,\"default\":90,\"min\":-180,\"max\":180,\"tooltip\":\"Maximum '\n",
      "          'Rotation Angle\"}}}},\"random_resized_crop\":{\"name\":\"Random Resized '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The '\n",
      "          'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop\"},\"min_scale\":{\"name\":\"Minimum '\n",
      "          'Scale\",\"value\":0.08,\"default\":0.08,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_scale\":{\"name\":\"Maximum '\n",
      "          'Scale\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"min_aspect_ratio\":{\"name\":\"Minimum Aspect '\n",
      "          'Ratio\",\"value\":0.75,\"default\":0.75,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_aspect_ratio\":{\"name\":\"Maximum Aspect '\n",
      "          'Ratio\",\"value\":1.33,\"default\":1.33,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"}}}},\"random_sized_crop\":{\"name\":\"Random Sized '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_height\":{\"name\":\"Minimum Crop '\n",
      "          'Size '\n",
      "          'Height\",\"value\":50,\"default\":50,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Minimum Crop Size Limit\"},\"max_height\":{\"name\":\"Maximum '\n",
      "          'Crop Size '\n",
      "          'Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Maximum Crop Size '\n",
      "          'Height\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height After The Crop And '\n",
      "          'Resize\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width After The Crop And '\n",
      "          'Resize\"},\"w2h_ratio\":{\"name\":\"Width to Height '\n",
      "          'Ratio\",\"value\":1,\"default\":1,\"min\":0.1,\"max\":1,\"tooltip\":\"Aspect '\n",
      "          'Ratio of Crop\"}}}},\"shift_scale_rotate\":{\"name\":\"Shift Scale '\n",
      "          'Rotate\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_shift\":{\"name\":\"Minimum '\n",
      "          'Shift\",\"value\":-0.0625,\"default\":-0.0625,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Range Of Shift Factor For Height And '\n",
      "          'Width\"},\"max_shift\":{\"name\":\"Maximum '\n",
      "          'Shift\",\"value\":0.0625,\"default\":0.0625,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Range Of Shift Factor For Height And '\n",
      "          'Width\"},\"min_scale\":{\"name\":\"Minimum '\n",
      "          'Scale\",\"value\":-0.1,\"default\":-0.1,\"min\":-2,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_scale\":{\"name\":\"Maximum '\n",
      "          'Scale\",\"value\":0.1,\"default\":0.1,\"min\":-2,\"max\":2,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"min_rotation\":{\"name\":\"Minimum '\n",
      "          'Rotation\",\"value\":-45,\"default\":-45,\"min\":-360,\"max\":360,\"tooltip\":\"Minimum '\n",
      "          'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "          'Rotation\",\"value\":45,\"default\":45,\"min\":-360,\"max\":360,\"tooltip\":\"Maximum '\n",
      "          'Rotation Angle\"}}}}}},\"color_transforms\":{\"name\":\"Color Space '\n",
      "          'Augmentations\",\"args\":{\"channel_dropout\":{\"name\":\"Channel '\n",
      "          'Dropout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"min_channel_dropout_range\":{\"name\":\"Min Channel '\n",
      "          'Dropout '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Channel Dropout Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"max_channel_dropout_range\":{\"name\":\"Max Channel '\n",
      "          'Dropout '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Maximum '\n",
      "          'Channel Dropout Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"fill_value\":{\"name\":\"Fill '\n",
      "          'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "          'Value For The Dropped '\n",
      "          'Channel\"}}}},\"channel_shuffle\":{\"name\":\"Channel '\n",
      "          'Shuffle\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"CLAHE\":{\"name\":\"CLAHE\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_clip_limit\":{\"name\":\"Min Clip '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "          'Threshold Value For Contrast '\n",
      "          'Limiting\"},\"max_clip_limit\":{\"name\":\"Max Clip '\n",
      "          'Limit\",\"value\":4,\"default\":4,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "          'Threshold Value For Contrast '\n",
      "          'Limiting\"},\"min_tile_grid_size\":{\"name\":\"Min Grid '\n",
      "          'Limit\",\"value\":8,\"default\":8,\"min\":1,\"max\":99,\"tooltip\":\"Lower '\n",
      "          'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
      "          'Equalization\"},\"max_tile_grid_size\":{\"name\":\"Max Grid '\n",
      "          'Limit\",\"value\":8,\"default\":8,\"min\":1,\"max\":99,\"tooltip\":\"Upper '\n",
      "          'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
      "          'Equalization\"}}}},\"color_jitter\":{\"name\":\"Color '\n",
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      "          'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Brightness\"},\"max_brightness\":{\"name\":\"Max '\n",
      "          'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Brightness\"},\"min_contrast\":{\"name\":\"Min '\n",
      "          'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter Contrast\"},\"max_contrast\":{\"name\":\"Max '\n",
      "          'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Contrast\"},\"min_saturation\":{\"name\":\"Min '\n",
      "          'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Saturation\"},\"max_saturation\":{\"name\":\"Max '\n",
      "          'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter Saturation\"},\"min_hue\":{\"name\":\"Min '\n",
      "          'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter Hue\"},\"max_hue\":{\"name\":\"Max '\n",
      "          'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Hue\"}}}},\"cutout\":{\"name\":\"Cutout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Holes\",\"value\":8,\"default\":8,\"min\":0,\"max\":100,\"tooltip\":\"Number Of '\n",
      "          'Regions To Zero Out\"},\"max_h_size\":{\"name\":\"Max Hole '\n",
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      "          'Hole '\n",
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      "          'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "          'Value For The Dropped '\n",
      "          'Channel\"}}}},\"equalize\":{\"name\":\"Equalize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"fancy_pca\":{\"name\":\"FancyPCA\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"alpha\":{\"name\":\"Alpha\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"How '\n",
      "          'Much To Pertub/Scale The Eigen Vectors And '\n",
      "          'Values\"}}}},\"gaussian_blur\":{\"name\":\"Gaussian '\n",
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      "          'Gaussian Kernel Standard Deviation\"},\"max_sigma\":{\"name\":\"Max Sigma '\n",
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      "          'Gaussian Kernel Standard '\n",
      "          'Deviation\"}}}},\"gauss_noise\":{\"name\":\"Gaussian '\n",
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      "          'of Applying This Augmentation\"},\"min_var\":{\"name\":\"Min Variance '\n",
      "          'Range\",\"value\":10,\"default\":10,\"min\":0,\"max\":500,\"tooltip\":\"Minimum '\n",
      "          'Variance Range For Noise\"},\"max_var\":{\"name\":\"Max Variance '\n",
      "          'Range\",\"value\":50,\"default\":50,\"min\":0,\"max\":500,\"tooltip\":\"Maximum '\n",
      "          'Variance Range For '\n",
      "          'Noise\"},\"mean\":{\"name\":\"Mean\",\"value\":0,\"default\":0,\"min\":-100,\"max\":100,\"tooltip\":\"Mean '\n",
      "          'Of The Noise\"}}}},\"glass_blur\":{\"name\":\"Glass '\n",
      "          'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"sigma\":{\"name\":\"Sigma\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":3,\"tooltip\":\"Standard '\n",
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      "          'Delta\",\"value\":4,\"default\":4,\"min\":1,\"max\":10,\"tooltip\":\"Max '\n",
      "          'Distance Between Pixels Which Are '\n",
      "          'Swapped\"},\"iterations\":{\"name\":\"Iterations\",\"value\":2,\"default\":2,\"min\":1,\"max\":10,\"tooltip\":\"Number '\n",
      "          'Of '\n",
      "          'Repeats\"}}}},\"random_rgb_to_gray\":{\"name\":\"Grayscale\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"}}}},\"hue_sat_val\":{\"name\":\"Hue '\n",
      "          'Saturation '\n",
      "          'Value\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_hue_shift\":{\"name\":\"Min Hue '\n",
      "          'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Hue Shift Range Limit\"},\"max_hue_shift\":{\"name\":\"Max Hue '\n",
      "          'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Hue Shift Range Limit\"},\"min_sat_shift\":{\"name\":\"Min Saturation '\n",
      "          'Shift\",\"value\":-30,\"default\":-30,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Saturation Shift Range Limit\"},\"max_sat_shift\":{\"name\":\"Max '\n",
      "          'Saturation '\n",
      "          'Shift\",\"value\":30,\"default\":30,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Saturation Shift Range Limit\"},\"min_val_shift\":{\"name\":\"Min Value '\n",
      "          'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Value Shift Range Limit\"},\"max_val_shift\":{\"name\":\"Max Value '\n",
      "          'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Value Shift Range Limit\"}}}},\"image_compression\":{\"name\":\"Image '\n",
      "          'Compression\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"quality_lower\":{\"name\":\"Lower '\n",
      "          'Quality '\n",
      "          'Limit\",\"value\":80,\"default\":80,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "          'Bound On The Image Quality\"},\"quality_upper\":{\"name\":\"Upper Quality '\n",
      "          'Limit\",\"value\":100,\"default\":100,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "          'Bound On The Image Quality\"}}}},\"iso_noise\":{\"name\":\"ISO '\n",
      "          'Noise\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_color_shift\":{\"name\":\"Min '\n",
      "          'Color '\n",
      "          'Shift\",\"value\":0.01,\"default\":0.01,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Variance Range For Color Hue '\n",
      "          'Change\"},\"max_color_shift\":{\"name\":\"Max Color '\n",
      "          'Shift\",\"value\":0.05,\"default\":0.05,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Variance Range For Color Hue Change\"},\"min_intensity\":{\"name\":\"Min '\n",
      "          'Intensity\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Strength Of Color And Luminace Noise\"},\"max_intensity\":{\"name\":\"Max '\n",
      "          'Intensity\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":2,\"tooltip\":\"Maximum '\n",
      "          'Strength Of Color And Luminace '\n",
      "          'Noise\"}}}},\"median_blur\":{\"name\":\"Median '\n",
      "          'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"max_blur_limit\":{\"name\":\"Max '\n",
      "          'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":99,\"tooltip\":\"Maximum '\n",
      "          'Aperture Linear Size For Blurring Input '\n",
      "          'Image\"}}}},\"motion_blur\":{\"name\":\"Motion '\n",
      "          'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Blur\",\"value\":7,\"default\":7,\"min\":7,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Kernel Size For Blurring Input '\n",
      "          'Image\"}}}},\"multiplicative_noise\":{\"name\":\"Multiplicative '\n",
      "          'Noise\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_multi\":{\"name\":\"Min '\n",
      "          'Multiplication '\n",
      "          'Limit\",\"value\":0.9,\"default\":0.9,\"min\":0.1,\"max\":5,\"tooltip\":\"Minimum '\n",
      "          'Random Number To Multiple With Input '\n",
      "          'Image\"},\"max_multi\":{\"name\":\"Max Multiplication '\n",
      "          'Limit\",\"value\":1.1,\"default\":1.1,\"min\":0.1,\"max\":5,\"tooltip\":\"Maximum '\n",
      "          'Random Number To Multiple With Input '\n",
      "          'Image\"}}}},\"posterize\":{\"name\":\"Posterize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"r_bits\":{\"name\":\"R Channel Number '\n",
      "          'Of Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "          'Bits For Red Channel\"},\"g_bits\":{\"name\":\"G Channel Number Of '\n",
      "          'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "          'Bits For Green Channel\"},\"b_bits\":{\"name\":\"B Channel Number Of '\n",
      "          'Bits\",\"value\":4,\"default\":4,\"min\":0,\"max\":8,\"tooltip\":\"Number Of '\n",
      "          'Bits For Blue Channel\"}}}},\"random_blur\":{\"name\":\"Random '\n",
      "          'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_blur_limit\":{\"name\":\"Min Blur '\n",
      "          'Limit\",\"value\":3,\"default\":3,\"min\":3,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Blur Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"max_blur_limit\":{\"name\":\"Max Blur '\n",
      "          'Limit\",\"value\":7,\"default\":7,\"min\":3,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Blur Limit That Should Be Used For This '\n",
      "          'Augmentation\"}}}},\"random_brightness\":{\"name\":\"Random '\n",
      "          'Brightness\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min Brightness '\n",
      "          'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Factor Range For Changing Brightness\"},\"max_limit\":{\"name\":\"Max '\n",
      "          'Brightness '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Factor Range For Changing '\n",
      "          'Brightness\"}}}},\"random_brightness_contrast\":{\"name\":\"Random '\n",
      "          'Brightness '\n",
      "          'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_bright_limit\":{\"name\":\"Min '\n",
      "          'Brightness '\n",
      "          'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Factor Range For Changing '\n",
      "          'Brightness\"},\"max_bright_limit\":{\"name\":\"Max Brightness '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Factor Range For Changing '\n",
      "          'Brightness\"},\"min_contrast_limit\":{\"name\":\"Min Contrast '\n",
      "          'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Factor Range For Changing '\n",
      "          'Contrast\"},\"max_contrast_limit\":{\"name\":\"Max Contrast '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Factor Range For Changing '\n",
      "          'Contrast\"}}}},\"random_contrast\":{\"name\":\"Random '\n",
      "          'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_limit\":{\"name\":\"Min Contrast '\n",
      "          'Limit\",\"value\":-0.2,\"default\":-0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Factor Range For Changing Contrast\"},\"max_limit\":{\"name\":\"Max '\n",
      "          'Contrast '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Factor Range For Changing '\n",
      "          'Contrast\"}}}},\"random_fog\":{\"name\":\"Random '\n",
      "          'Fog\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"fog_coef_lower\":{\"name\":\"Lower '\n",
      "          'Coefficient '\n",
      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "          'Limit For Fog Intensity '\n",
      "          'Coefficient\"},\"fog_coef_upper\":{\"name\":\"Upper Coefficient '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "          'Limit For Fog Intensity Coefficient\"},\"alpha_coef\":{\"name\":\"Alpha '\n",
      "          'Coefficient '\n",
      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Transparency '\n",
      "          'Of Fog Circles\"}}}},\"random_gamma\":{\"name\":\"Random '\n",
      "          'Gamma\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_gamma_limit\":{\"name\":\"Min '\n",
      "          'Gamma '\n",
      "          'Limit\",\"value\":80,\"default\":80,\"min\":0,\"max\":200,\"tooltip\":\"Minimum '\n",
      "          'Limit For Gamma Range\"},\"max_gamma_limit\":{\"name\":\"Max Gamma '\n",
      "          'Limit\",\"value\":120,\"default\":120,\"min\":0,\"max\":200,\"tooltip\":\"Maximum '\n",
      "          'Limit For Gamma Range\"}}}},\"random_rain\":{\"name\":\"Random '\n",
      "          'Rain\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"slant_lower\":{\"name\":\"Lower '\n",
      "          'Slant\",\"value\":-10,\"default\":-10,\"min\":-20,\"max\":20,\"tooltip\":\"Lower '\n",
      "          'Slant Of Rain Droplet\"},\"slant_upper\":{\"name\":\"Upper '\n",
      "          'Slant\",\"value\":10,\"default\":10,\"min\":-20,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Slant Of Rain Droplet\"},\"drop_length\":{\"name\":\"Drop '\n",
      "          'Length\",\"value\":20,\"default\":20,\"min\":0,\"max\":100,\"tooltip\":\"Length '\n",
      "          'Of Rain Droplet\"},\"drop_width\":{\"name\":\"Drop '\n",
      "          'Width\",\"value\":1,\"default\":1,\"min\":1,\"max\":5,\"tooltip\":\"Width Of '\n",
      "          'Rain Droplet\"},\"drop_color_red\":{\"name\":\"Drop Color '\n",
      "          'Red\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Red Channel '\n",
      "          'Rain Droplet\"},\"drop_color_green\":{\"name\":\"Drop Color '\n",
      "          'Green\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Green '\n",
      "          'Channel Rain Droplet\"},\"drop_color_blue\":{\"name\":\"Drop Color '\n",
      "          'Blue\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Blue '\n",
      "          'Channel Rain Droplet\"},\"blur_value\":{\"name\":\"Blur '\n",
      "          'Value\",\"value\":7,\"default\":7,\"min\":1,\"max\":15,\"tooltip\":\"Blue '\n",
      "          'Channel Rain Droplet\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "          'Coefficient\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":1,\"tooltip\":\"Brightness '\n",
      "          'Coefficient Factor For Rain '\n",
      "          'Droplet\"}}}},\"random_shadow\":{\"name\":\"Random '\n",
      "          'Shadow\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"x_min\":{\"name\":\"X '\n",
      "          'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum X '\n",
      "          'Axis Of Image Where Shadows Will Appear\"},\"y_min\":{\"name\":\"Y '\n",
      "          'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum Y '\n",
      "          'Axis Of Image Where Shadows Will Appear\"},\"x_max\":{\"name\":\"X '\n",
      "          'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum X '\n",
      "          'Axis Of Image Where Shadows Will Appear\"},\"y_max\":{\"name\":\"Y '\n",
      "          'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum Y '\n",
      "          'Axis Of Image Where Shadows Will '\n",
      "          'Appear\"},\"num_shadows_lower\":{\"name\":\"Number Of Shadows Lower '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":0,\"max\":20,\"tooltip\":\"Lower '\n",
      "          'Limit For Possible Number Of '\n",
      "          'Shadows\"},\"num_shadows_upper\":{\"name\":\"Number Of Shadows Upper '\n",
      "          'Limit\",\"value\":5,\"default\":5,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Limit For Possible Number Of '\n",
      "          'Shadows\"},\"shadow_dimension\":{\"name\":\"Number Of '\n",
      "          'Edges\",\"value\":5,\"default\":5,\"min\":3,\"max\":20,\"tooltip\":\"Number Of '\n",
      "          'Edges In Shadow Polygons\"}}}},\"random_snow\":{\"name\":\"Random '\n",
      "          'Snow\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"snow_point_lower\":{\"name\":\"Lower '\n",
      "          'Snow '\n",
      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "          'Limit Of The Amount Of Snow\"},\"snow_point_upper\":{\"name\":\"Upper '\n",
      "          'Snow '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "          'Limit Of The Amount Of '\n",
      "          'Snow\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "          'Coefficient\",\"value\":2.5,\"default\":2.5,\"min\":0,\"max\":5,\"tooltip\":\"Brightness '\n",
      "          'Coefficient Factor For Snow\"}}}},\"random_sunflare\":{\"name\":\"Random '\n",
      "          'Sun '\n",
      "          'Flare\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"x_min\":{\"name\":\"X '\n",
      "          'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum X '\n",
      "          'Axis Of Image Where Flares Will Appear\"},\"y_min\":{\"name\":\"Y '\n",
      "          'Min\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Minimum Y '\n",
      "          'Axis Of Image Where Flares Will Appear\"},\"x_max\":{\"name\":\"X '\n",
      "          'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum X '\n",
      "          'Axis Of Image Where Flares Will Appear\"},\"y_max\":{\"name\":\"Y '\n",
      "          'Max\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum Y '\n",
      "          'Axis Of Image Where Flares Will '\n",
      "          'Appear\"},\"angle_lower\":{\"name\":\"Angle Lower '\n",
      "          'Limit\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Lower Limit '\n",
      "          'For Flares Angle\"},\"angle_upper\":{\"name\":\"Angle Upper '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Upper Limit '\n",
      "          'For Flares Angle\"},\"num_flare_circles_lower\":{\"name\":\"Number Of '\n",
      "          'Flares Lower '\n",
      "          'Limit\",\"value\":6,\"default\":6,\"min\":0,\"max\":20,\"tooltip\":\"Lower '\n",
      "          'Limit For Possible Number Of '\n",
      "          'Flares\"},\"num_flare_circles_upper\":{\"name\":\"Number Of Flares Upper '\n",
      "          'Limit\",\"value\":10,\"default\":10,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Limit For Possible Number Of Flares\"}}}},\"rgb_shift\":{\"name\":\"RGB '\n",
      "          'Shift\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"lower_r_shift_limit\":{\"name\":\"R '\n",
      "          'Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Red '\n",
      "          'Channel\"},\"upper_r_shift_limit\":{\"name\":\"R Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Red '\n",
      "          'Channel\"},\"lower_g_shift_limit\":{\"name\":\"G Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Green '\n",
      "          'Channel\"},\"upper_g_shift_limit\":{\"name\":\"G Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Green '\n",
      "          'Channel\"},\"lower_b_shift_limit\":{\"name\":\"B Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Blue '\n",
      "          'Channel\"},\"upper_b_shift_limit\":{\"name\":\"B Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Blue '\n",
      "          'Channel\"}}}},\"sepia\":{\"name\":\"Sepia\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"solarize\":{\"name\":\"Solarize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"threshold\":{\"name\":\"Threshold\",\"value\":128,\"default\":128,\"min\":0,\"max\":255,\"tooltip\":\"Invert '\n",
      "          'All Pixel Values Above A '\n",
      "          'Threshold\"}}}}}}}}},\"position\":{\"x\":450,\"y\":345},\"__rf\":{\"position\":{\"x\":450,\"y\":345},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676365876032\",\"type\":\"fasterrcnn-inceptionv2-1024x1024\",\"basetype\":\"model\",\"data\":{\"schema\":{\"title\":\"FasterRCNN '\n",
      "          'InceptionV2 '\n",
      "          '1024x1024\",\"tag\":\"fasterrcnn-inceptionv2-1024x1024\",\"hasSource\":true,\"hasDestination\":false,\"subtitle\":{\"targetparam\":\"training\",\"targetarg\":\"batchsize\",\"template\":\"%% '\n",
      "          'Images per Batch\"},\"parameters\":{\"training\":{\"name\":\"Training '\n",
      "          'Parameters\",\"args\":{\"batchsize\":{\"name\":\"Batch '\n",
      "          'Size\",\"type\":\"number\",\"value\":2,\"default\":2},\"epochs\":{\"name\":\"Training '\n",
      "          'Epochs\",\"type\":\"number\",\"value\":1000,\"default\":1000}}},\"pipeline\":{\"name\":\"Model '\n",
      "          'Configurations\",\"args\":{\"max_detection_per_class\":{\"name\":\"Max '\n",
      "          'Detections Per '\n",
      "          'Class\",\"type\":\"number\",\"value\":30,\"default\":30}}}}}},\"position\":{\"x\":450,\"y\":555},\"__rf\":{\"position\":{\"x\":450,\"y\":555},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":null,\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false}},{\"source\":\"1676365876014\",\"target\":\"1676365876027\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676365876014undefined-1676365876027undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"},{\"source\":\"1676365876027\",\"target\":\"1676365876032\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676365876027undefined-1676365876032undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"}]',\n",
      " 'title': 'Example Workflow To Be Deleted'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve a workflow by the specified workflow id\n",
    "workflow_retrieve_response = datature.Workflow.retrieve(\n",
    "    \"flow_63eb50320915a2159bf5442b\"\n",
    ")\n",
    "# Display response for the retrieval of workflow operation\n",
    "pprint.pprint(workflow_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35168542",
   "metadata": {},
   "source": [
    "## 9.3. Update A Workflow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d07b6e66",
   "metadata": {},
   "source": [
    "Updates the properties of a workflow based on the specified workflow id. Currently the only metadata that can be modified is the `title` of the workflow. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8e5f6cba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'flow_63eb50320915a2159bf5442b',\n",
      " 'last_updated': 1676365892830,\n",
      " 'object': 'workflow',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'state': '[{\"id\":\"1676365876014\",\"type\":\"dataset\",\"basetype\":\"dataset\",\"data\":{\"schema\":{\"title\":\"Dataset\",\"hasSource\":false,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"dataset_setup\",\"targetarg\":\"train_test_split\",\"template\":\"Train-Test '\n",
      "          'Split %% Ratio\"},\"parameters\":{\"dataset_setup\":{\"name\":\"Dataset '\n",
      "          'Setup\",\"args\":{\"train_test_split\":{\"name\":\"Train-Test '\n",
      "          'Split\",\"type\":\"float\",\"value\":0.3,\"default\":0.3},\"shuffle\":{\"name\":\"Shuffle '\n",
      "          'Dataset\",\"type\":\"boolean\",\"value\":true,\"default\":true},\"random_seed\":{\"name\":\"Random '\n",
      "          'Seed\",\"type\":\"number\",\"value\":0,\"default\":0}}}}}},\"position\":{\"x\":450,\"y\":150},\"__rf\":{\"position\":{\"x\":450,\"y\":150},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":null},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676365876027\",\"type\":\"augmentation\",\"basetype\":\"augmentation\",\"data\":{\"schema\":{\"title\":\"Augmentations\",\"hasSource\":true,\"hasDestination\":true,\"subtitle\":{\"targetparam\":\"options\",\"targetarg\":\"advanced_mode\",\"template\":\"Advanced '\n",
      "          'Mode : '\n",
      "          '%%\"},\"parameters\":{\"options\":{\"name\":\"Options\",\"args\":{\"advanced_mode\":{\"name\":\"Advanced '\n",
      "          'Mode\",\"type\":\"boolean\",\"value\":false,\"default\":false}}},\"position_transforms\":{\"name\":\"Random '\n",
      "          'Position Augmentations\",\"args\":{\"center_crop\":{\"name\":\"Center '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The Crop '\n",
      "          '(1%-100%)\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop '\n",
      "          '(1%-100%)\"}}}},\"random_horizontal_flip\":{\"name\":\"Flip '\n",
      "          'Horizontal\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"random_vertical_flip\":{\"name\":\"Flip '\n",
      "          'Vertical\",\"type\":\"augmentation\",\"value\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}},\"default\":{\"enabled\":true,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"}}}},\"random_crop\":{\"name\":\"Random '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The '\n",
      "          'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop\"}}}},\"random_rotate\":{\"name\":\"Random '\n",
      "          'Rotate\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_rotation\":{\"name\":\"Minimum '\n",
      "          'Rotation\",\"value\":-90,\"default\":-90,\"min\":-180,\"max\":180,\"tooltip\":\"Minimum '\n",
      "          'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "          'Rotation\",\"value\":90,\"default\":90,\"min\":-180,\"max\":180,\"tooltip\":\"Maximum '\n",
      "          'Rotation Angle\"}}}},\"random_resized_crop\":{\"name\":\"Random Resized '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height Of The '\n",
      "          'Crop\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width Of The Crop\"},\"min_scale\":{\"name\":\"Minimum '\n",
      "          'Scale\",\"value\":0.08,\"default\":0.08,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_scale\":{\"name\":\"Maximum '\n",
      "          'Scale\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"min_aspect_ratio\":{\"name\":\"Minimum Aspect '\n",
      "          'Ratio\",\"value\":0.75,\"default\":0.75,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_aspect_ratio\":{\"name\":\"Maximum Aspect '\n",
      "          'Ratio\",\"value\":1.33,\"default\":1.33,\"min\":0.1,\"max\":10,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"}}}},\"random_sized_crop\":{\"name\":\"Random Sized '\n",
      "          'Crop\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_height\":{\"name\":\"Minimum Crop '\n",
      "          'Size '\n",
      "          'Height\",\"value\":50,\"default\":50,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Minimum Crop Size Limit\"},\"max_height\":{\"name\":\"Maximum '\n",
      "          'Crop Size '\n",
      "          'Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Maximum Crop Size '\n",
      "          'Height\"},\"height\":{\"name\":\"Height\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Height After The Crop And '\n",
      "          'Resize\"},\"width\":{\"name\":\"Width\",\"value\":70,\"default\":70,\"min\":1,\"max\":99,\"tooltip\":\"Percentage '\n",
      "          '(1%-99%) Width After The Crop And '\n",
      "          'Resize\"},\"w2h_ratio\":{\"name\":\"Width to Height '\n",
      "          'Ratio\",\"value\":1,\"default\":1,\"min\":0.1,\"max\":1,\"tooltip\":\"Aspect '\n",
      "          'Ratio of Crop\"}}}},\"shift_scale_rotate\":{\"name\":\"Shift Scale '\n",
      "          'Rotate\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_shift\":{\"name\":\"Minimum '\n",
      "          'Shift\",\"value\":-0.0625,\"default\":-0.0625,\"min\":-1,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Range Of Shift Factor For Height And '\n",
      "          'Width\"},\"max_shift\":{\"name\":\"Maximum '\n",
      "          'Shift\",\"value\":0.0625,\"default\":0.0625,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Range Of Shift Factor For Height And '\n",
      "          'Width\"},\"min_scale\":{\"name\":\"Minimum '\n",
      "          'Scale\",\"value\":-0.1,\"default\":-0.1,\"min\":-2,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"max_scale\":{\"name\":\"Maximum '\n",
      "          'Scale\",\"value\":0.1,\"default\":0.1,\"min\":-2,\"max\":2,\"tooltip\":\"Maximum '\n",
      "          'Range Of Size Of The Origin Size '\n",
      "          'Cropped\"},\"min_rotation\":{\"name\":\"Minimum '\n",
      "          'Rotation\",\"value\":-45,\"default\":-45,\"min\":-360,\"max\":360,\"tooltip\":\"Minimum '\n",
      "          'Rotation Angle\"},\"max_rotation\":{\"name\":\"Maximum '\n",
      "          'Rotation\",\"value\":45,\"default\":45,\"min\":-360,\"max\":360,\"tooltip\":\"Maximum '\n",
      "          'Rotation Angle\"}}}}}},\"color_transforms\":{\"name\":\"Color Space '\n",
      "          'Augmentations\",\"args\":{\"channel_dropout\":{\"name\":\"Channel '\n",
      "          'Dropout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"min_channel_dropout_range\":{\"name\":\"Min Channel '\n",
      "          'Dropout '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Channel Dropout Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"max_channel_dropout_range\":{\"name\":\"Max Channel '\n",
      "          'Dropout '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":2,\"tooltip\":\"Maximum '\n",
      "          'Channel Dropout Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"fill_value\":{\"name\":\"Fill '\n",
      "          'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "          'Value For The Dropped '\n",
      "          'Channel\"}}}},\"channel_shuffle\":{\"name\":\"Channel '\n",
      "          'Shuffle\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"CLAHE\":{\"name\":\"CLAHE\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_clip_limit\":{\"name\":\"Min Clip '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "          'Threshold Value For Contrast '\n",
      "          'Limiting\"},\"max_clip_limit\":{\"name\":\"Max Clip '\n",
      "          'Limit\",\"value\":4,\"default\":4,\"min\":1,\"max\":100,\"tooltip\":\"Upper '\n",
      "          'Threshold Value For Contrast '\n",
      "          'Limiting\"},\"min_tile_grid_size\":{\"name\":\"Min Grid '\n",
      "          'Limit\",\"value\":8,\"default\":8,\"min\":1,\"max\":99,\"tooltip\":\"Lower '\n",
      "          'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
      "          'Equalization\"},\"max_tile_grid_size\":{\"name\":\"Max Grid '\n",
      "          'Limit\",\"value\":8,\"default\":8,\"min\":1,\"max\":99,\"tooltip\":\"Upper '\n",
      "          'Threshold Value For Percentage (1%-99%) Size Of Grid For Histogram '\n",
      "          'Equalization\"}}}},\"color_jitter\":{\"name\":\"Color '\n",
      "          'Jitter\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"min_brightness\":{\"name\":\"Min '\n",
      "          'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Brightness\"},\"max_brightness\":{\"name\":\"Max '\n",
      "          'Brightness\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Brightness\"},\"min_contrast\":{\"name\":\"Min '\n",
      "          'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter Contrast\"},\"max_contrast\":{\"name\":\"Max '\n",
      "          'Contrast\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Contrast\"},\"min_saturation\":{\"name\":\"Min '\n",
      "          'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Saturation\"},\"max_saturation\":{\"name\":\"Max '\n",
      "          'Saturation\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter Saturation\"},\"min_hue\":{\"name\":\"Min '\n",
      "          'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Minimum '\n",
      "          'Limit Of How Much To Jitter Hue\"},\"max_hue\":{\"name\":\"Max '\n",
      "          'Hue\",\"value\":0.2,\"default\":0.2,\"min\":-0.5,\"max\":0.5,\"tooltip\":\"Maximum '\n",
      "          'Limit Of How Much To Jitter '\n",
      "          'Hue\"}}}},\"cutout\":{\"name\":\"Cutout\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"num_holes\":{\"name\":\"Number Of '\n",
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      "          'Value\",\"value\":0,\"default\":0,\"min\":0,\"max\":255,\"tooltip\":\"Pixel '\n",
      "          'Value For The Dropped '\n",
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      "          'Augmentation\"}}}},\"fancy_pca\":{\"name\":\"FancyPCA\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"alpha\":{\"name\":\"Alpha\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"How '\n",
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      "          'Values\"}}}},\"gaussian_blur\":{\"name\":\"Gaussian '\n",
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      "          'Variance Range For Noise\"},\"max_var\":{\"name\":\"Max Variance '\n",
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      "          'Variance Range For '\n",
      "          'Noise\"},\"mean\":{\"name\":\"Mean\",\"value\":0,\"default\":0,\"min\":-100,\"max\":100,\"tooltip\":\"Mean '\n",
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      "          'Augmentation\"},\"sigma\":{\"name\":\"Sigma\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":3,\"tooltip\":\"Standard '\n",
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      "          'Delta\",\"value\":4,\"default\":4,\"min\":1,\"max\":10,\"tooltip\":\"Max '\n",
      "          'Distance Between Pixels Which Are '\n",
      "          'Swapped\"},\"iterations\":{\"name\":\"Iterations\",\"value\":2,\"default\":2,\"min\":1,\"max\":10,\"tooltip\":\"Number '\n",
      "          'Of '\n",
      "          'Repeats\"}}}},\"random_rgb_to_gray\":{\"name\":\"Grayscale\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"}}}},\"hue_sat_val\":{\"name\":\"Hue '\n",
      "          'Saturation '\n",
      "          'Value\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Hue Shift Range Limit\"},\"max_hue_shift\":{\"name\":\"Max Hue '\n",
      "          'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Hue Shift Range Limit\"},\"min_sat_shift\":{\"name\":\"Min Saturation '\n",
      "          'Shift\",\"value\":-30,\"default\":-30,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Saturation Shift Range Limit\"},\"max_sat_shift\":{\"name\":\"Max '\n",
      "          'Saturation '\n",
      "          'Shift\",\"value\":30,\"default\":30,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Saturation Shift Range Limit\"},\"min_val_shift\":{\"name\":\"Min Value '\n",
      "          'Shift\",\"value\":-20,\"default\":-20,\"min\":-100,\"max\":100,\"tooltip\":\"Minimum '\n",
      "          'Value Shift Range Limit\"},\"max_val_shift\":{\"name\":\"Max Value '\n",
      "          'Shift\",\"value\":20,\"default\":20,\"min\":-100,\"max\":100,\"tooltip\":\"Maximum '\n",
      "          'Value Shift Range Limit\"}}}},\"image_compression\":{\"name\":\"Image '\n",
      "          'Compression\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"quality_lower\":{\"name\":\"Lower '\n",
      "          'Quality '\n",
      "          'Limit\",\"value\":80,\"default\":80,\"min\":1,\"max\":100,\"tooltip\":\"Lower '\n",
      "          'Bound On The Image Quality\"},\"quality_upper\":{\"name\":\"Upper Quality '\n",
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      "          'Bound On The Image Quality\"}}}},\"iso_noise\":{\"name\":\"ISO '\n",
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      "          'of Applying This Augmentation\"},\"min_color_shift\":{\"name\":\"Min '\n",
      "          'Color '\n",
      "          'Shift\",\"value\":0.01,\"default\":0.01,\"min\":0,\"max\":1,\"tooltip\":\"Minimum '\n",
      "          'Variance Range For Color Hue '\n",
      "          'Change\"},\"max_color_shift\":{\"name\":\"Max Color '\n",
      "          'Shift\",\"value\":0.05,\"default\":0.05,\"min\":0,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Variance Range For Color Hue Change\"},\"min_intensity\":{\"name\":\"Min '\n",
      "          'Intensity\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":2,\"tooltip\":\"Minimum '\n",
      "          'Strength Of Color And Luminace Noise\"},\"max_intensity\":{\"name\":\"Max '\n",
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      "          'Strength Of Color And Luminace '\n",
      "          'Noise\"}}}},\"median_blur\":{\"name\":\"Median '\n",
      "          'Blur\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Aperture Linear Size For Blurring Input '\n",
      "          'Image\"}}}},\"motion_blur\":{\"name\":\"Motion '\n",
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      "          'Kernel Size For Blurring Input '\n",
      "          'Image\"}}}},\"multiplicative_noise\":{\"name\":\"Multiplicative '\n",
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      "          'Multiplication '\n",
      "          'Limit\",\"value\":0.9,\"default\":0.9,\"min\":0.1,\"max\":5,\"tooltip\":\"Minimum '\n",
      "          'Random Number To Multiple With Input '\n",
      "          'Image\"},\"max_multi\":{\"name\":\"Max Multiplication '\n",
      "          'Limit\",\"value\":1.1,\"default\":1.1,\"min\":0.1,\"max\":5,\"tooltip\":\"Maximum '\n",
      "          'Random Number To Multiple With Input '\n",
      "          'Image\"}}}},\"posterize\":{\"name\":\"Posterize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Bits For Red Channel\"},\"g_bits\":{\"name\":\"G Channel Number Of '\n",
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      "          'Bits For Green Channel\"},\"b_bits\":{\"name\":\"B Channel Number Of '\n",
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      "          'Bits For Blue Channel\"}}}},\"random_blur\":{\"name\":\"Random '\n",
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      "          'Blur Limit That Should Be Used For This '\n",
      "          'Augmentation\"},\"max_blur_limit\":{\"name\":\"Max Blur '\n",
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      "          'Blur Limit That Should Be Used For This '\n",
      "          'Augmentation\"}}}},\"random_brightness\":{\"name\":\"Random '\n",
      "          'Brightness\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
      "          'Factor Range For Changing '\n",
      "          'Brightness\"}}}},\"random_brightness_contrast\":{\"name\":\"Random '\n",
      "          'Brightness '\n",
      "          'Contrast\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Brightness '\n",
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      "          'Factor Range For Changing '\n",
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      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":-1,\"max\":1,\"tooltip\":\"Maximum '\n",
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      "          'Brightness\"},\"min_contrast_limit\":{\"name\":\"Min Contrast '\n",
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      "          'Factor Range For Changing '\n",
      "          'Contrast\"}}}},\"random_contrast\":{\"name\":\"Random '\n",
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      "          'Factor Range For Changing '\n",
      "          'Contrast\"}}}},\"random_fog\":{\"name\":\"Random '\n",
      "          'Fog\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Coefficient '\n",
      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "          'Limit For Fog Intensity '\n",
      "          'Coefficient\"},\"fog_coef_upper\":{\"name\":\"Upper Coefficient '\n",
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      "          'Limit For Fog Intensity Coefficient\"},\"alpha_coef\":{\"name\":\"Alpha '\n",
      "          'Coefficient '\n",
      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Transparency '\n",
      "          'Of Fog Circles\"}}}},\"random_gamma\":{\"name\":\"Random '\n",
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      "          'Gamma '\n",
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      "          'Limit For Gamma Range\"},\"max_gamma_limit\":{\"name\":\"Max Gamma '\n",
      "          'Limit\",\"value\":120,\"default\":120,\"min\":0,\"max\":200,\"tooltip\":\"Maximum '\n",
      "          'Limit For Gamma Range\"}}}},\"random_rain\":{\"name\":\"Random '\n",
      "          'Rain\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Slant\",\"value\":-10,\"default\":-10,\"min\":-20,\"max\":20,\"tooltip\":\"Lower '\n",
      "          'Slant Of Rain Droplet\"},\"slant_upper\":{\"name\":\"Upper '\n",
      "          'Slant\",\"value\":10,\"default\":10,\"min\":-20,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Slant Of Rain Droplet\"},\"drop_length\":{\"name\":\"Drop '\n",
      "          'Length\",\"value\":20,\"default\":20,\"min\":0,\"max\":100,\"tooltip\":\"Length '\n",
      "          'Of Rain Droplet\"},\"drop_width\":{\"name\":\"Drop '\n",
      "          'Width\",\"value\":1,\"default\":1,\"min\":1,\"max\":5,\"tooltip\":\"Width Of '\n",
      "          'Rain Droplet\"},\"drop_color_red\":{\"name\":\"Drop Color '\n",
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      "          'Channel Rain Droplet\"},\"drop_color_blue\":{\"name\":\"Drop Color '\n",
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      "          'Channel Rain Droplet\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "          'Coefficient\",\"value\":0.7,\"default\":0.7,\"min\":0,\"max\":1,\"tooltip\":\"Brightness '\n",
      "          'Coefficient Factor For Rain '\n",
      "          'Droplet\"}}}},\"random_shadow\":{\"name\":\"Random '\n",
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      "          'Axis Of Image Where Shadows Will '\n",
      "          'Appear\"},\"num_shadows_lower\":{\"name\":\"Number Of Shadows Lower '\n",
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      "          'Limit For Possible Number Of '\n",
      "          'Shadows\"},\"num_shadows_upper\":{\"name\":\"Number Of Shadows Upper '\n",
      "          'Limit\",\"value\":5,\"default\":5,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Limit For Possible Number Of '\n",
      "          'Shadows\"},\"shadow_dimension\":{\"name\":\"Number Of '\n",
      "          'Edges\",\"value\":5,\"default\":5,\"min\":3,\"max\":20,\"tooltip\":\"Number Of '\n",
      "          'Edges In Shadow Polygons\"}}}},\"random_snow\":{\"name\":\"Random '\n",
      "          'Snow\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Limit\",\"value\":0.1,\"default\":0.1,\"min\":0,\"max\":1,\"tooltip\":\"Lower '\n",
      "          'Limit Of The Amount Of Snow\"},\"snow_point_upper\":{\"name\":\"Upper '\n",
      "          'Snow '\n",
      "          'Limit\",\"value\":0.2,\"default\":0.2,\"min\":0,\"max\":1,\"tooltip\":\"Upper '\n",
      "          'Limit Of The Amount Of '\n",
      "          'Snow\"},\"brightness_coefficient\":{\"name\":\"Brightness '\n",
      "          'Coefficient\",\"value\":2.5,\"default\":2.5,\"min\":0,\"max\":5,\"tooltip\":\"Brightness '\n",
      "          'Coefficient Factor For Snow\"}}}},\"random_sunflare\":{\"name\":\"Random '\n",
      "          'Sun '\n",
      "          'Flare\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
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      "          'Axis Of Image Where Flares Will '\n",
      "          'Appear\"},\"angle_lower\":{\"name\":\"Angle Lower '\n",
      "          'Limit\",\"value\":0,\"default\":0,\"min\":0,\"max\":1,\"tooltip\":\"Lower Limit '\n",
      "          'For Flares Angle\"},\"angle_upper\":{\"name\":\"Angle Upper '\n",
      "          'Limit\",\"value\":1,\"default\":1,\"min\":0,\"max\":1,\"tooltip\":\"Upper Limit '\n",
      "          'For Flares Angle\"},\"num_flare_circles_lower\":{\"name\":\"Number Of '\n",
      "          'Flares Lower '\n",
      "          'Limit\",\"value\":6,\"default\":6,\"min\":0,\"max\":20,\"tooltip\":\"Lower '\n",
      "          'Limit For Possible Number Of '\n",
      "          'Flares\"},\"num_flare_circles_upper\":{\"name\":\"Number Of Flares Upper '\n",
      "          'Limit\",\"value\":10,\"default\":10,\"min\":0,\"max\":20,\"tooltip\":\"Upper '\n",
      "          'Limit For Possible Number Of Flares\"}}}},\"rgb_shift\":{\"name\":\"RGB '\n",
      "          'Shift\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This Augmentation\"},\"lower_r_shift_limit\":{\"name\":\"R '\n",
      "          'Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Red '\n",
      "          'Channel\"},\"upper_r_shift_limit\":{\"name\":\"R Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Red '\n",
      "          'Channel\"},\"lower_g_shift_limit\":{\"name\":\"G Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Green '\n",
      "          'Channel\"},\"upper_g_shift_limit\":{\"name\":\"G Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Green '\n",
      "          'Channel\"},\"lower_b_shift_limit\":{\"name\":\"B Channel Shift Lower '\n",
      "          'Limit\",\"value\":-20,\"default\":-20,\"min\":-255,\"max\":255,\"tooltip\":\"Lower '\n",
      "          'Limit For Changing Values For Blue '\n",
      "          'Channel\"},\"upper_b_shift_limit\":{\"name\":\"B Channel Shift Upper '\n",
      "          'Limit\",\"value\":20,\"default\":20,\"min\":-255,\"max\":255,\"tooltip\":\"Upper '\n",
      "          'Limit For Changing Values For Blue '\n",
      "          'Channel\"}}}},\"sepia\":{\"name\":\"Sepia\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"}}}},\"solarize\":{\"name\":\"Solarize\",\"type\":\"augmentation\",\"value\":{},\"default\":{\"enabled\":false,\"args\":{\"probability\":{\"name\":\"Probability\",\"value\":0.5,\"default\":0.5,\"min\":0,\"max\":1,\"tooltip\":\"Probability '\n",
      "          'of Applying This '\n",
      "          'Augmentation\"},\"threshold\":{\"name\":\"Threshold\",\"value\":128,\"default\":128,\"min\":0,\"max\":255,\"tooltip\":\"Invert '\n",
      "          'All Pixel Values Above A '\n",
      "          'Threshold\"}}}}}}}}},\"position\":{\"x\":450,\"y\":345},\"__rf\":{\"position\":{\"x\":450,\"y\":345},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":[{\"id\":null,\"position\":\"bottom\",\"x\":125,\"y\":83,\"width\":10,\"height\":10}],\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false},\"style\":{\"boxShadow\":\"none\",\"WebkitBoxShadow\":\"none\",\"MozBoxShadow\":\"none\"}},{\"id\":\"1676365876032\",\"type\":\"fasterrcnn-inceptionv2-1024x1024\",\"basetype\":\"model\",\"data\":{\"schema\":{\"title\":\"FasterRCNN '\n",
      "          'InceptionV2 '\n",
      "          '1024x1024\",\"tag\":\"fasterrcnn-inceptionv2-1024x1024\",\"hasSource\":true,\"hasDestination\":false,\"subtitle\":{\"targetparam\":\"training\",\"targetarg\":\"batchsize\",\"template\":\"%% '\n",
      "          'Images per Batch\"},\"parameters\":{\"training\":{\"name\":\"Training '\n",
      "          'Parameters\",\"args\":{\"batchsize\":{\"name\":\"Batch '\n",
      "          'Size\",\"type\":\"number\",\"value\":2,\"default\":2},\"epochs\":{\"name\":\"Training '\n",
      "          'Epochs\",\"type\":\"number\",\"value\":1000,\"default\":1000}}},\"pipeline\":{\"name\":\"Model '\n",
      "          'Configurations\",\"args\":{\"max_detection_per_class\":{\"name\":\"Max '\n",
      "          'Detections Per '\n",
      "          'Class\",\"type\":\"number\",\"value\":30,\"default\":30}}}}}},\"position\":{\"x\":450,\"y\":555},\"__rf\":{\"position\":{\"x\":450,\"y\":555},\"width\":260,\"height\":88,\"handleBounds\":{\"source\":null,\"target\":[{\"id\":null,\"position\":\"top\",\"x\":125,\"y\":-5,\"width\":10,\"height\":10}]},\"isDragging\":false}},{\"source\":\"1676365876014\",\"target\":\"1676365876027\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676365876014undefined-1676365876027undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"},{\"source\":\"1676365876027\",\"target\":\"1676365876032\",\"animated\":true,\"arrowHeadType\":\"arrow\",\"id\":\"reactflow__edge-1676365876027undefined-1676365876032undefined\",\"sourceHandle\":null,\"targetHandle\":null,\"type\":\"default\"}]',\n",
      " 'title': 'My awesome workflow'}\n"
     ]
    }
   ],
   "source": [
    "# Modify the properties of the workflow\n",
    "workflow_modify_response = datature.Workflow.modify(\n",
    "    \"flow_63eb50320915a2159bf5442b\",\n",
    "    {\"title\": \"My awesome workflow\"}\n",
    ")\n",
    "# Display response for the modification of workflow operation\n",
    "pprint.pprint(workflow_modify_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad6496f3",
   "metadata": {},
   "source": [
    "## 9.4. Delete A Workflow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71016c72",
   "metadata": {},
   "source": [
    "Delete a workflow based on the specified workflow id."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "60a8d6b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True, 'id': 'flow_63eb50320915a2159bf5442b'}\n"
     ]
    }
   ],
   "source": [
    "# Delete workflow based on specified workflow id\n",
    "workflow_delete_response = datature.Workflow.delete(\n",
    "    \"flow_63eb50320915a2159bf5442b\"\n",
    ")\n",
    "# Display response for the deletion of the workflow operation\n",
    "pprint.pprint(workflow_delete_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5462d3d",
   "metadata": {},
   "source": [
    "# 10. Training API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "719bdbc1",
   "metadata": {},
   "source": [
    "This section describes all the operations with regards to the training run. The training run executes the training based on the selected workflow specified."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "551c1e8a",
   "metadata": {},
   "source": [
    "## 10.1. Create A Training Run"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f771a9a",
   "metadata": {},
   "source": [
    "Create a training run based on the specified configuration. For more information about how to configure the training run, please refer to the developer's documentation itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0fca75a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "               'checkpoint': {'evaluation_interval': 250,\n",
      "                              'metric': 'Loss/total_loss',\n",
      "                              'strategy': 'STRAT_LOWEST_VALIDATION_LOSS'}},\n",
      " 'features': {'preview': True},\n",
      " 'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      " 'id': 'run_63eb5410e3cc5b966339344f',\n",
      " 'logs': ['log_63eb5410e3cc5b966339344f'],\n",
      " 'object': 'run',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                            'status': 'running'}]}}\n"
     ]
    }
   ],
   "source": [
    "# Start a training run based on the specified workflow id and configurations\n",
    "run_start_response = datature.Run.start(\n",
    "    \"flow_63eb229abec73541a7b37280\",\n",
    "    {\n",
    "        \"accelerator\": {\n",
    "            \"name\": \"GPU_T4\",\n",
    "            \"count\": 1\n",
    "        },\n",
    "        \"checkpoint\": {\n",
    "            \"strategy\": \"STRAT_LOWEST_VALIDATION_LOSS\",\n",
    "                        \"evaluation_interval\": 250,\n",
    "                        \"metric\": \"Loss/total_loss\"\n",
    "        },\n",
    "        \"limit\": {\n",
    "            \"metric\": \"LIM_MINUTE\",\n",
    "            \"value\": 260\n",
    "        },\n",
    "        \"debug\": True,\n",
    "        \"preview\": True\n",
    "    }\n",
    ")\n",
    "# Display response of the creation of training run operation\n",
    "pprint.pprint(run_start_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c7c8f48",
   "metadata": {},
   "source": [
    "## 10.2. List All Training Runs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0b4dcad",
   "metadata": {},
   "source": [
    "List all trainings runs in the project. This will include the metadata related to the training run. Do note that the information of the workflow that is used in the training run will not be dispayed and will require the use of the `workflow` API itself to retrieve the information related to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ea953a2f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "                'checkpoint': {'evaluation_interval': 250,\n",
      "                               'metric': 'Loss/total_loss',\n",
      "                               'strategy': 'STRAT_LOWEST_VALIDATION_LOSS'}},\n",
      "  'features': {'preview': True},\n",
      "  'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      "  'id': 'run_63eb5410e3cc5b966339344f',\n",
      "  'logs': ['log_63eb5410e3cc5b966339344f'],\n",
      "  'object': 'run',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                             'status': 'running'}]}},\n",
      " {'create_date': 1676361363944,\n",
      "  'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "                'checkpoint': {'evaluation_interval': 250,\n",
      "                               'metric': 'STRAT_ALWAYS_SAVE_LATEST',\n",
      "                               'strategy': 'STRAT_ALWAYS_SAVE_LATEST'}},\n",
      "  'features': {'preview': True},\n",
      "  'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      "  'id': 'run_63eb3dfdf45218f93dbb34a4',\n",
      "  'last_modified_date': 1676361994586,\n",
      "  'logs': ['log_63eb3dfdf45218f93dbb34a4'],\n",
      "  'object': 'run',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                             'last_updated': 1676361363944,\n",
      "                             'status': 'finished'},\n",
      "                            {'condition': 'TrainingFinished',\n",
      "                             'last_updated': 1676361994586,\n",
      "                             'reason': 'Killed',\n",
      "                             'status': 'errored'}],\n",
      "             'last_updated': 1676361994586}},\n",
      " {'create_date': 1676360993059,\n",
      "  'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "                'checkpoint': {'evaluation_interval': 250,\n",
      "                               'metric': 'Loss/total_loss',\n",
      "                               'strategy': 'STRAT_LOWEST_VALIDATION_LOSS'}},\n",
      "  'features': {'preview': True},\n",
      "  'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      "  'id': 'run_63eb3c7a16691c3269fac8ec',\n",
      "  'last_modified_date': 1676361186145,\n",
      "  'logs': ['log_63eb3c7a16691c3269fac8ec'],\n",
      "  'object': 'run',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                             'last_updated': 1676360993059,\n",
      "                             'status': 'finished'},\n",
      "                            {'condition': 'TrainingFinished',\n",
      "                             'last_updated': 1676361186145,\n",
      "                             'reason': 'Killed',\n",
      "                             'status': 'errored'}],\n",
      "             'last_updated': 1676361186145}},\n",
      " {'create_date': 1676354398180,\n",
      "  'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "                'checkpoint': {'evaluation_interval': 100,\n",
      "                               'metric': 'STRAT_ALWAYS_SAVE_LATEST',\n",
      "                               'strategy': 'STRAT_ALWAYS_SAVE_LATEST'}},\n",
      "  'features': {'preview': True},\n",
      "  'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      "  'id': 'run_63eb22b7bec73541a7b3728f',\n",
      "  'last_modified_date': 1676355807836,\n",
      "  'logs': ['log_63eb22b7bec73541a7b3728f'],\n",
      "  'object': 'run',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                             'last_updated': 1676354398180,\n",
      "                             'status': 'finished'},\n",
      "                            {'condition': 'TrainingFinished',\n",
      "                             'last_updated': 1676355807836,\n",
      "                             'status': 'finished'}],\n",
      "             'last_updated': 1676355807836}}]\n"
     ]
    }
   ],
   "source": [
    "# List all training runs in the project\n",
    "run_list_response = datature.Run.list()\n",
    "# Display response for listing all the training runs operation\n",
    "pprint.pprint(run_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40bd5f14",
   "metadata": {},
   "source": [
    "## 10.3. Retrieve A Training Log"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e009725",
   "metadata": {},
   "source": [
    "Retrieves a training log based on the specified training log id. The log id related to the training run can be retrieved from retrieving the information about the training run itself. Retrieval of training run information can be found [here](#10.4.-Retrieve-A-Training-Run). The log details information like the loss and metrics of training run itself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8d2373dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'events': [{'ev': 'trainingStarted', 't': 1676354490},\n",
      "            {'ev': 'evaluationCheckpoint',\n",
      "             'pl': {'average_precision': 8.8e-05,\n",
      "                    'average_precision.50_iou': 0.000439,\n",
      "                    'average_precision.75_iou': 0,\n",
      "                    'average_recall1': 0.00098,\n",
      "                    'average_recall10': 0.003137,\n",
      "                    'average_recall100': 0.005294,\n",
      "                    'classification_loss': 0.784523,\n",
      "                    'large_average_precision': 0.000188,\n",
      "                    'large_average_recall100': 0.016993,\n",
      "                    'localization_loss': 0.00926,\n",
      "                    'log': 'Loading and preparing annotation results...\\n'\n",
      "                           'INFO:tensorflow:Eval metrics at step 0\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP: '\n",
      "                           '0.000088\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.50IOU: 0.000439\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.75IOU: 0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(small): 0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(medium): 0.000017\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(large): 0.000188\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@1: '\n",
      "                           '0.000980\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@10: '\n",
      "                           '0.003137\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100: '\n",
      "                           '0.005294\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(small): 0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(medium): 0.001299\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(large): 0.016993\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnLocalization_loss: '\n",
      "                           '0.252264\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnObjectness_loss: '\n",
      "                           '0.698408\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/localization_loss: '\n",
      "                           '0.009260\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/classification_loss: '\n",
      "                           '0.784523\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/regularization_loss: '\n",
      "                           '0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/total_loss: 1.744455\\n'\n",
      "                           'INFO:tensorflow:Waiting for new checkpoint at '\n",
      "                           '***\\n',\n",
      "                    'medium_average_precision': 1.7e-05,\n",
      "                    'medium_average_recall100': 0.001299,\n",
      "                    'regularization_loss': 0,\n",
      "                    'rpn_localization_loss': 0.252264,\n",
      "                    'rpn_objectness_loss': 0.698408,\n",
      "                    'small_average_precision': 0,\n",
      "                    'small_average_recall100': 0,\n",
      "                    'step': 0,\n",
      "                    'total_loss': 1.744455},\n",
      "             't': 1676354888},\n",
      "            {'ev': 'artifactAuthorized',\n",
      "             'pl': {'artifact_id': '63eb2548b03587e371e77bea',\n",
      "                    'name': 'ckpt-1'},\n",
      "             't': 1676354888},\n",
      "            {'ev': 'artifactUploaded',\n",
      "             'pl': {'artifact_id': '63eb2548b03587e371e77bea',\n",
      "                    'files': [{'md5': '832cc3488eee29f21794a17a503eed09',\n",
      "                               'name': 'ckpt-1.index'},\n",
      "                              {'md5': 'acce8cdac80ea96af1b1a81247333578',\n",
      "                               'name': 'ckpt-1.data-00000-of-00001'}]},\n",
      "             't': 1676354894},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.723,\n",
      "                    'localization_loss': 0.091,\n",
      "                    'log': 'INFO:tensorflow:Step 1 per-step time 187.710s '\n",
      "                           'total_loss=1.555, classification_loss=0.723, '\n",
      "                           'localization_loss=0.091, rpnObjectness_loss=0.699, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.699,\n",
      "                    'step': 1,\n",
      "                    'total_loss': 1.555},\n",
      "             't': 1676354939},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.634,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 2 per-step time 1.604s '\n",
      "                           'total_loss=1.384, classification_loss=0.634, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.700, '\n",
      "                           'rpnLocalization_loss=0.051, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.051,\n",
      "                    'rpn_objectness_loss': 0.7,\n",
      "                    'step': 2,\n",
      "                    'total_loss': 1.384},\n",
      "             't': 1676354940},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.569,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 3 per-step time 1.613s '\n",
      "                           'total_loss=1.347, classification_loss=0.569, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.699, '\n",
      "                           'rpnLocalization_loss=0.079, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.079,\n",
      "                    'rpn_objectness_loss': 0.699,\n",
      "                    'step': 3,\n",
      "                    'total_loss': 1.347},\n",
      "             't': 1676354942},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.484,\n",
      "                    'localization_loss': 0.081,\n",
      "                    'log': 'INFO:tensorflow:Step 4 per-step time 1.623s '\n",
      "                           'total_loss=1.418, classification_loss=0.484, '\n",
      "                           'localization_loss=0.081, rpnObjectness_loss=0.698, '\n",
      "                           'rpnLocalization_loss=0.155, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.155,\n",
      "                    'rpn_objectness_loss': 0.698,\n",
      "                    'step': 4,\n",
      "                    'total_loss': 1.418},\n",
      "             't': 1676354944},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.24,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 5 per-step time 1.622s '\n",
      "                           'total_loss=1.021, classification_loss=0.240, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.699, '\n",
      "                           'rpnLocalization_loss=0.082, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.082,\n",
      "                    'rpn_objectness_loss': 0.699,\n",
      "                    'step': 5,\n",
      "                    'total_loss': 1.021},\n",
      "             't': 1676354945},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.11,\n",
      "                    'localization_loss': 0.028,\n",
      "                    'log': 'INFO:tensorflow:Step 6 per-step time 1.628s '\n",
      "                           'total_loss=0.852, classification_loss=0.110, '\n",
      "                           'localization_loss=0.028, rpnObjectness_loss=0.694, '\n",
      "                           'rpnLocalization_loss=0.019, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.019,\n",
      "                    'rpn_objectness_loss': 0.694,\n",
      "                    'step': 6,\n",
      "                    'total_loss': 0.852},\n",
      "             't': 1676354947},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.048,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 7 per-step time 1.627s '\n",
      "                           'total_loss=0.793, classification_loss=0.048, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.693, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.693,\n",
      "                    'step': 7,\n",
      "                    'total_loss': 0.793},\n",
      "             't': 1676354948},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.122,\n",
      "                    'localization_loss': 0.27,\n",
      "                    'log': 'INFO:tensorflow:Step 8 per-step time 1.634s '\n",
      "                           'total_loss=1.899, classification_loss=0.122, '\n",
      "                           'localization_loss=0.270, rpnObjectness_loss=0.689, '\n",
      "                           'rpnLocalization_loss=0.817, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.817,\n",
      "                    'rpn_objectness_loss': 0.689,\n",
      "                    'step': 8,\n",
      "                    'total_loss': 1.899},\n",
      "             't': 1676354950},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.024,\n",
      "                    'localization_loss': 0.079,\n",
      "                    'log': 'INFO:tensorflow:Step 9 per-step time 1.641s '\n",
      "                           'total_loss=1.942, classification_loss=0.024, '\n",
      "                           'localization_loss=0.079, rpnObjectness_loss=0.685, '\n",
      "                           'rpnLocalization_loss=1.155, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 1.155,\n",
      "                    'rpn_objectness_loss': 0.685,\n",
      "                    'step': 9,\n",
      "                    'total_loss': 1.942},\n",
      "             't': 1676354952},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.001,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 10 per-step time 1.648s '\n",
      "                           'total_loss=1.163, classification_loss=0.001, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.679, '\n",
      "                           'rpnLocalization_loss=0.484, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.484,\n",
      "                    'rpn_objectness_loss': 0.679,\n",
      "                    'step': 10,\n",
      "                    'total_loss': 1.163},\n",
      "             't': 1676354953},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.004,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 11 per-step time 1.647s '\n",
      "                           'total_loss=0.708, classification_loss=0.004, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.671, '\n",
      "                           'rpnLocalization_loss=0.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.033,\n",
      "                    'rpn_objectness_loss': 0.671,\n",
      "                    'step': 11,\n",
      "                    'total_loss': 0.708},\n",
      "             't': 1676354955},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.194,\n",
      "                    'localization_loss': 0.273,\n",
      "                    'log': 'INFO:tensorflow:Step 12 per-step time 1.641s '\n",
      "                           'total_loss=1.147, classification_loss=0.194, '\n",
      "                           'localization_loss=0.273, rpnObjectness_loss=0.659, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.659,\n",
      "                    'step': 12,\n",
      "                    'total_loss': 1.147},\n",
      "             't': 1676354957},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.142,\n",
      "                    'localization_loss': 0.115,\n",
      "                    'log': 'INFO:tensorflow:Step 13 per-step time 1.640s '\n",
      "                           'total_loss=0.942, classification_loss=0.142, '\n",
      "                           'localization_loss=0.115, rpnObjectness_loss=0.653, '\n",
      "                           'rpnLocalization_loss=0.032, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.032,\n",
      "                    'rpn_objectness_loss': 0.653,\n",
      "                    'step': 13,\n",
      "                    'total_loss': 0.942},\n",
      "             't': 1676354958},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.16,\n",
      "                    'localization_loss': 0.139,\n",
      "                    'log': 'INFO:tensorflow:Step 14 per-step time 1.641s '\n",
      "                           'total_loss=0.986, classification_loss=0.160, '\n",
      "                           'localization_loss=0.139, rpnObjectness_loss=0.637, '\n",
      "                           'rpnLocalization_loss=0.049, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.049,\n",
      "                    'rpn_objectness_loss': 0.637,\n",
      "                    'step': 14,\n",
      "                    'total_loss': 0.986},\n",
      "             't': 1676354960},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.089,\n",
      "                    'localization_loss': 0.076,\n",
      "                    'log': 'INFO:tensorflow:Step 15 per-step time 1.642s '\n",
      "                           'total_loss=0.839, classification_loss=0.089, '\n",
      "                           'localization_loss=0.076, rpnObjectness_loss=0.625, '\n",
      "                           'rpnLocalization_loss=0.048, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.048,\n",
      "                    'rpn_objectness_loss': 0.625,\n",
      "                    'step': 15,\n",
      "                    'total_loss': 0.839},\n",
      "             't': 1676354962},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.155,\n",
      "                    'localization_loss': 0.376,\n",
      "                    'log': 'INFO:tensorflow:Step 16 per-step time 1.636s '\n",
      "                           'total_loss=1.240, classification_loss=0.155, '\n",
      "                           'localization_loss=0.376, rpnObjectness_loss=0.607, '\n",
      "                           'rpnLocalization_loss=0.102, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.102,\n",
      "                    'rpn_objectness_loss': 0.607,\n",
      "                    'step': 16,\n",
      "                    'total_loss': 1.24},\n",
      "             't': 1676354963},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.12,\n",
      "                    'localization_loss': 0.351,\n",
      "                    'log': 'INFO:tensorflow:Step 17 per-step time 1.625s '\n",
      "                           'total_loss=1.081, classification_loss=0.120, '\n",
      "                           'localization_loss=0.351, rpnObjectness_loss=0.589, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.589,\n",
      "                    'step': 17,\n",
      "                    'total_loss': 1.081},\n",
      "             't': 1676354965},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.092,\n",
      "                    'localization_loss': 0.41,\n",
      "                    'log': 'INFO:tensorflow:Step 18 per-step time 1.623s '\n",
      "                           'total_loss=1.196, classification_loss=0.092, '\n",
      "                           'localization_loss=0.410, rpnObjectness_loss=0.574, '\n",
      "                           'rpnLocalization_loss=0.119, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.119,\n",
      "                    'rpn_objectness_loss': 0.574,\n",
      "                    'step': 18,\n",
      "                    'total_loss': 1.196},\n",
      "             't': 1676354967},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.044,\n",
      "                    'localization_loss': 0.117,\n",
      "                    'log': 'INFO:tensorflow:Step 19 per-step time 1.628s '\n",
      "                           'total_loss=0.948, classification_loss=0.044, '\n",
      "                           'localization_loss=0.117, rpnObjectness_loss=0.546, '\n",
      "                           'rpnLocalization_loss=0.241, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.241,\n",
      "                    'rpn_objectness_loss': 0.546,\n",
      "                    'step': 19,\n",
      "                    'total_loss': 0.948},\n",
      "             't': 1676354968},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.229,\n",
      "                    'localization_loss': 1.773,\n",
      "                    'log': 'INFO:tensorflow:Step 20 per-step time 1.614s '\n",
      "                           'total_loss=2.538, classification_loss=0.229, '\n",
      "                           'localization_loss=1.773, rpnObjectness_loss=0.513, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.513,\n",
      "                    'step': 20,\n",
      "                    'total_loss': 2.538},\n",
      "             't': 1676354970},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.186,\n",
      "                    'localization_loss': 0.706,\n",
      "                    'log': 'INFO:tensorflow:Step 21 per-step time 1.614s '\n",
      "                           'total_loss=1.403, classification_loss=0.186, '\n",
      "                           'localization_loss=0.706, rpnObjectness_loss=0.450, '\n",
      "                           'rpnLocalization_loss=0.060, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.06,\n",
      "                    'rpn_objectness_loss': 0.45,\n",
      "                    'step': 21,\n",
      "                    'total_loss': 1.403},\n",
      "             't': 1676354971},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.18,\n",
      "                    'localization_loss': 0.544,\n",
      "                    'log': 'INFO:tensorflow:Step 22 per-step time 1.615s '\n",
      "                           'total_loss=1.263, classification_loss=0.180, '\n",
      "                           'localization_loss=0.544, rpnObjectness_loss=0.404, '\n",
      "                           'rpnLocalization_loss=0.135, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.135,\n",
      "                    'rpn_objectness_loss': 0.404,\n",
      "                    'step': 22,\n",
      "                    'total_loss': 1.263},\n",
      "             't': 1676354973},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.059,\n",
      "                    'localization_loss': 0.095,\n",
      "                    'log': 'INFO:tensorflow:Step 23 per-step time 1.612s '\n",
      "                           'total_loss=0.630, classification_loss=0.059, '\n",
      "                           'localization_loss=0.095, rpnObjectness_loss=0.328, '\n",
      "                           'rpnLocalization_loss=0.149, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.149,\n",
      "                    'rpn_objectness_loss': 0.328,\n",
      "                    'step': 23,\n",
      "                    'total_loss': 0.63},\n",
      "             't': 1676354975},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.087,\n",
      "                    'localization_loss': 0.242,\n",
      "                    'log': 'INFO:tensorflow:Step 24 per-step time 1.609s '\n",
      "                           'total_loss=0.549, classification_loss=0.087, '\n",
      "                           'localization_loss=0.242, rpnObjectness_loss=0.206, '\n",
      "                           'rpnLocalization_loss=0.014, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.014,\n",
      "                    'rpn_objectness_loss': 0.206,\n",
      "                    'step': 24,\n",
      "                    'total_loss': 0.549},\n",
      "             't': 1676354976},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.161,\n",
      "                    'localization_loss': 0.593,\n",
      "                    'log': 'INFO:tensorflow:Step 25 per-step time 1.596s '\n",
      "                           'total_loss=0.998, classification_loss=0.161, '\n",
      "                           'localization_loss=0.593, rpnObjectness_loss=0.156, '\n",
      "                           'rpnLocalization_loss=0.089, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.089,\n",
      "                    'rpn_objectness_loss': 0.156,\n",
      "                    'step': 25,\n",
      "                    'total_loss': 0.998},\n",
      "             't': 1676354978},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.505,\n",
      "                    'localization_loss': 0.23,\n",
      "                    'log': 'INFO:tensorflow:Step 26 per-step time 1.602s '\n",
      "                           'total_loss=0.797, classification_loss=0.505, '\n",
      "                           'localization_loss=0.230, rpnObjectness_loss=0.045, '\n",
      "                           'rpnLocalization_loss=0.017, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.017,\n",
      "                    'rpn_objectness_loss': 0.045,\n",
      "                    'step': 26,\n",
      "                    'total_loss': 0.797},\n",
      "             't': 1676354979},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.111,\n",
      "                    'localization_loss': 0.438,\n",
      "                    'log': 'INFO:tensorflow:Step 27 per-step time 1.599s '\n",
      "                           'total_loss=0.685, classification_loss=0.111, '\n",
      "                           'localization_loss=0.438, rpnObjectness_loss=0.059, '\n",
      "                           'rpnLocalization_loss=0.076, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.076,\n",
      "                    'rpn_objectness_loss': 0.059,\n",
      "                    'step': 27,\n",
      "                    'total_loss': 0.685},\n",
      "             't': 1676354981},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.255,\n",
      "                    'localization_loss': 0.836,\n",
      "                    'log': 'INFO:tensorflow:Step 28 per-step time 1.594s '\n",
      "                           'total_loss=1.169, classification_loss=0.255, '\n",
      "                           'localization_loss=0.836, rpnObjectness_loss=0.050, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.05,\n",
      "                    'step': 28,\n",
      "                    'total_loss': 1.169},\n",
      "             't': 1676354983},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.291,\n",
      "                    'localization_loss': 0.62,\n",
      "                    'log': 'INFO:tensorflow:Step 29 per-step time 1.587s '\n",
      "                           'total_loss=0.964, classification_loss=0.291, '\n",
      "                           'localization_loss=0.620, rpnObjectness_loss=0.028, '\n",
      "                           'rpnLocalization_loss=0.025, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.025,\n",
      "                    'rpn_objectness_loss': 0.028,\n",
      "                    'step': 29,\n",
      "                    'total_loss': 0.964},\n",
      "             't': 1676354984},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.326,\n",
      "                    'localization_loss': 0.782,\n",
      "                    'log': 'INFO:tensorflow:Step 30 per-step time 1.600s '\n",
      "                           'total_loss=1.403, classification_loss=0.326, '\n",
      "                           'localization_loss=0.782, rpnObjectness_loss=0.060, '\n",
      "                           'rpnLocalization_loss=0.235, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.235,\n",
      "                    'rpn_objectness_loss': 0.06,\n",
      "                    'step': 30,\n",
      "                    'total_loss': 1.403},\n",
      "             't': 1676354986},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.152,\n",
      "                    'localization_loss': 0.219,\n",
      "                    'log': 'INFO:tensorflow:Step 31 per-step time 1.584s '\n",
      "                           'total_loss=0.404, classification_loss=0.152, '\n",
      "                           'localization_loss=0.219, rpnObjectness_loss=0.022, '\n",
      "                           'rpnLocalization_loss=0.012, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.012,\n",
      "                    'rpn_objectness_loss': 0.022,\n",
      "                    'step': 31,\n",
      "                    'total_loss': 0.404},\n",
      "             't': 1676354987},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.228,\n",
      "                    'localization_loss': 0.328,\n",
      "                    'log': 'INFO:tensorflow:Step 32 per-step time 1.586s '\n",
      "                           'total_loss=0.709, classification_loss=0.228, '\n",
      "                           'localization_loss=0.328, rpnObjectness_loss=0.069, '\n",
      "                           'rpnLocalization_loss=0.084, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.084,\n",
      "                    'rpn_objectness_loss': 0.069,\n",
      "                    'step': 32,\n",
      "                    'total_loss': 0.709},\n",
      "             't': 1676354989},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.151,\n",
      "                    'localization_loss': 0.221,\n",
      "                    'log': 'INFO:tensorflow:Step 33 per-step time 1.589s '\n",
      "                           'total_loss=0.466, classification_loss=0.151, '\n",
      "                           'localization_loss=0.221, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.058, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.058,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 33,\n",
      "                    'total_loss': 0.466},\n",
      "             't': 1676354991},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.063,\n",
      "                    'localization_loss': 0.112,\n",
      "                    'log': 'INFO:tensorflow:Step 34 per-step time 1.584s '\n",
      "                           'total_loss=0.227, classification_loss=0.063, '\n",
      "                           'localization_loss=0.112, rpnObjectness_loss=0.018, '\n",
      "                           'rpnLocalization_loss=0.035, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.035,\n",
      "                    'rpn_objectness_loss': 0.018,\n",
      "                    'step': 34,\n",
      "                    'total_loss': 0.227},\n",
      "             't': 1676354992},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.417,\n",
      "                    'localization_loss': 0.596,\n",
      "                    'log': 'INFO:tensorflow:Step 35 per-step time 1.581s '\n",
      "                           'total_loss=1.083, classification_loss=0.417, '\n",
      "                           'localization_loss=0.596, rpnObjectness_loss=0.032, '\n",
      "                           'rpnLocalization_loss=0.039, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.039,\n",
      "                    'rpn_objectness_loss': 0.032,\n",
      "                    'step': 35,\n",
      "                    'total_loss': 1.083},\n",
      "             't': 1676354994},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.358,\n",
      "                    'localization_loss': 0.888,\n",
      "                    'log': 'INFO:tensorflow:Step 36 per-step time 1.591s '\n",
      "                           'total_loss=1.370, classification_loss=0.358, '\n",
      "                           'localization_loss=0.888, rpnObjectness_loss=0.055, '\n",
      "                           'rpnLocalization_loss=0.069, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.069,\n",
      "                    'rpn_objectness_loss': 0.055,\n",
      "                    'step': 36,\n",
      "                    'total_loss': 1.37},\n",
      "             't': 1676354995},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.205,\n",
      "                    'localization_loss': 0.187,\n",
      "                    'log': 'INFO:tensorflow:Step 37 per-step time 1.588s '\n",
      "                           'total_loss=0.504, classification_loss=0.205, '\n",
      "                           'localization_loss=0.187, rpnObjectness_loss=0.068, '\n",
      "                           'rpnLocalization_loss=0.045, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.045,\n",
      "                    'rpn_objectness_loss': 0.068,\n",
      "                    'step': 37,\n",
      "                    'total_loss': 0.504},\n",
      "             't': 1676354997},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.264,\n",
      "                    'localization_loss': 0.362,\n",
      "                    'log': 'INFO:tensorflow:Step 38 per-step time 1.581s '\n",
      "                           'total_loss=0.757, classification_loss=0.264, '\n",
      "                           'localization_loss=0.362, rpnObjectness_loss=0.078, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.078,\n",
      "                    'step': 38,\n",
      "                    'total_loss': 0.757},\n",
      "             't': 1676354998},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.228,\n",
      "                    'localization_loss': 0.761,\n",
      "                    'log': 'INFO:tensorflow:Step 39 per-step time 1.579s '\n",
      "                           'total_loss=1.387, classification_loss=0.228, '\n",
      "                           'localization_loss=0.761, rpnObjectness_loss=0.164, '\n",
      "                           'rpnLocalization_loss=0.234, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.234,\n",
      "                    'rpn_objectness_loss': 0.164,\n",
      "                    'step': 39,\n",
      "                    'total_loss': 1.387},\n",
      "             't': 1676355000},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.145,\n",
      "                    'localization_loss': 0.126,\n",
      "                    'log': 'INFO:tensorflow:Step 40 per-step time 1.582s '\n",
      "                           'total_loss=0.529, classification_loss=0.145, '\n",
      "                           'localization_loss=0.126, rpnObjectness_loss=0.072, '\n",
      "                           'rpnLocalization_loss=0.186, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.186,\n",
      "                    'rpn_objectness_loss': 0.072,\n",
      "                    'step': 40,\n",
      "                    'total_loss': 0.529},\n",
      "             't': 1676355002},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.141,\n",
      "                    'localization_loss': 0.168,\n",
      "                    'log': 'INFO:tensorflow:Step 41 per-step time 1.584s '\n",
      "                           'total_loss=0.596, classification_loss=0.141, '\n",
      "                           'localization_loss=0.168, rpnObjectness_loss=0.074, '\n",
      "                           'rpnLocalization_loss=0.213, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.213,\n",
      "                    'rpn_objectness_loss': 0.074,\n",
      "                    'step': 41,\n",
      "                    'total_loss': 0.596},\n",
      "             't': 1676355003},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.239,\n",
      "                    'localization_loss': 0.514,\n",
      "                    'log': 'INFO:tensorflow:Step 42 per-step time 1.578s '\n",
      "                           'total_loss=0.863, classification_loss=0.239, '\n",
      "                           'localization_loss=0.514, rpnObjectness_loss=0.050, '\n",
      "                           'rpnLocalization_loss=0.060, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.06,\n",
      "                    'rpn_objectness_loss': 0.05,\n",
      "                    'step': 42,\n",
      "                    'total_loss': 0.863},\n",
      "             't': 1676355005},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.182,\n",
      "                    'localization_loss': 0.327,\n",
      "                    'log': 'INFO:tensorflow:Step 43 per-step time 1.582s '\n",
      "                           'total_loss=0.620, classification_loss=0.182, '\n",
      "                           'localization_loss=0.327, rpnObjectness_loss=0.056, '\n",
      "                           'rpnLocalization_loss=0.055, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.055,\n",
      "                    'rpn_objectness_loss': 0.056,\n",
      "                    'step': 43,\n",
      "                    'total_loss': 0.62},\n",
      "             't': 1676355006},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.455,\n",
      "                    'localization_loss': 1.157,\n",
      "                    'log': 'INFO:tensorflow:Step 44 per-step time 1.578s '\n",
      "                           'total_loss=1.749, classification_loss=0.455, '\n",
      "                           'localization_loss=1.157, rpnObjectness_loss=0.076, '\n",
      "                           'rpnLocalization_loss=0.061, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.061,\n",
      "                    'rpn_objectness_loss': 0.076,\n",
      "                    'step': 44,\n",
      "                    'total_loss': 1.749},\n",
      "             't': 1676355008},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.104,\n",
      "                    'localization_loss': 0.529,\n",
      "                    'log': 'INFO:tensorflow:Step 45 per-step time 1.582s '\n",
      "                           'total_loss=0.679, classification_loss=0.104, '\n",
      "                           'localization_loss=0.529, rpnObjectness_loss=0.028, '\n",
      "                           'rpnLocalization_loss=0.019, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.019,\n",
      "                    'rpn_objectness_loss': 0.028,\n",
      "                    'step': 45,\n",
      "                    'total_loss': 0.679},\n",
      "             't': 1676355010},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.325,\n",
      "                    'localization_loss': 0.368,\n",
      "                    'log': 'INFO:tensorflow:Step 46 per-step time 1.582s '\n",
      "                           'total_loss=0.763, classification_loss=0.325, '\n",
      "                           'localization_loss=0.368, rpnObjectness_loss=0.049, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.049,\n",
      "                    'step': 46,\n",
      "                    'total_loss': 0.763},\n",
      "             't': 1676355011},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.12,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 47 per-step time 1.584s '\n",
      "                           'total_loss=0.612, classification_loss=0.120, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.117, '\n",
      "                           'rpnLocalization_loss=0.375, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.375,\n",
      "                    'rpn_objectness_loss': 0.117,\n",
      "                    'step': 47,\n",
      "                    'total_loss': 0.612},\n",
      "             't': 1676355013},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.385,\n",
      "                    'localization_loss': 0.794,\n",
      "                    'log': 'INFO:tensorflow:Step 48 per-step time 1.581s '\n",
      "                           'total_loss=1.370, classification_loss=0.385, '\n",
      "                           'localization_loss=0.794, rpnObjectness_loss=0.086, '\n",
      "                           'rpnLocalization_loss=0.105, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.105,\n",
      "                    'rpn_objectness_loss': 0.086,\n",
      "                    'step': 48,\n",
      "                    'total_loss': 1.37},\n",
      "             't': 1676355014},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.226,\n",
      "                    'localization_loss': 0.508,\n",
      "                    'log': 'INFO:tensorflow:Step 49 per-step time 1.585s '\n",
      "                           'total_loss=0.938, classification_loss=0.226, '\n",
      "                           'localization_loss=0.508, rpnObjectness_loss=0.072, '\n",
      "                           'rpnLocalization_loss=0.134, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.134,\n",
      "                    'rpn_objectness_loss': 0.072,\n",
      "                    'step': 49,\n",
      "                    'total_loss': 0.938},\n",
      "             't': 1676355016},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.102,\n",
      "                    'localization_loss': 0.285,\n",
      "                    'log': 'INFO:tensorflow:Step 50 per-step time 1.584s '\n",
      "                           'total_loss=0.421, classification_loss=0.102, '\n",
      "                           'localization_loss=0.285, rpnObjectness_loss=0.018, '\n",
      "                           'rpnLocalization_loss=0.015, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.015,\n",
      "                    'rpn_objectness_loss': 0.018,\n",
      "                    'step': 50,\n",
      "                    'total_loss': 0.421},\n",
      "             't': 1676355017},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.753,\n",
      "                    'localization_loss': 0.496,\n",
      "                    'log': 'INFO:tensorflow:Step 51 per-step time 1.588s '\n",
      "                           'total_loss=1.389, classification_loss=0.753, '\n",
      "                           'localization_loss=0.496, rpnObjectness_loss=0.095, '\n",
      "                           'rpnLocalization_loss=0.045, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.045,\n",
      "                    'rpn_objectness_loss': 0.095,\n",
      "                    'step': 51,\n",
      "                    'total_loss': 1.389},\n",
      "             't': 1676355019},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.142,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 52 per-step time 1.581s '\n",
      "                           'total_loss=0.193, classification_loss=0.142, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.028, '\n",
      "                           'rpnLocalization_loss=0.024, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.024,\n",
      "                    'rpn_objectness_loss': 0.028,\n",
      "                    'step': 52,\n",
      "                    'total_loss': 0.193},\n",
      "             't': 1676355021},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.126,\n",
      "                    'localization_loss': 0.223,\n",
      "                    'log': 'INFO:tensorflow:Step 53 per-step time 1.579s '\n",
      "                           'total_loss=0.441, classification_loss=0.126, '\n",
      "                           'localization_loss=0.223, rpnObjectness_loss=0.053, '\n",
      "                           'rpnLocalization_loss=0.040, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.04,\n",
      "                    'rpn_objectness_loss': 0.053,\n",
      "                    'step': 53,\n",
      "                    'total_loss': 0.441},\n",
      "             't': 1676355022},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.234,\n",
      "                    'localization_loss': 0.715,\n",
      "                    'log': 'INFO:tensorflow:Step 54 per-step time 1.586s '\n",
      "                           'total_loss=1.045, classification_loss=0.234, '\n",
      "                           'localization_loss=0.715, rpnObjectness_loss=0.044, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.044,\n",
      "                    'step': 54,\n",
      "                    'total_loss': 1.045},\n",
      "             't': 1676355024},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.279,\n",
      "                    'localization_loss': 0.623,\n",
      "                    'log': 'INFO:tensorflow:Step 55 per-step time 1.587s '\n",
      "                           'total_loss=1.137, classification_loss=0.279, '\n",
      "                           'localization_loss=0.623, rpnObjectness_loss=0.111, '\n",
      "                           'rpnLocalization_loss=0.124, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.124,\n",
      "                    'rpn_objectness_loss': 0.111,\n",
      "                    'step': 55,\n",
      "                    'total_loss': 1.137},\n",
      "             't': 1676355025},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.132,\n",
      "                    'localization_loss': 0.214,\n",
      "                    'log': 'INFO:tensorflow:Step 56 per-step time 1.585s '\n",
      "                           'total_loss=0.771, classification_loss=0.132, '\n",
      "                           'localization_loss=0.214, rpnObjectness_loss=0.212, '\n",
      "                           'rpnLocalization_loss=0.214, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.214,\n",
      "                    'rpn_objectness_loss': 0.212,\n",
      "                    'step': 56,\n",
      "                    'total_loss': 0.771},\n",
      "             't': 1676355027},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.238,\n",
      "                    'localization_loss': 0.497,\n",
      "                    'log': 'INFO:tensorflow:Step 57 per-step time 1.596s '\n",
      "                           'total_loss=1.009, classification_loss=0.238, '\n",
      "                           'localization_loss=0.497, rpnObjectness_loss=0.114, '\n",
      "                           'rpnLocalization_loss=0.160, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.16,\n",
      "                    'rpn_objectness_loss': 0.114,\n",
      "                    'step': 57,\n",
      "                    'total_loss': 1.009},\n",
      "             't': 1676355029},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.419,\n",
      "                    'localization_loss': 1.436,\n",
      "                    'log': 'INFO:tensorflow:Step 58 per-step time 1.599s '\n",
      "                           'total_loss=1.897, classification_loss=0.419, '\n",
      "                           'localization_loss=1.436, rpnObjectness_loss=0.019, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.019,\n",
      "                    'step': 58,\n",
      "                    'total_loss': 1.897},\n",
      "             't': 1676355030},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.425,\n",
      "                    'localization_loss': 1.469,\n",
      "                    'log': 'INFO:tensorflow:Step 59 per-step time 1.584s '\n",
      "                           'total_loss=1.983, classification_loss=0.425, '\n",
      "                           'localization_loss=1.469, rpnObjectness_loss=0.048, '\n",
      "                           'rpnLocalization_loss=0.041, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.041,\n",
      "                    'rpn_objectness_loss': 0.048,\n",
      "                    'step': 59,\n",
      "                    'total_loss': 1.983},\n",
      "             't': 1676355032},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.401,\n",
      "                    'localization_loss': 0.432,\n",
      "                    'log': 'INFO:tensorflow:Step 60 per-step time 1.602s '\n",
      "                           'total_loss=0.906, classification_loss=0.401, '\n",
      "                           'localization_loss=0.432, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.033,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 60,\n",
      "                    'total_loss': 0.906},\n",
      "             't': 1676355033},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.394,\n",
      "                    'localization_loss': 0.368,\n",
      "                    'log': 'INFO:tensorflow:Step 61 per-step time 1.603s '\n",
      "                           'total_loss=0.790, classification_loss=0.394, '\n",
      "                           'localization_loss=0.368, rpnObjectness_loss=0.014, '\n",
      "                           'rpnLocalization_loss=0.015, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.015,\n",
      "                    'rpn_objectness_loss': 0.014,\n",
      "                    'step': 61,\n",
      "                    'total_loss': 0.79},\n",
      "             't': 1676355035},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.302,\n",
      "                    'localization_loss': 0.524,\n",
      "                    'log': 'INFO:tensorflow:Step 62 per-step time 1.603s '\n",
      "                           'total_loss=1.005, classification_loss=0.302, '\n",
      "                           'localization_loss=0.524, rpnObjectness_loss=0.083, '\n",
      "                           'rpnLocalization_loss=0.096, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.096,\n",
      "                    'rpn_objectness_loss': 0.083,\n",
      "                    'step': 62,\n",
      "                    'total_loss': 1.005},\n",
      "             't': 1676355037},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.332,\n",
      "                    'localization_loss': 0.801,\n",
      "                    'log': 'INFO:tensorflow:Step 63 per-step time 1.603s '\n",
      "                           'total_loss=3.341, classification_loss=0.332, '\n",
      "                           'localization_loss=0.801, rpnObjectness_loss=0.342, '\n",
      "                           'rpnLocalization_loss=1.866, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 1.866,\n",
      "                    'rpn_objectness_loss': 0.342,\n",
      "                    'step': 63,\n",
      "                    'total_loss': 3.341},\n",
      "             't': 1676355038},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.125,\n",
      "                    'localization_loss': 0.068,\n",
      "                    'log': 'INFO:tensorflow:Step 64 per-step time 1.594s '\n",
      "                           'total_loss=0.432, classification_loss=0.125, '\n",
      "                           'localization_loss=0.068, rpnObjectness_loss=0.071, '\n",
      "                           'rpnLocalization_loss=0.168, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.168,\n",
      "                    'rpn_objectness_loss': 0.071,\n",
      "                    'step': 64,\n",
      "                    'total_loss': 0.432},\n",
      "             't': 1676355040},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.3,\n",
      "                    'localization_loss': 0.6,\n",
      "                    'log': 'INFO:tensorflow:Step 65 per-step time 1.605s '\n",
      "                           'total_loss=1.041, classification_loss=0.300, '\n",
      "                           'localization_loss=0.600, rpnObjectness_loss=0.080, '\n",
      "                           'rpnLocalization_loss=0.061, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.061,\n",
      "                    'rpn_objectness_loss': 0.08,\n",
      "                    'step': 65,\n",
      "                    'total_loss': 1.041},\n",
      "             't': 1676355041},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.128,\n",
      "                    'localization_loss': 0.055,\n",
      "                    'log': 'INFO:tensorflow:Step 66 per-step time 1.604s '\n",
      "                           'total_loss=0.372, classification_loss=0.128, '\n",
      "                           'localization_loss=0.055, rpnObjectness_loss=0.094, '\n",
      "                           'rpnLocalization_loss=0.095, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.095,\n",
      "                    'rpn_objectness_loss': 0.094,\n",
      "                    'step': 66,\n",
      "                    'total_loss': 0.372},\n",
      "             't': 1676355043},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.467,\n",
      "                    'localization_loss': 1.164,\n",
      "                    'log': 'INFO:tensorflow:Step 67 per-step time 1.601s '\n",
      "                           'total_loss=1.771, classification_loss=0.467, '\n",
      "                           'localization_loss=1.164, rpnObjectness_loss=0.076, '\n",
      "                           'rpnLocalization_loss=0.064, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.064,\n",
      "                    'rpn_objectness_loss': 0.076,\n",
      "                    'step': 67,\n",
      "                    'total_loss': 1.771},\n",
      "             't': 1676355045},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.229,\n",
      "                    'localization_loss': 0.454,\n",
      "                    'log': 'INFO:tensorflow:Step 68 per-step time 1.597s '\n",
      "                           'total_loss=0.805, classification_loss=0.229, '\n",
      "                           'localization_loss=0.454, rpnObjectness_loss=0.069, '\n",
      "                           'rpnLocalization_loss=0.053, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.053,\n",
      "                    'rpn_objectness_loss': 0.069,\n",
      "                    'step': 68,\n",
      "                    'total_loss': 0.805},\n",
      "             't': 1676355046},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.126,\n",
      "                    'localization_loss': 0.16,\n",
      "                    'log': 'INFO:tensorflow:Step 69 per-step time 1.602s '\n",
      "                           'total_loss=0.398, classification_loss=0.126, '\n",
      "                           'localization_loss=0.160, rpnObjectness_loss=0.038, '\n",
      "                           'rpnLocalization_loss=0.075, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.075,\n",
      "                    'rpn_objectness_loss': 0.038,\n",
      "                    'step': 69,\n",
      "                    'total_loss': 0.398},\n",
      "             't': 1676355048},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.246,\n",
      "                    'localization_loss': 0.743,\n",
      "                    'log': 'INFO:tensorflow:Step 70 per-step time 1.597s '\n",
      "                           'total_loss=1.157, classification_loss=0.246, '\n",
      "                           'localization_loss=0.743, rpnObjectness_loss=0.083, '\n",
      "                           'rpnLocalization_loss=0.085, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.085,\n",
      "                    'rpn_objectness_loss': 0.083,\n",
      "                    'step': 70,\n",
      "                    'total_loss': 1.157},\n",
      "             't': 1676355049},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.176,\n",
      "                    'localization_loss': 0.452,\n",
      "                    'log': 'INFO:tensorflow:Step 71 per-step time 1.602s '\n",
      "                           'total_loss=1.426, classification_loss=0.176, '\n",
      "                           'localization_loss=0.452, rpnObjectness_loss=0.123, '\n",
      "                           'rpnLocalization_loss=0.675, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.675,\n",
      "                    'rpn_objectness_loss': 0.123,\n",
      "                    'step': 71,\n",
      "                    'total_loss': 1.426},\n",
      "             't': 1676355051},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.131,\n",
      "                    'localization_loss': 0.482,\n",
      "                    'log': 'INFO:tensorflow:Step 72 per-step time 1.601s '\n",
      "                           'total_loss=0.750, classification_loss=0.131, '\n",
      "                           'localization_loss=0.482, rpnObjectness_loss=0.045, '\n",
      "                           'rpnLocalization_loss=0.091, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.091,\n",
      "                    'rpn_objectness_loss': 0.045,\n",
      "                    'step': 72,\n",
      "                    'total_loss': 0.75},\n",
      "             't': 1676355053},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.217,\n",
      "                    'localization_loss': 0.417,\n",
      "                    'log': 'INFO:tensorflow:Step 73 per-step time 1.602s '\n",
      "                           'total_loss=0.771, classification_loss=0.217, '\n",
      "                           'localization_loss=0.417, rpnObjectness_loss=0.104, '\n",
      "                           'rpnLocalization_loss=0.034, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.034,\n",
      "                    'rpn_objectness_loss': 0.104,\n",
      "                    'step': 73,\n",
      "                    'total_loss': 0.771},\n",
      "             't': 1676355054},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.24,\n",
      "                    'localization_loss': 0.628,\n",
      "                    'log': 'INFO:tensorflow:Step 74 per-step time 1.594s '\n",
      "                           'total_loss=1.020, classification_loss=0.240, '\n",
      "                           'localization_loss=0.628, rpnObjectness_loss=0.078, '\n",
      "                           'rpnLocalization_loss=0.073, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.073,\n",
      "                    'rpn_objectness_loss': 0.078,\n",
      "                    'step': 74,\n",
      "                    'total_loss': 1.02},\n",
      "             't': 1676355056},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.186,\n",
      "                    'localization_loss': 0.198,\n",
      "                    'log': 'INFO:tensorflow:Step 75 per-step time 1.585s '\n",
      "                           'total_loss=0.792, classification_loss=0.186, '\n",
      "                           'localization_loss=0.198, rpnObjectness_loss=0.239, '\n",
      "                           'rpnLocalization_loss=0.169, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.169,\n",
      "                    'rpn_objectness_loss': 0.239,\n",
      "                    'step': 75,\n",
      "                    'total_loss': 0.792},\n",
      "             't': 1676355057},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.369,\n",
      "                    'localization_loss': 1.037,\n",
      "                    'log': 'INFO:tensorflow:Step 76 per-step time 1.601s '\n",
      "                           'total_loss=1.526, classification_loss=0.369, '\n",
      "                           'localization_loss=1.037, rpnObjectness_loss=0.042, '\n",
      "                           'rpnLocalization_loss=0.076, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.076,\n",
      "                    'rpn_objectness_loss': 0.042,\n",
      "                    'step': 76,\n",
      "                    'total_loss': 1.526},\n",
      "             't': 1676355059},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.165,\n",
      "                    'localization_loss': 0.435,\n",
      "                    'log': 'INFO:tensorflow:Step 77 per-step time 1.585s '\n",
      "                           'total_loss=0.639, classification_loss=0.165, '\n",
      "                           'localization_loss=0.435, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.018, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.018,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 77,\n",
      "                    'total_loss': 0.639},\n",
      "             't': 1676355061},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.096,\n",
      "                    'localization_loss': 0.32,\n",
      "                    'log': 'INFO:tensorflow:Step 78 per-step time 1.598s '\n",
      "                           'total_loss=0.512, classification_loss=0.096, '\n",
      "                           'localization_loss=0.320, rpnObjectness_loss=0.053, '\n",
      "                           'rpnLocalization_loss=0.042, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.042,\n",
      "                    'rpn_objectness_loss': 0.053,\n",
      "                    'step': 78,\n",
      "                    'total_loss': 0.512},\n",
      "             't': 1676355062},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.253,\n",
      "                    'localization_loss': 0.358,\n",
      "                    'log': 'INFO:tensorflow:Step 79 per-step time 1.597s '\n",
      "                           'total_loss=0.683, classification_loss=0.253, '\n",
      "                           'localization_loss=0.358, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 79,\n",
      "                    'total_loss': 0.683},\n",
      "             't': 1676355064},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.341,\n",
      "                    'localization_loss': 0.583,\n",
      "                    'log': 'INFO:tensorflow:Step 80 per-step time 1.584s '\n",
      "                           'total_loss=0.989, classification_loss=0.341, '\n",
      "                           'localization_loss=0.583, rpnObjectness_loss=0.017, '\n",
      "                           'rpnLocalization_loss=0.049, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.049,\n",
      "                    'rpn_objectness_loss': 0.017,\n",
      "                    'step': 80,\n",
      "                    'total_loss': 0.989},\n",
      "             't': 1676355065},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.335,\n",
      "                    'localization_loss': 0.91,\n",
      "                    'log': 'INFO:tensorflow:Step 81 per-step time 1.584s '\n",
      "                           'total_loss=1.323, classification_loss=0.335, '\n",
      "                           'localization_loss=0.910, rpnObjectness_loss=0.032, '\n",
      "                           'rpnLocalization_loss=0.045, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.045,\n",
      "                    'rpn_objectness_loss': 0.032,\n",
      "                    'step': 81,\n",
      "                    'total_loss': 1.323},\n",
      "             't': 1676355067},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.175,\n",
      "                    'localization_loss': 0.063,\n",
      "                    'log': 'INFO:tensorflow:Step 82 per-step time 1.580s '\n",
      "                           'total_loss=0.349, classification_loss=0.175, '\n",
      "                           'localization_loss=0.063, rpnObjectness_loss=0.058, '\n",
      "                           'rpnLocalization_loss=0.053, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.053,\n",
      "                    'rpn_objectness_loss': 0.058,\n",
      "                    'step': 82,\n",
      "                    'total_loss': 0.349},\n",
      "             't': 1676355068},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.139,\n",
      "                    'localization_loss': 0.496,\n",
      "                    'log': 'INFO:tensorflow:Step 83 per-step time 1.584s '\n",
      "                           'total_loss=4.712, classification_loss=0.139, '\n",
      "                           'localization_loss=0.496, rpnObjectness_loss=1.045, '\n",
      "                           'rpnLocalization_loss=3.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 3.033,\n",
      "                    'rpn_objectness_loss': 1.045,\n",
      "                    'step': 83,\n",
      "                    'total_loss': 4.712},\n",
      "             't': 1676355070},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.132,\n",
      "                    'localization_loss': 0.52,\n",
      "                    'log': 'INFO:tensorflow:Step 84 per-step time 1.600s '\n",
      "                           'total_loss=0.901, classification_loss=0.132, '\n",
      "                           'localization_loss=0.520, rpnObjectness_loss=0.176, '\n",
      "                           'rpnLocalization_loss=0.072, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.072,\n",
      "                    'rpn_objectness_loss': 0.176,\n",
      "                    'step': 84,\n",
      "                    'total_loss': 0.901},\n",
      "             't': 1676355072},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.08,\n",
      "                    'localization_loss': 0.117,\n",
      "                    'log': 'INFO:tensorflow:Step 85 per-step time 1.580s '\n",
      "                           'total_loss=0.380, classification_loss=0.080, '\n",
      "                           'localization_loss=0.117, rpnObjectness_loss=0.157, '\n",
      "                           'rpnLocalization_loss=0.026, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.026,\n",
      "                    'rpn_objectness_loss': 0.157,\n",
      "                    'step': 85,\n",
      "                    'total_loss': 0.38},\n",
      "             't': 1676355073},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.242,\n",
      "                    'localization_loss': 0.389,\n",
      "                    'log': 'INFO:tensorflow:Step 86 per-step time 1.584s '\n",
      "                           'total_loss=0.911, classification_loss=0.242, '\n",
      "                           'localization_loss=0.389, rpnObjectness_loss=0.127, '\n",
      "                           'rpnLocalization_loss=0.153, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.153,\n",
      "                    'rpn_objectness_loss': 0.127,\n",
      "                    'step': 86,\n",
      "                    'total_loss': 0.911},\n",
      "             't': 1676355075},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.381,\n",
      "                    'localization_loss': 0.623,\n",
      "                    'log': 'INFO:tensorflow:Step 87 per-step time 1.583s '\n",
      "                           'total_loss=1.408, classification_loss=0.381, '\n",
      "                           'localization_loss=0.623, rpnObjectness_loss=0.166, '\n",
      "                           'rpnLocalization_loss=0.239, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.239,\n",
      "                    'rpn_objectness_loss': 0.166,\n",
      "                    'step': 87,\n",
      "                    'total_loss': 1.408},\n",
      "             't': 1676355076},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.302,\n",
      "                    'localization_loss': 0.8,\n",
      "                    'log': 'INFO:tensorflow:Step 88 per-step time 1.580s '\n",
      "                           'total_loss=1.168, classification_loss=0.302, '\n",
      "                           'localization_loss=0.800, rpnObjectness_loss=0.043, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.043,\n",
      "                    'step': 88,\n",
      "                    'total_loss': 1.168},\n",
      "             't': 1676355078},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.287,\n",
      "                    'localization_loss': 0.964,\n",
      "                    'log': 'INFO:tensorflow:Step 89 per-step time 1.583s '\n",
      "                           'total_loss=1.354, classification_loss=0.287, '\n",
      "                           'localization_loss=0.964, rpnObjectness_loss=0.086, '\n",
      "                           'rpnLocalization_loss=0.017, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.017,\n",
      "                    'rpn_objectness_loss': 0.086,\n",
      "                    'step': 89,\n",
      "                    'total_loss': 1.354},\n",
      "             't': 1676355080},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.333,\n",
      "                    'localization_loss': 0.575,\n",
      "                    'log': 'INFO:tensorflow:Step 90 per-step time 1.578s '\n",
      "                           'total_loss=0.982, classification_loss=0.333, '\n",
      "                           'localization_loss=0.575, rpnObjectness_loss=0.050, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.05,\n",
      "                    'step': 90,\n",
      "                    'total_loss': 0.982},\n",
      "             't': 1676355081},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.37,\n",
      "                    'localization_loss': 0.679,\n",
      "                    'log': 'INFO:tensorflow:Step 91 per-step time 1.581s '\n",
      "                           'total_loss=1.199, classification_loss=0.370, '\n",
      "                           'localization_loss=0.679, rpnObjectness_loss=0.106, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.106,\n",
      "                    'step': 91,\n",
      "                    'total_loss': 1.199},\n",
      "             't': 1676355083},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.391,\n",
      "                    'localization_loss': 0.965,\n",
      "                    'log': 'INFO:tensorflow:Step 92 per-step time 1.582s '\n",
      "                           'total_loss=1.581, classification_loss=0.391, '\n",
      "                           'localization_loss=0.965, rpnObjectness_loss=0.149, '\n",
      "                           'rpnLocalization_loss=0.077, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.077,\n",
      "                    'rpn_objectness_loss': 0.149,\n",
      "                    'step': 92,\n",
      "                    'total_loss': 1.581},\n",
      "             't': 1676355084},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.28,\n",
      "                    'localization_loss': 0.199,\n",
      "                    'log': 'INFO:tensorflow:Step 93 per-step time 1.587s '\n",
      "                           'total_loss=0.549, classification_loss=0.280, '\n",
      "                           'localization_loss=0.199, rpnObjectness_loss=0.056, '\n",
      "                           'rpnLocalization_loss=0.015, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.015,\n",
      "                    'rpn_objectness_loss': 0.056,\n",
      "                    'step': 93,\n",
      "                    'total_loss': 0.549},\n",
      "             't': 1676355086},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.355,\n",
      "                    'localization_loss': 0.55,\n",
      "                    'log': 'INFO:tensorflow:Step 94 per-step time 1.582s '\n",
      "                           'total_loss=1.025, classification_loss=0.355, '\n",
      "                           'localization_loss=0.550, rpnObjectness_loss=0.056, '\n",
      "                           'rpnLocalization_loss=0.063, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.063,\n",
      "                    'rpn_objectness_loss': 0.056,\n",
      "                    'step': 94,\n",
      "                    'total_loss': 1.025},\n",
      "             't': 1676355087},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.08,\n",
      "                    'localization_loss': 0.045,\n",
      "                    'log': 'INFO:tensorflow:Step 95 per-step time 1.587s '\n",
      "                           'total_loss=0.250, classification_loss=0.080, '\n",
      "                           'localization_loss=0.045, rpnObjectness_loss=0.083, '\n",
      "                           'rpnLocalization_loss=0.041, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.041,\n",
      "                    'rpn_objectness_loss': 0.083,\n",
      "                    'step': 95,\n",
      "                    'total_loss': 0.25},\n",
      "             't': 1676355089},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.325,\n",
      "                    'localization_loss': 1.194,\n",
      "                    'log': 'INFO:tensorflow:Step 96 per-step time 1.582s '\n",
      "                           'total_loss=1.613, classification_loss=0.325, '\n",
      "                           'localization_loss=1.194, rpnObjectness_loss=0.046, '\n",
      "                           'rpnLocalization_loss=0.048, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.048,\n",
      "                    'rpn_objectness_loss': 0.046,\n",
      "                    'step': 96,\n",
      "                    'total_loss': 1.613},\n",
      "             't': 1676355091},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.32,\n",
      "                    'localization_loss': 0.998,\n",
      "                    'log': 'INFO:tensorflow:Step 97 per-step time 1.589s '\n",
      "                           'total_loss=1.663, classification_loss=0.320, '\n",
      "                           'localization_loss=0.998, rpnObjectness_loss=0.147, '\n",
      "                           'rpnLocalization_loss=0.197, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.197,\n",
      "                    'rpn_objectness_loss': 0.147,\n",
      "                    'step': 97,\n",
      "                    'total_loss': 1.663},\n",
      "             't': 1676355092},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.298,\n",
      "                    'localization_loss': 0.669,\n",
      "                    'log': 'INFO:tensorflow:Step 98 per-step time 1.587s '\n",
      "                           'total_loss=1.028, classification_loss=0.298, '\n",
      "                           'localization_loss=0.669, rpnObjectness_loss=0.047, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.047,\n",
      "                    'step': 98,\n",
      "                    'total_loss': 1.028},\n",
      "             't': 1676355094},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.31,\n",
      "                    'localization_loss': 0.871,\n",
      "                    'log': 'INFO:tensorflow:Step 99 per-step time 1.579s '\n",
      "                           'total_loss=1.327, classification_loss=0.310, '\n",
      "                           'localization_loss=0.871, rpnObjectness_loss=0.045, '\n",
      "                           'rpnLocalization_loss=0.101, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.101,\n",
      "                    'rpn_objectness_loss': 0.045,\n",
      "                    'step': 99,\n",
      "                    'total_loss': 1.327},\n",
      "             't': 1676355095},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.219,\n",
      "                    'localization_loss': 0.421,\n",
      "                    'log': 'INFO:tensorflow:Step 100 per-step time 1.575s '\n",
      "                           'total_loss=0.703, classification_loss=0.219, '\n",
      "                           'localization_loss=0.421, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.044, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.044,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 100,\n",
      "                    'total_loss': 0.703},\n",
      "             't': 1676355097},\n",
      "            {'ev': 'evaluationCheckpoint',\n",
      "             'pl': {'average_precision': 0.029858,\n",
      "                    'average_precision.50_iou': 0.107383,\n",
      "                    'average_precision.75_iou': 0.002904,\n",
      "                    'average_recall1': 0.046471,\n",
      "                    'average_recall10': 0.094902,\n",
      "                    'average_recall100': 0.118824,\n",
      "                    'classification_loss': 0.127592,\n",
      "                    'large_average_precision': 0.089802,\n",
      "                    'large_average_recall100': 0.345752,\n",
      "                    'localization_loss': 0.093255,\n",
      "                    'log': 'Loading and preparing annotation results...\\n'\n",
      "                           'INFO:tensorflow:Eval metrics at step 100\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP: '\n",
      "                           '0.029858\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.50IOU: 0.107383\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.75IOU: 0.002904\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(small): 0.001980\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(medium): 0.028102\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(large): 0.089802\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@1: '\n",
      "                           '0.046471\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@10: '\n",
      "                           '0.094902\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100: '\n",
      "                           '0.118824\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(small): 0.001429\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(medium): 0.094805\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(large): 0.345752\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnLocalization_loss: '\n",
      "                           '0.190987\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnObjectness_loss: '\n",
      "                           '0.076245\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/localization_loss: '\n",
      "                           '0.093255\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/classification_loss: '\n",
      "                           '0.127592\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/regularization_loss: '\n",
      "                           '0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/total_loss: 0.488078\\n'\n",
      "                           'INFO:tensorflow:Waiting for new checkpoint at '\n",
      "                           '***\\n',\n",
      "                    'medium_average_precision': 0.028102,\n",
      "                    'medium_average_recall100': 0.094805,\n",
      "                    'regularization_loss': 0,\n",
      "                    'rpn_localization_loss': 0.190987,\n",
      "                    'rpn_objectness_loss': 0.076245,\n",
      "                    'small_average_precision': 0.00198,\n",
      "                    'small_average_recall100': 0.001429,\n",
      "                    'step': 100,\n",
      "                    'total_loss': 0.488078},\n",
      "             't': 1676355226},\n",
      "            {'ev': 'artifactAuthorized',\n",
      "             'pl': {'artifact_id': '63eb269ab03587e371e77ff5',\n",
      "                    'name': 'ckpt-2'},\n",
      "             't': 1676355226},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.311,\n",
      "                    'localization_loss': 0.49,\n",
      "                    'log': 'INFO:tensorflow:Step 101 per-step time 130.464s '\n",
      "                           'total_loss=0.824, classification_loss=0.311, '\n",
      "                           'localization_loss=0.490, rpnObjectness_loss=0.012, '\n",
      "                           'rpnLocalization_loss=0.012, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.012,\n",
      "                    'rpn_objectness_loss': 0.012,\n",
      "                    'step': 101,\n",
      "                    'total_loss': 0.824},\n",
      "             't': 1676355227},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.242,\n",
      "                    'localization_loss': 0.531,\n",
      "                    'log': 'INFO:tensorflow:Step 102 per-step time 1.588s '\n",
      "                           'total_loss=0.809, classification_loss=0.242, '\n",
      "                           'localization_loss=0.531, rpnObjectness_loss=0.016, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.016,\n",
      "                    'step': 102,\n",
      "                    'total_loss': 0.809},\n",
      "             't': 1676355229},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.251,\n",
      "                    'localization_loss': 0.369,\n",
      "                    'log': 'INFO:tensorflow:Step 103 per-step time 1.593s '\n",
      "                           'total_loss=0.721, classification_loss=0.251, '\n",
      "                           'localization_loss=0.369, rpnObjectness_loss=0.060, '\n",
      "                           'rpnLocalization_loss=0.041, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.041,\n",
      "                    'rpn_objectness_loss': 0.06,\n",
      "                    'step': 103,\n",
      "                    'total_loss': 0.721},\n",
      "             't': 1676355231},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.235,\n",
      "                    'localization_loss': 0.572,\n",
      "                    'log': 'INFO:tensorflow:Step 104 per-step time 1.605s '\n",
      "                           'total_loss=0.846, classification_loss=0.235, '\n",
      "                           'localization_loss=0.572, rpnObjectness_loss=0.022, '\n",
      "                           'rpnLocalization_loss=0.017, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.017,\n",
      "                    'rpn_objectness_loss': 0.022,\n",
      "                    'step': 104,\n",
      "                    'total_loss': 0.846},\n",
      "             't': 1676355232},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.113,\n",
      "                    'localization_loss': 0.646,\n",
      "                    'log': 'INFO:tensorflow:Step 105 per-step time 1.591s '\n",
      "                           'total_loss=0.784, classification_loss=0.113, '\n",
      "                           'localization_loss=0.646, rpnObjectness_loss=0.010, '\n",
      "                           'rpnLocalization_loss=0.015, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.015,\n",
      "                    'rpn_objectness_loss': 0.01,\n",
      "                    'step': 105,\n",
      "                    'total_loss': 0.784},\n",
      "             't': 1676355234},\n",
      "            {'ev': 'artifactUploaded',\n",
      "             'pl': {'artifact_id': '63eb269ab03587e371e77ff5',\n",
      "                    'files': [{'md5': 'd891536d7875e5985f3eb3fe8c3e1354',\n",
      "                               'name': 'ckpt-2.index'},\n",
      "                              {'md5': '9a5325ed89c30ab694e3490d9f0cb127',\n",
      "                               'name': 'ckpt-2.data-00000-of-00001'}]},\n",
      "             't': 1676355235},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.16,\n",
      "                    'localization_loss': 0.231,\n",
      "                    'log': 'INFO:tensorflow:Step 106 per-step time 1.589s '\n",
      "                           'total_loss=0.500, classification_loss=0.160, '\n",
      "                           'localization_loss=0.231, rpnObjectness_loss=0.053, '\n",
      "                           'rpnLocalization_loss=0.057, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.057,\n",
      "                    'rpn_objectness_loss': 0.053,\n",
      "                    'step': 106,\n",
      "                    'total_loss': 0.5},\n",
      "             't': 1676355235},\n",
      "            {'ev': 'artifactRemoved',\n",
      "             'pl': {'artifact_id': '63eb2548b03587e371e77bea',\n",
      "                    'by': '63eb269ab03587e371e77ff5',\n",
      "                    'reason': 'replaced'},\n",
      "             't': 1676355236},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.213,\n",
      "                    'localization_loss': 0.8,\n",
      "                    'log': 'INFO:tensorflow:Step 107 per-step time 1.604s '\n",
      "                           'total_loss=1.040, classification_loss=0.213, '\n",
      "                           'localization_loss=0.800, rpnObjectness_loss=0.011, '\n",
      "                           'rpnLocalization_loss=0.017, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.017,\n",
      "                    'rpn_objectness_loss': 0.011,\n",
      "                    'step': 107,\n",
      "                    'total_loss': 1.04},\n",
      "             't': 1676355237},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.227,\n",
      "                    'localization_loss': 0.413,\n",
      "                    'log': 'INFO:tensorflow:Step 108 per-step time 1.598s '\n",
      "                           'total_loss=0.676, classification_loss=0.227, '\n",
      "                           'localization_loss=0.413, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.016, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.016,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 108,\n",
      "                    'total_loss': 0.676},\n",
      "             't': 1676355239},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.142,\n",
      "                    'localization_loss': 0.613,\n",
      "                    'log': 'INFO:tensorflow:Step 109 per-step time 1.586s '\n",
      "                           'total_loss=0.845, classification_loss=0.142, '\n",
      "                           'localization_loss=0.613, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.050, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.05,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 109,\n",
      "                    'total_loss': 0.845},\n",
      "             't': 1676355240},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.229,\n",
      "                    'localization_loss': 0.662,\n",
      "                    'log': 'INFO:tensorflow:Step 110 per-step time 1.586s '\n",
      "                           'total_loss=1.019, classification_loss=0.229, '\n",
      "                           'localization_loss=0.662, rpnObjectness_loss=0.066, '\n",
      "                           'rpnLocalization_loss=0.062, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.062,\n",
      "                    'rpn_objectness_loss': 0.066,\n",
      "                    'step': 110,\n",
      "                    'total_loss': 1.019},\n",
      "             't': 1676355242},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.204,\n",
      "                    'localization_loss': 0.553,\n",
      "                    'log': 'INFO:tensorflow:Step 111 per-step time 1.592s '\n",
      "                           'total_loss=0.802, classification_loss=0.204, '\n",
      "                           'localization_loss=0.553, rpnObjectness_loss=0.018, '\n",
      "                           'rpnLocalization_loss=0.028, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.028,\n",
      "                    'rpn_objectness_loss': 0.018,\n",
      "                    'step': 111,\n",
      "                    'total_loss': 0.802},\n",
      "             't': 1676355243},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.283,\n",
      "                    'localization_loss': 0.651,\n",
      "                    'log': 'INFO:tensorflow:Step 112 per-step time 1.578s '\n",
      "                           'total_loss=0.975, classification_loss=0.283, '\n",
      "                           'localization_loss=0.651, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 112,\n",
      "                    'total_loss': 0.975},\n",
      "             't': 1676355245},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.206,\n",
      "                    'localization_loss': 0.536,\n",
      "                    'log': 'INFO:tensorflow:Step 113 per-step time 1.583s '\n",
      "                           'total_loss=0.775, classification_loss=0.206, '\n",
      "                           'localization_loss=0.536, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 113,\n",
      "                    'total_loss': 0.775},\n",
      "             't': 1676355247},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.338,\n",
      "                    'localization_loss': 0.755,\n",
      "                    'log': 'INFO:tensorflow:Step 114 per-step time 1.601s '\n",
      "                           'total_loss=1.443, classification_loss=0.338, '\n",
      "                           'localization_loss=0.755, rpnObjectness_loss=0.198, '\n",
      "                           'rpnLocalization_loss=0.152, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.152,\n",
      "                    'rpn_objectness_loss': 0.198,\n",
      "                    'step': 114,\n",
      "                    'total_loss': 1.443},\n",
      "             't': 1676355248},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.491,\n",
      "                    'localization_loss': 0.953,\n",
      "                    'log': 'INFO:tensorflow:Step 115 per-step time 1.584s '\n",
      "                           'total_loss=1.607, classification_loss=0.491, '\n",
      "                           'localization_loss=0.953, rpnObjectness_loss=0.102, '\n",
      "                           'rpnLocalization_loss=0.061, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.061,\n",
      "                    'rpn_objectness_loss': 0.102,\n",
      "                    'step': 115,\n",
      "                    'total_loss': 1.607},\n",
      "             't': 1676355250},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.229,\n",
      "                    'localization_loss': 0.253,\n",
      "                    'log': 'INFO:tensorflow:Step 116 per-step time 1.581s '\n",
      "                           'total_loss=1.053, classification_loss=0.229, '\n",
      "                           'localization_loss=0.253, rpnObjectness_loss=0.165, '\n",
      "                           'rpnLocalization_loss=0.406, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.406,\n",
      "                    'rpn_objectness_loss': 0.165,\n",
      "                    'step': 116,\n",
      "                    'total_loss': 1.053},\n",
      "             't': 1676355251},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.453,\n",
      "                    'localization_loss': 1.5,\n",
      "                    'log': 'INFO:tensorflow:Step 117 per-step time 1.575s '\n",
      "                           'total_loss=1.986, classification_loss=0.453, '\n",
      "                           'localization_loss=1.500, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.020, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.02,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 117,\n",
      "                    'total_loss': 1.986},\n",
      "             't': 1676355253},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 1.081,\n",
      "                    'localization_loss': 0.803,\n",
      "                    'log': 'INFO:tensorflow:Step 118 per-step time 1.585s '\n",
      "                           'total_loss=1.920, classification_loss=1.081, '\n",
      "                           'localization_loss=0.803, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.024, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.024,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 118,\n",
      "                    'total_loss': 1.92},\n",
      "             't': 1676355254},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.494,\n",
      "                    'localization_loss': 0.926,\n",
      "                    'log': 'INFO:tensorflow:Step 119 per-step time 1.581s '\n",
      "                           'total_loss=1.762, classification_loss=0.494, '\n",
      "                           'localization_loss=0.926, rpnObjectness_loss=0.177, '\n",
      "                           'rpnLocalization_loss=0.164, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.164,\n",
      "                    'rpn_objectness_loss': 0.177,\n",
      "                    'step': 119,\n",
      "                    'total_loss': 1.762},\n",
      "             't': 1676355256},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.257,\n",
      "                    'localization_loss': 0.344,\n",
      "                    'log': 'INFO:tensorflow:Step 120 per-step time 1.584s '\n",
      "                           'total_loss=0.877, classification_loss=0.257, '\n",
      "                           'localization_loss=0.344, rpnObjectness_loss=0.146, '\n",
      "                           'rpnLocalization_loss=0.129, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.129,\n",
      "                    'rpn_objectness_loss': 0.146,\n",
      "                    'step': 120,\n",
      "                    'total_loss': 0.877},\n",
      "             't': 1676355258},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.473,\n",
      "                    'localization_loss': 1.049,\n",
      "                    'log': 'INFO:tensorflow:Step 121 per-step time 1.576s '\n",
      "                           'total_loss=1.580, classification_loss=0.473, '\n",
      "                           'localization_loss=1.049, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.028, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.028,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 121,\n",
      "                    'total_loss': 1.58},\n",
      "             't': 1676355259},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.166,\n",
      "                    'localization_loss': 0.223,\n",
      "                    'log': 'INFO:tensorflow:Step 122 per-step time 1.575s '\n",
      "                           'total_loss=0.476, classification_loss=0.166, '\n",
      "                           'localization_loss=0.223, rpnObjectness_loss=0.033, '\n",
      "                           'rpnLocalization_loss=0.054, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.054,\n",
      "                    'rpn_objectness_loss': 0.033,\n",
      "                    'step': 122,\n",
      "                    'total_loss': 0.476},\n",
      "             't': 1676355261},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.573,\n",
      "                    'localization_loss': 0.997,\n",
      "                    'log': 'INFO:tensorflow:Step 123 per-step time 1.587s '\n",
      "                           'total_loss=1.886, classification_loss=0.573, '\n",
      "                           'localization_loss=0.997, rpnObjectness_loss=0.172, '\n",
      "                           'rpnLocalization_loss=0.145, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.145,\n",
      "                    'rpn_objectness_loss': 0.172,\n",
      "                    'step': 123,\n",
      "                    'total_loss': 1.886},\n",
      "             't': 1676355262},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.054,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 124 per-step time 1.575s '\n",
      "                           'total_loss=0.167, classification_loss=0.054, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.059, '\n",
      "                           'rpnLocalization_loss=0.054, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.054,\n",
      "                    'rpn_objectness_loss': 0.059,\n",
      "                    'step': 124,\n",
      "                    'total_loss': 0.167},\n",
      "             't': 1676355264},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.328,\n",
      "                    'localization_loss': 0.617,\n",
      "                    'log': 'INFO:tensorflow:Step 125 per-step time 1.579s '\n",
      "                           'total_loss=0.983, classification_loss=0.328, '\n",
      "                           'localization_loss=0.617, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.011, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.011,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 125,\n",
      "                    'total_loss': 0.983},\n",
      "             't': 1676355266},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.293,\n",
      "                    'localization_loss': 0.615,\n",
      "                    'log': 'INFO:tensorflow:Step 126 per-step time 1.582s '\n",
      "                           'total_loss=0.997, classification_loss=0.293, '\n",
      "                           'localization_loss=0.615, rpnObjectness_loss=0.051, '\n",
      "                           'rpnLocalization_loss=0.038, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.038,\n",
      "                    'rpn_objectness_loss': 0.051,\n",
      "                    'step': 126,\n",
      "                    'total_loss': 0.997},\n",
      "             't': 1676355267},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.225,\n",
      "                    'localization_loss': 0.681,\n",
      "                    'log': 'INFO:tensorflow:Step 127 per-step time 1.585s '\n",
      "                           'total_loss=0.981, classification_loss=0.225, '\n",
      "                           'localization_loss=0.681, rpnObjectness_loss=0.056, '\n",
      "                           'rpnLocalization_loss=0.019, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.019,\n",
      "                    'rpn_objectness_loss': 0.056,\n",
      "                    'step': 127,\n",
      "                    'total_loss': 0.981},\n",
      "             't': 1676355269},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.484,\n",
      "                    'localization_loss': 0.555,\n",
      "                    'log': 'INFO:tensorflow:Step 128 per-step time 1.582s '\n",
      "                           'total_loss=1.133, classification_loss=0.484, '\n",
      "                           'localization_loss=0.555, rpnObjectness_loss=0.064, '\n",
      "                           'rpnLocalization_loss=0.030, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.03,\n",
      "                    'rpn_objectness_loss': 0.064,\n",
      "                    'step': 128,\n",
      "                    'total_loss': 1.133},\n",
      "             't': 1676355270},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.171,\n",
      "                    'localization_loss': 0.502,\n",
      "                    'log': 'INFO:tensorflow:Step 129 per-step time 1.570s '\n",
      "                           'total_loss=0.849, classification_loss=0.171, '\n",
      "                           'localization_loss=0.502, rpnObjectness_loss=0.079, '\n",
      "                           'rpnLocalization_loss=0.097, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.097,\n",
      "                    'rpn_objectness_loss': 0.079,\n",
      "                    'step': 129,\n",
      "                    'total_loss': 0.849},\n",
      "             't': 1676355272},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.234,\n",
      "                    'localization_loss': 0.647,\n",
      "                    'log': 'INFO:tensorflow:Step 130 per-step time 1.582s '\n",
      "                           'total_loss=0.920, classification_loss=0.234, '\n",
      "                           'localization_loss=0.647, rpnObjectness_loss=0.025, '\n",
      "                           'rpnLocalization_loss=0.014, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.014,\n",
      "                    'rpn_objectness_loss': 0.025,\n",
      "                    'step': 130,\n",
      "                    'total_loss': 0.92},\n",
      "             't': 1676355273},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.319,\n",
      "                    'localization_loss': 0.917,\n",
      "                    'log': 'INFO:tensorflow:Step 131 per-step time 1.572s '\n",
      "                           'total_loss=1.289, classification_loss=0.319, '\n",
      "                           'localization_loss=0.917, rpnObjectness_loss=0.025, '\n",
      "                           'rpnLocalization_loss=0.028, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.028,\n",
      "                    'rpn_objectness_loss': 0.025,\n",
      "                    'step': 131,\n",
      "                    'total_loss': 1.289},\n",
      "             't': 1676355275},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.267,\n",
      "                    'localization_loss': 0.707,\n",
      "                    'log': 'INFO:tensorflow:Step 132 per-step time 1.572s '\n",
      "                           'total_loss=1.022, classification_loss=0.267, '\n",
      "                           'localization_loss=0.707, rpnObjectness_loss=0.026, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.026,\n",
      "                    'step': 132,\n",
      "                    'total_loss': 1.022},\n",
      "             't': 1676355277},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.365,\n",
      "                    'localization_loss': 0.839,\n",
      "                    'log': 'INFO:tensorflow:Step 133 per-step time 1.581s '\n",
      "                           'total_loss=1.312, classification_loss=0.365, '\n",
      "                           'localization_loss=0.839, rpnObjectness_loss=0.051, '\n",
      "                           'rpnLocalization_loss=0.056, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.056,\n",
      "                    'rpn_objectness_loss': 0.051,\n",
      "                    'step': 133,\n",
      "                    'total_loss': 1.312},\n",
      "             't': 1676355278},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.24,\n",
      "                    'localization_loss': 0.321,\n",
      "                    'log': 'INFO:tensorflow:Step 134 per-step time 1.581s '\n",
      "                           'total_loss=0.968, classification_loss=0.240, '\n",
      "                           'localization_loss=0.321, rpnObjectness_loss=0.203, '\n",
      "                           'rpnLocalization_loss=0.203, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.203,\n",
      "                    'rpn_objectness_loss': 0.203,\n",
      "                    'step': 134,\n",
      "                    'total_loss': 0.968},\n",
      "             't': 1676355280},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.275,\n",
      "                    'localization_loss': 0.697,\n",
      "                    'log': 'INFO:tensorflow:Step 135 per-step time 1.582s '\n",
      "                           'total_loss=1.087, classification_loss=0.275, '\n",
      "                           'localization_loss=0.697, rpnObjectness_loss=0.057, '\n",
      "                           'rpnLocalization_loss=0.058, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.058,\n",
      "                    'rpn_objectness_loss': 0.057,\n",
      "                    'step': 135,\n",
      "                    'total_loss': 1.087},\n",
      "             't': 1676355281},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.179,\n",
      "                    'localization_loss': 0.491,\n",
      "                    'log': 'INFO:tensorflow:Step 136 per-step time 1.588s '\n",
      "                           'total_loss=0.715, classification_loss=0.179, '\n",
      "                           'localization_loss=0.491, rpnObjectness_loss=0.031, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.031,\n",
      "                    'step': 136,\n",
      "                    'total_loss': 0.715},\n",
      "             't': 1676355283},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.252,\n",
      "                    'localization_loss': 0.66,\n",
      "                    'log': 'INFO:tensorflow:Step 137 per-step time 1.581s '\n",
      "                           'total_loss=1.075, classification_loss=0.252, '\n",
      "                           'localization_loss=0.660, rpnObjectness_loss=0.067, '\n",
      "                           'rpnLocalization_loss=0.097, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.097,\n",
      "                    'rpn_objectness_loss': 0.067,\n",
      "                    'step': 137,\n",
      "                    'total_loss': 1.075},\n",
      "             't': 1676355284},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.423,\n",
      "                    'localization_loss': 0.699,\n",
      "                    'log': 'INFO:tensorflow:Step 138 per-step time 1.582s '\n",
      "                           'total_loss=1.185, classification_loss=0.423, '\n",
      "                           'localization_loss=0.699, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.033,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 138,\n",
      "                    'total_loss': 1.185},\n",
      "             't': 1676355286},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.547,\n",
      "                    'localization_loss': 0.17,\n",
      "                    'log': 'INFO:tensorflow:Step 139 per-step time 1.579s '\n",
      "                           'total_loss=3.417, classification_loss=0.547, '\n",
      "                           'localization_loss=0.170, rpnObjectness_loss=0.340, '\n",
      "                           'rpnLocalization_loss=2.362, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 2.362,\n",
      "                    'rpn_objectness_loss': 0.34,\n",
      "                    'step': 139,\n",
      "                    'total_loss': 3.417},\n",
      "             't': 1676355288},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.249,\n",
      "                    'localization_loss': 0.268,\n",
      "                    'log': 'INFO:tensorflow:Step 140 per-step time 1.574s '\n",
      "                           'total_loss=0.553, classification_loss=0.249, '\n",
      "                           'localization_loss=0.268, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.016, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.016,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 140,\n",
      "                    'total_loss': 0.553},\n",
      "             't': 1676355289},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.339,\n",
      "                    'localization_loss': 1.165,\n",
      "                    'log': 'INFO:tensorflow:Step 141 per-step time 1.575s '\n",
      "                           'total_loss=1.795, classification_loss=0.339, '\n",
      "                           'localization_loss=1.165, rpnObjectness_loss=0.091, '\n",
      "                           'rpnLocalization_loss=0.199, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.199,\n",
      "                    'rpn_objectness_loss': 0.091,\n",
      "                    'step': 141,\n",
      "                    'total_loss': 1.795},\n",
      "             't': 1676355291},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.267,\n",
      "                    'localization_loss': 0.472,\n",
      "                    'log': 'INFO:tensorflow:Step 142 per-step time 1.574s '\n",
      "                           'total_loss=0.879, classification_loss=0.267, '\n",
      "                           'localization_loss=0.472, rpnObjectness_loss=0.045, '\n",
      "                           'rpnLocalization_loss=0.095, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.095,\n",
      "                    'rpn_objectness_loss': 0.045,\n",
      "                    'step': 142,\n",
      "                    'total_loss': 0.879},\n",
      "             't': 1676355292},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.168,\n",
      "                    'localization_loss': 0.126,\n",
      "                    'log': 'INFO:tensorflow:Step 143 per-step time 1.571s '\n",
      "                           'total_loss=0.352, classification_loss=0.168, '\n",
      "                           'localization_loss=0.126, rpnObjectness_loss=0.023, '\n",
      "                           'rpnLocalization_loss=0.034, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.034,\n",
      "                    'rpn_objectness_loss': 0.023,\n",
      "                    'step': 143,\n",
      "                    'total_loss': 0.352},\n",
      "             't': 1676355294},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.339,\n",
      "                    'localization_loss': 0.619,\n",
      "                    'log': 'INFO:tensorflow:Step 144 per-step time 1.578s '\n",
      "                           'total_loss=1.061, classification_loss=0.339, '\n",
      "                           'localization_loss=0.619, rpnObjectness_loss=0.059, '\n",
      "                           'rpnLocalization_loss=0.046, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.046,\n",
      "                    'rpn_objectness_loss': 0.059,\n",
      "                    'step': 144,\n",
      "                    'total_loss': 1.061},\n",
      "             't': 1676355296},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.392,\n",
      "                    'localization_loss': 0.766,\n",
      "                    'log': 'INFO:tensorflow:Step 145 per-step time 1.576s '\n",
      "                           'total_loss=1.219, classification_loss=0.392, '\n",
      "                           'localization_loss=0.766, rpnObjectness_loss=0.035, '\n",
      "                           'rpnLocalization_loss=0.025, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.025,\n",
      "                    'rpn_objectness_loss': 0.035,\n",
      "                    'step': 145,\n",
      "                    'total_loss': 1.219},\n",
      "             't': 1676355297},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.158,\n",
      "                    'localization_loss': 0.331,\n",
      "                    'log': 'INFO:tensorflow:Step 146 per-step time 1.575s '\n",
      "                           'total_loss=1.036, classification_loss=0.158, '\n",
      "                           'localization_loss=0.331, rpnObjectness_loss=0.083, '\n",
      "                           'rpnLocalization_loss=0.463, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.463,\n",
      "                    'rpn_objectness_loss': 0.083,\n",
      "                    'step': 146,\n",
      "                    'total_loss': 1.036},\n",
      "             't': 1676355299},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.255,\n",
      "                    'localization_loss': 0.512,\n",
      "                    'log': 'INFO:tensorflow:Step 147 per-step time 1.582s '\n",
      "                           'total_loss=0.855, classification_loss=0.255, '\n",
      "                           'localization_loss=0.512, rpnObjectness_loss=0.063, '\n",
      "                           'rpnLocalization_loss=0.025, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.025,\n",
      "                    'rpn_objectness_loss': 0.063,\n",
      "                    'step': 147,\n",
      "                    'total_loss': 0.855},\n",
      "             't': 1676355300},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.61,\n",
      "                    'localization_loss': 0.887,\n",
      "                    'log': 'INFO:tensorflow:Step 148 per-step time 1.579s '\n",
      "                           'total_loss=4.105, classification_loss=0.610, '\n",
      "                           'localization_loss=0.887, rpnObjectness_loss=1.215, '\n",
      "                           'rpnLocalization_loss=1.394, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 1.394,\n",
      "                    'rpn_objectness_loss': 1.215,\n",
      "                    'step': 148,\n",
      "                    'total_loss': 4.105},\n",
      "             't': 1676355302},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.33,\n",
      "                    'localization_loss': 0.622,\n",
      "                    'log': 'INFO:tensorflow:Step 149 per-step time 1.586s '\n",
      "                           'total_loss=1.364, classification_loss=0.330, '\n",
      "                           'localization_loss=0.622, rpnObjectness_loss=0.222, '\n",
      "                           'rpnLocalization_loss=0.189, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.189,\n",
      "                    'rpn_objectness_loss': 0.222,\n",
      "                    'step': 149,\n",
      "                    'total_loss': 1.364},\n",
      "             't': 1676355303},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.261,\n",
      "                    'localization_loss': 0.536,\n",
      "                    'log': 'INFO:tensorflow:Step 150 per-step time 1.578s '\n",
      "                           'total_loss=1.019, classification_loss=0.261, '\n",
      "                           'localization_loss=0.536, rpnObjectness_loss=0.134, '\n",
      "                           'rpnLocalization_loss=0.089, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.089,\n",
      "                    'rpn_objectness_loss': 0.134,\n",
      "                    'step': 150,\n",
      "                    'total_loss': 1.019},\n",
      "             't': 1676355305},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.241,\n",
      "                    'localization_loss': 0.125,\n",
      "                    'log': 'INFO:tensorflow:Step 151 per-step time 1.568s '\n",
      "                           'total_loss=0.502, classification_loss=0.241, '\n",
      "                           'localization_loss=0.125, rpnObjectness_loss=0.110, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.11,\n",
      "                    'step': 151,\n",
      "                    'total_loss': 0.502},\n",
      "             't': 1676355307},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.322,\n",
      "                    'localization_loss': 0.716,\n",
      "                    'log': 'INFO:tensorflow:Step 152 per-step time 1.574s '\n",
      "                           'total_loss=1.125, classification_loss=0.322, '\n",
      "                           'localization_loss=0.716, rpnObjectness_loss=0.067, '\n",
      "                           'rpnLocalization_loss=0.020, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.02,\n",
      "                    'rpn_objectness_loss': 0.067,\n",
      "                    'step': 152,\n",
      "                    'total_loss': 1.125},\n",
      "             't': 1676355308},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.167,\n",
      "                    'localization_loss': 0.297,\n",
      "                    'log': 'INFO:tensorflow:Step 153 per-step time 1.580s '\n",
      "                           'total_loss=0.620, classification_loss=0.167, '\n",
      "                           'localization_loss=0.297, rpnObjectness_loss=0.074, '\n",
      "                           'rpnLocalization_loss=0.082, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.082,\n",
      "                    'rpn_objectness_loss': 0.074,\n",
      "                    'step': 153,\n",
      "                    'total_loss': 0.62},\n",
      "             't': 1676355310},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.16,\n",
      "                    'localization_loss': 0.443,\n",
      "                    'log': 'INFO:tensorflow:Step 154 per-step time 1.580s '\n",
      "                           'total_loss=0.679, classification_loss=0.160, '\n",
      "                           'localization_loss=0.443, rpnObjectness_loss=0.031, '\n",
      "                           'rpnLocalization_loss=0.046, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.046,\n",
      "                    'rpn_objectness_loss': 0.031,\n",
      "                    'step': 154,\n",
      "                    'total_loss': 0.679},\n",
      "             't': 1676355311},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.134,\n",
      "                    'localization_loss': 0.161,\n",
      "                    'log': 'INFO:tensorflow:Step 155 per-step time 1.582s '\n",
      "                           'total_loss=0.422, classification_loss=0.134, '\n",
      "                           'localization_loss=0.161, rpnObjectness_loss=0.051, '\n",
      "                           'rpnLocalization_loss=0.076, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.076,\n",
      "                    'rpn_objectness_loss': 0.051,\n",
      "                    'step': 155,\n",
      "                    'total_loss': 0.422},\n",
      "             't': 1676355313},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.307,\n",
      "                    'localization_loss': 0.323,\n",
      "                    'log': 'INFO:tensorflow:Step 156 per-step time 1.582s '\n",
      "                           'total_loss=0.687, classification_loss=0.307, '\n",
      "                           'localization_loss=0.323, rpnObjectness_loss=0.024, '\n",
      "                           'rpnLocalization_loss=0.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.033,\n",
      "                    'rpn_objectness_loss': 0.024,\n",
      "                    'step': 156,\n",
      "                    'total_loss': 0.687},\n",
      "             't': 1676355314},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.343,\n",
      "                    'localization_loss': 0.057,\n",
      "                    'log': 'INFO:tensorflow:Step 157 per-step time 1.571s '\n",
      "                           'total_loss=0.766, classification_loss=0.343, '\n",
      "                           'localization_loss=0.057, rpnObjectness_loss=0.219, '\n",
      "                           'rpnLocalization_loss=0.148, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.148,\n",
      "                    'rpn_objectness_loss': 0.219,\n",
      "                    'step': 157,\n",
      "                    'total_loss': 0.766},\n",
      "             't': 1676355316},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.206,\n",
      "                    'localization_loss': 0.633,\n",
      "                    'log': 'INFO:tensorflow:Step 158 per-step time 1.573s '\n",
      "                           'total_loss=0.896, classification_loss=0.206, '\n",
      "                           'localization_loss=0.633, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.030, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.03,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 158,\n",
      "                    'total_loss': 0.896},\n",
      "             't': 1676355318},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.206,\n",
      "                    'localization_loss': 0.498,\n",
      "                    'log': 'INFO:tensorflow:Step 159 per-step time 1.576s '\n",
      "                           'total_loss=0.825, classification_loss=0.206, '\n",
      "                           'localization_loss=0.498, rpnObjectness_loss=0.082, '\n",
      "                           'rpnLocalization_loss=0.039, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.039,\n",
      "                    'rpn_objectness_loss': 0.082,\n",
      "                    'step': 159,\n",
      "                    'total_loss': 0.825},\n",
      "             't': 1676355319},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.288,\n",
      "                    'localization_loss': 0.496,\n",
      "                    'log': 'INFO:tensorflow:Step 160 per-step time 1.583s '\n",
      "                           'total_loss=0.908, classification_loss=0.288, '\n",
      "                           'localization_loss=0.496, rpnObjectness_loss=0.096, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.096,\n",
      "                    'step': 160,\n",
      "                    'total_loss': 0.908},\n",
      "             't': 1676355321},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.263,\n",
      "                    'localization_loss': 0.526,\n",
      "                    'log': 'INFO:tensorflow:Step 161 per-step time 1.575s '\n",
      "                           'total_loss=0.851, classification_loss=0.263, '\n",
      "                           'localization_loss=0.526, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.025, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.025,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 161,\n",
      "                    'total_loss': 0.851},\n",
      "             't': 1676355322},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.131,\n",
      "                    'localization_loss': 0.265,\n",
      "                    'log': 'INFO:tensorflow:Step 162 per-step time 1.573s '\n",
      "                           'total_loss=0.546, classification_loss=0.131, '\n",
      "                           'localization_loss=0.265, rpnObjectness_loss=0.056, '\n",
      "                           'rpnLocalization_loss=0.093, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.093,\n",
      "                    'rpn_objectness_loss': 0.056,\n",
      "                    'step': 162,\n",
      "                    'total_loss': 0.546},\n",
      "             't': 1676355324},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.206,\n",
      "                    'localization_loss': 0.257,\n",
      "                    'log': 'INFO:tensorflow:Step 163 per-step time 1.576s '\n",
      "                           'total_loss=0.707, classification_loss=0.206, '\n",
      "                           'localization_loss=0.257, rpnObjectness_loss=0.126, '\n",
      "                           'rpnLocalization_loss=0.118, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.118,\n",
      "                    'rpn_objectness_loss': 0.126,\n",
      "                    'step': 163,\n",
      "                    'total_loss': 0.707},\n",
      "             't': 1676355325},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.245,\n",
      "                    'localization_loss': 0.518,\n",
      "                    'log': 'INFO:tensorflow:Step 164 per-step time 1.575s '\n",
      "                           'total_loss=0.850, classification_loss=0.245, '\n",
      "                           'localization_loss=0.518, rpnObjectness_loss=0.054, '\n",
      "                           'rpnLocalization_loss=0.034, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.034,\n",
      "                    'rpn_objectness_loss': 0.054,\n",
      "                    'step': 164,\n",
      "                    'total_loss': 0.85},\n",
      "             't': 1676355327},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.369,\n",
      "                    'localization_loss': 0.848,\n",
      "                    'log': 'INFO:tensorflow:Step 165 per-step time 1.586s '\n",
      "                           'total_loss=1.402, classification_loss=0.369, '\n",
      "                           'localization_loss=0.848, rpnObjectness_loss=0.134, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.134,\n",
      "                    'step': 165,\n",
      "                    'total_loss': 1.402},\n",
      "             't': 1676355329},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.148,\n",
      "                    'localization_loss': 0.326,\n",
      "                    'log': 'INFO:tensorflow:Step 166 per-step time 1.580s '\n",
      "                           'total_loss=0.566, classification_loss=0.148, '\n",
      "                           'localization_loss=0.326, rpnObjectness_loss=0.052, '\n",
      "                           'rpnLocalization_loss=0.039, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.039,\n",
      "                    'rpn_objectness_loss': 0.052,\n",
      "                    'step': 166,\n",
      "                    'total_loss': 0.566},\n",
      "             't': 1676355330},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.489,\n",
      "                    'localization_loss': 0.855,\n",
      "                    'log': 'INFO:tensorflow:Step 167 per-step time 1.584s '\n",
      "                           'total_loss=1.644, classification_loss=0.489, '\n",
      "                           'localization_loss=0.855, rpnObjectness_loss=0.128, '\n",
      "                           'rpnLocalization_loss=0.171, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.171,\n",
      "                    'rpn_objectness_loss': 0.128,\n",
      "                    'step': 167,\n",
      "                    'total_loss': 1.644},\n",
      "             't': 1676355332},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.199,\n",
      "                    'localization_loss': 0.505,\n",
      "                    'log': 'INFO:tensorflow:Step 168 per-step time 1.579s '\n",
      "                           'total_loss=0.796, classification_loss=0.199, '\n",
      "                           'localization_loss=0.505, rpnObjectness_loss=0.025, '\n",
      "                           'rpnLocalization_loss=0.067, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.067,\n",
      "                    'rpn_objectness_loss': 0.025,\n",
      "                    'step': 168,\n",
      "                    'total_loss': 0.796},\n",
      "             't': 1676355333},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.167,\n",
      "                    'localization_loss': 0.289,\n",
      "                    'log': 'INFO:tensorflow:Step 169 per-step time 1.579s '\n",
      "                           'total_loss=0.501, classification_loss=0.167, '\n",
      "                           'localization_loss=0.289, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.018, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.018,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 169,\n",
      "                    'total_loss': 0.501},\n",
      "             't': 1676355335},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.24,\n",
      "                    'localization_loss': 0.533,\n",
      "                    'log': 'INFO:tensorflow:Step 170 per-step time 1.587s '\n",
      "                           'total_loss=0.840, classification_loss=0.240, '\n",
      "                           'localization_loss=0.533, rpnObjectness_loss=0.024, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.024,\n",
      "                    'step': 170,\n",
      "                    'total_loss': 0.84},\n",
      "             't': 1676355337},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.214,\n",
      "                    'localization_loss': 0.553,\n",
      "                    'log': 'INFO:tensorflow:Step 171 per-step time 1.580s '\n",
      "                           'total_loss=1.451, classification_loss=0.214, '\n",
      "                           'localization_loss=0.553, rpnObjectness_loss=0.109, '\n",
      "                           'rpnLocalization_loss=0.576, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.576,\n",
      "                    'rpn_objectness_loss': 0.109,\n",
      "                    'step': 171,\n",
      "                    'total_loss': 1.451},\n",
      "             't': 1676355338},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.222,\n",
      "                    'localization_loss': 0.497,\n",
      "                    'log': 'INFO:tensorflow:Step 172 per-step time 1.575s '\n",
      "                           'total_loss=1.886, classification_loss=0.222, '\n",
      "                           'localization_loss=0.497, rpnObjectness_loss=0.254, '\n",
      "                           'rpnLocalization_loss=0.913, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.913,\n",
      "                    'rpn_objectness_loss': 0.254,\n",
      "                    'step': 172,\n",
      "                    'total_loss': 1.886},\n",
      "             't': 1676355340},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.225,\n",
      "                    'localization_loss': 0.407,\n",
      "                    'log': 'INFO:tensorflow:Step 173 per-step time 1.573s '\n",
      "                           'total_loss=1.076, classification_loss=0.225, '\n",
      "                           'localization_loss=0.407, rpnObjectness_loss=0.038, '\n",
      "                           'rpnLocalization_loss=0.405, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.405,\n",
      "                    'rpn_objectness_loss': 0.038,\n",
      "                    'step': 173,\n",
      "                    'total_loss': 1.076},\n",
      "             't': 1676355341},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.182,\n",
      "                    'localization_loss': 0.475,\n",
      "                    'log': 'INFO:tensorflow:Step 174 per-step time 1.577s '\n",
      "                           'total_loss=0.723, classification_loss=0.182, '\n",
      "                           'localization_loss=0.475, rpnObjectness_loss=0.032, '\n",
      "                           'rpnLocalization_loss=0.034, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.034,\n",
      "                    'rpn_objectness_loss': 0.032,\n",
      "                    'step': 174,\n",
      "                    'total_loss': 0.723},\n",
      "             't': 1676355343},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.225,\n",
      "                    'localization_loss': 0.445,\n",
      "                    'log': 'INFO:tensorflow:Step 175 per-step time 1.579s '\n",
      "                           'total_loss=0.721, classification_loss=0.225, '\n",
      "                           'localization_loss=0.445, rpnObjectness_loss=0.033, '\n",
      "                           'rpnLocalization_loss=0.018, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.018,\n",
      "                    'rpn_objectness_loss': 0.033,\n",
      "                    'step': 175,\n",
      "                    'total_loss': 0.721},\n",
      "             't': 1676355344},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.361,\n",
      "                    'localization_loss': 0.57,\n",
      "                    'log': 'INFO:tensorflow:Step 176 per-step time 1.578s '\n",
      "                           'total_loss=0.999, classification_loss=0.361, '\n",
      "                           'localization_loss=0.570, rpnObjectness_loss=0.034, '\n",
      "                           'rpnLocalization_loss=0.034, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.034,\n",
      "                    'rpn_objectness_loss': 0.034,\n",
      "                    'step': 176,\n",
      "                    'total_loss': 0.999},\n",
      "             't': 1676355346},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.272,\n",
      "                    'localization_loss': 0.537,\n",
      "                    'log': 'INFO:tensorflow:Step 177 per-step time 1.577s '\n",
      "                           'total_loss=0.907, classification_loss=0.272, '\n",
      "                           'localization_loss=0.537, rpnObjectness_loss=0.053, '\n",
      "                           'rpnLocalization_loss=0.045, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.045,\n",
      "                    'rpn_objectness_loss': 0.053,\n",
      "                    'step': 177,\n",
      "                    'total_loss': 0.907},\n",
      "             't': 1676355348},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.227,\n",
      "                    'localization_loss': 0.235,\n",
      "                    'log': 'INFO:tensorflow:Step 178 per-step time 1.574s '\n",
      "                           'total_loss=0.610, classification_loss=0.227, '\n",
      "                           'localization_loss=0.235, rpnObjectness_loss=0.088, '\n",
      "                           'rpnLocalization_loss=0.061, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.061,\n",
      "                    'rpn_objectness_loss': 0.088,\n",
      "                    'step': 178,\n",
      "                    'total_loss': 0.61},\n",
      "             't': 1676355349},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.263,\n",
      "                    'localization_loss': 0.526,\n",
      "                    'log': 'INFO:tensorflow:Step 179 per-step time 1.576s '\n",
      "                           'total_loss=0.879, classification_loss=0.263, '\n",
      "                           'localization_loss=0.526, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.063, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.063,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 179,\n",
      "                    'total_loss': 0.879},\n",
      "             't': 1676355351},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.296,\n",
      "                    'localization_loss': 0.6,\n",
      "                    'log': 'INFO:tensorflow:Step 180 per-step time 1.581s '\n",
      "                           'total_loss=0.923, classification_loss=0.296, '\n",
      "                           'localization_loss=0.600, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.014, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.014,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 180,\n",
      "                    'total_loss': 0.923},\n",
      "             't': 1676355352},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.118,\n",
      "                    'localization_loss': 0.154,\n",
      "                    'log': 'INFO:tensorflow:Step 181 per-step time 1.573s '\n",
      "                           'total_loss=0.388, classification_loss=0.118, '\n",
      "                           'localization_loss=0.154, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.080, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.08,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 181,\n",
      "                    'total_loss': 0.388},\n",
      "             't': 1676355354},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.148,\n",
      "                    'localization_loss': 0.233,\n",
      "                    'log': 'INFO:tensorflow:Step 182 per-step time 1.580s '\n",
      "                           'total_loss=0.608, classification_loss=0.148, '\n",
      "                           'localization_loss=0.233, rpnObjectness_loss=0.043, '\n",
      "                           'rpnLocalization_loss=0.184, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.184,\n",
      "                    'rpn_objectness_loss': 0.043,\n",
      "                    'step': 182,\n",
      "                    'total_loss': 0.608},\n",
      "             't': 1676355355},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.318,\n",
      "                    'localization_loss': 0.875,\n",
      "                    'log': 'INFO:tensorflow:Step 183 per-step time 1.576s '\n",
      "                           'total_loss=1.237, classification_loss=0.318, '\n",
      "                           'localization_loss=0.875, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.022, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.022,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 183,\n",
      "                    'total_loss': 1.237},\n",
      "             't': 1676355357},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.261,\n",
      "                    'localization_loss': 0.471,\n",
      "                    'log': 'INFO:tensorflow:Step 184 per-step time 1.585s '\n",
      "                           'total_loss=0.835, classification_loss=0.261, '\n",
      "                           'localization_loss=0.471, rpnObjectness_loss=0.023, '\n",
      "                           'rpnLocalization_loss=0.080, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.08,\n",
      "                    'rpn_objectness_loss': 0.023,\n",
      "                    'step': 184,\n",
      "                    'total_loss': 0.835},\n",
      "             't': 1676355359},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.266,\n",
      "                    'localization_loss': 0.64,\n",
      "                    'log': 'INFO:tensorflow:Step 185 per-step time 1.586s '\n",
      "                           'total_loss=1.170, classification_loss=0.266, '\n",
      "                           'localization_loss=0.640, rpnObjectness_loss=0.195, '\n",
      "                           'rpnLocalization_loss=0.069, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.069,\n",
      "                    'rpn_objectness_loss': 0.195,\n",
      "                    'step': 185,\n",
      "                    'total_loss': 1.17},\n",
      "             't': 1676355360},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.131,\n",
      "                    'localization_loss': 0.511,\n",
      "                    'log': 'INFO:tensorflow:Step 186 per-step time 1.580s '\n",
      "                           'total_loss=0.782, classification_loss=0.131, '\n",
      "                           'localization_loss=0.511, rpnObjectness_loss=0.022, '\n",
      "                           'rpnLocalization_loss=0.117, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.117,\n",
      "                    'rpn_objectness_loss': 0.022,\n",
      "                    'step': 186,\n",
      "                    'total_loss': 0.782},\n",
      "             't': 1676355362},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.15,\n",
      "                    'localization_loss': 0.224,\n",
      "                    'log': 'INFO:tensorflow:Step 187 per-step time 1.581s '\n",
      "                           'total_loss=0.417, classification_loss=0.150, '\n",
      "                           'localization_loss=0.224, rpnObjectness_loss=0.023, '\n",
      "                           'rpnLocalization_loss=0.020, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.02,\n",
      "                    'rpn_objectness_loss': 0.023,\n",
      "                    'step': 187,\n",
      "                    'total_loss': 0.417},\n",
      "             't': 1676355363},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.271,\n",
      "                    'localization_loss': 0.645,\n",
      "                    'log': 'INFO:tensorflow:Step 188 per-step time 1.585s '\n",
      "                           'total_loss=1.047, classification_loss=0.271, '\n",
      "                           'localization_loss=0.645, rpnObjectness_loss=0.041, '\n",
      "                           'rpnLocalization_loss=0.089, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.089,\n",
      "                    'rpn_objectness_loss': 0.041,\n",
      "                    'step': 188,\n",
      "                    'total_loss': 1.047},\n",
      "             't': 1676355365},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.232,\n",
      "                    'localization_loss': 0.344,\n",
      "                    'log': 'INFO:tensorflow:Step 189 per-step time 1.578s '\n",
      "                           'total_loss=0.636, classification_loss=0.232, '\n",
      "                           'localization_loss=0.344, rpnObjectness_loss=0.042, '\n",
      "                           'rpnLocalization_loss=0.018, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.018,\n",
      "                    'rpn_objectness_loss': 0.042,\n",
      "                    'step': 189,\n",
      "                    'total_loss': 0.636},\n",
      "             't': 1676355367},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.128,\n",
      "                    'localization_loss': 0.205,\n",
      "                    'log': 'INFO:tensorflow:Step 190 per-step time 1.580s '\n",
      "                           'total_loss=0.419, classification_loss=0.128, '\n",
      "                           'localization_loss=0.205, rpnObjectness_loss=0.028, '\n",
      "                           'rpnLocalization_loss=0.058, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.058,\n",
      "                    'rpn_objectness_loss': 0.028,\n",
      "                    'step': 190,\n",
      "                    'total_loss': 0.419},\n",
      "             't': 1676355368},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.223,\n",
      "                    'localization_loss': 0.467,\n",
      "                    'log': 'INFO:tensorflow:Step 191 per-step time 1.585s '\n",
      "                           'total_loss=0.776, classification_loss=0.223, '\n",
      "                           'localization_loss=0.467, rpnObjectness_loss=0.059, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.059,\n",
      "                    'step': 191,\n",
      "                    'total_loss': 0.776},\n",
      "             't': 1676355370},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.236,\n",
      "                    'localization_loss': 0.656,\n",
      "                    'log': 'INFO:tensorflow:Step 192 per-step time 1.583s '\n",
      "                           'total_loss=0.940, classification_loss=0.236, '\n",
      "                           'localization_loss=0.656, rpnObjectness_loss=0.022, '\n",
      "                           'rpnLocalization_loss=0.026, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.026,\n",
      "                    'rpn_objectness_loss': 0.022,\n",
      "                    'step': 192,\n",
      "                    'total_loss': 0.94},\n",
      "             't': 1676355371},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.439,\n",
      "                    'localization_loss': 1.055,\n",
      "                    'log': 'INFO:tensorflow:Step 193 per-step time 1.577s '\n",
      "                           'total_loss=1.717, classification_loss=0.439, '\n",
      "                           'localization_loss=1.055, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.183, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.183,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 193,\n",
      "                    'total_loss': 1.717},\n",
      "             't': 1676355373},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.157,\n",
      "                    'localization_loss': 0.199,\n",
      "                    'log': 'INFO:tensorflow:Step 194 per-step time 1.585s '\n",
      "                           'total_loss=0.402, classification_loss=0.157, '\n",
      "                           'localization_loss=0.199, rpnObjectness_loss=0.017, '\n",
      "                           'rpnLocalization_loss=0.030, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.03,\n",
      "                    'rpn_objectness_loss': 0.017,\n",
      "                    'step': 194,\n",
      "                    'total_loss': 0.402},\n",
      "             't': 1676355374},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.226,\n",
      "                    'localization_loss': 0.476,\n",
      "                    'log': 'INFO:tensorflow:Step 195 per-step time 1.580s '\n",
      "                           'total_loss=0.796, classification_loss=0.226, '\n",
      "                           'localization_loss=0.476, rpnObjectness_loss=0.034, '\n",
      "                           'rpnLocalization_loss=0.060, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.06,\n",
      "                    'rpn_objectness_loss': 0.034,\n",
      "                    'step': 195,\n",
      "                    'total_loss': 0.796},\n",
      "             't': 1676355376},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.246,\n",
      "                    'localization_loss': 0.422,\n",
      "                    'log': 'INFO:tensorflow:Step 196 per-step time 1.579s '\n",
      "                           'total_loss=0.761, classification_loss=0.246, '\n",
      "                           'localization_loss=0.422, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.056, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.056,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 196,\n",
      "                    'total_loss': 0.761},\n",
      "             't': 1676355378},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.278,\n",
      "                    'localization_loss': 0.367,\n",
      "                    'log': 'INFO:tensorflow:Step 197 per-step time 1.575s '\n",
      "                           'total_loss=0.688, classification_loss=0.278, '\n",
      "                           'localization_loss=0.367, rpnObjectness_loss=0.009, '\n",
      "                           'rpnLocalization_loss=0.033, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.033,\n",
      "                    'rpn_objectness_loss': 0.009,\n",
      "                    'step': 197,\n",
      "                    'total_loss': 0.688},\n",
      "             't': 1676355379},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.288,\n",
      "                    'localization_loss': 0.646,\n",
      "                    'log': 'INFO:tensorflow:Step 198 per-step time 1.583s '\n",
      "                           'total_loss=1.009, classification_loss=0.288, '\n",
      "                           'localization_loss=0.646, rpnObjectness_loss=0.029, '\n",
      "                           'rpnLocalization_loss=0.046, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.046,\n",
      "                    'rpn_objectness_loss': 0.029,\n",
      "                    'step': 198,\n",
      "                    'total_loss': 1.009},\n",
      "             't': 1676355381},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.331,\n",
      "                    'localization_loss': 1.023,\n",
      "                    'log': 'INFO:tensorflow:Step 199 per-step time 1.585s '\n",
      "                           'total_loss=1.455, classification_loss=0.331, '\n",
      "                           'localization_loss=1.023, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.074, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.074,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 199,\n",
      "                    'total_loss': 1.455},\n",
      "             't': 1676355382},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.203,\n",
      "                    'localization_loss': 0.247,\n",
      "                    'log': 'INFO:tensorflow:Step 200 per-step time 1.581s '\n",
      "                           'total_loss=0.565, classification_loss=0.203, '\n",
      "                           'localization_loss=0.247, rpnObjectness_loss=0.068, '\n",
      "                           'rpnLocalization_loss=0.048, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.048,\n",
      "                    'rpn_objectness_loss': 0.068,\n",
      "                    'step': 200,\n",
      "                    'total_loss': 0.565},\n",
      "             't': 1676355384},\n",
      "            {'ev': 'evaluationCheckpoint',\n",
      "             'pl': {'average_precision': 0.040919,\n",
      "                    'average_precision.50_iou': 0.136247,\n",
      "                    'average_precision.75_iou': 0.006741,\n",
      "                    'average_recall1': 0.052353,\n",
      "                    'average_recall10': 0.108824,\n",
      "                    'average_recall100': 0.115882,\n",
      "                    'classification_loss': 0.123807,\n",
      "                    'large_average_precision': 0.125373,\n",
      "                    'large_average_recall100': 0.363399,\n",
      "                    'localization_loss': 0.090042,\n",
      "                    'log': 'Loading and preparing annotation results...\\n'\n",
      "                           'INFO:tensorflow:Eval metrics at step 200\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP: '\n",
      "                           '0.040919\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.50IOU: 0.136247\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.75IOU: 0.006741\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(small): 0.000660\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(medium): 0.019150\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(large): 0.125373\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@1: '\n",
      "                           '0.052353\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@10: '\n",
      "                           '0.108824\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100: '\n",
      "                           '0.115882\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(small): 0.000714\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(medium): 0.042857\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(large): 0.363399\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnLocalization_loss: '\n",
      "                           '0.157515\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnObjectness_loss: '\n",
      "                           '0.086391\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/localization_loss: '\n",
      "                           '0.090042\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/classification_loss: '\n",
      "                           '0.123807\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/regularization_loss: '\n",
      "                           '0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/total_loss: 0.457755\\n'\n",
      "                           'INFO:tensorflow:Waiting for new checkpoint at '\n",
      "                           '***\\n',\n",
      "                    'medium_average_precision': 0.01915,\n",
      "                    'medium_average_recall100': 0.042857,\n",
      "                    'regularization_loss': 0,\n",
      "                    'rpn_localization_loss': 0.157515,\n",
      "                    'rpn_objectness_loss': 0.086391,\n",
      "                    'small_average_precision': 0.00066,\n",
      "                    'small_average_recall100': 0.000714,\n",
      "                    'step': 200,\n",
      "                    'total_loss': 0.457755},\n",
      "             't': 1676355512},\n",
      "            {'ev': 'artifactAuthorized',\n",
      "             'pl': {'artifact_id': '63eb27b8b03587e371e78401',\n",
      "                    'name': 'ckpt-3'},\n",
      "             't': 1676355512},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.34,\n",
      "                    'localization_loss': 0.585,\n",
      "                    'log': 'INFO:tensorflow:Step 201 per-step time 129.453s '\n",
      "                           'total_loss=1.036, classification_loss=0.340, '\n",
      "                           'localization_loss=0.585, rpnObjectness_loss=0.062, '\n",
      "                           'rpnLocalization_loss=0.049, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.049,\n",
      "                    'rpn_objectness_loss': 0.062,\n",
      "                    'step': 201,\n",
      "                    'total_loss': 1.036},\n",
      "             't': 1676355513},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.314,\n",
      "                    'localization_loss': 0.788,\n",
      "                    'log': 'INFO:tensorflow:Step 202 per-step time 1.583s '\n",
      "                           'total_loss=1.521, classification_loss=0.314, '\n",
      "                           'localization_loss=0.788, rpnObjectness_loss=0.178, '\n",
      "                           'rpnLocalization_loss=0.242, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.242,\n",
      "                    'rpn_objectness_loss': 0.178,\n",
      "                    'step': 202,\n",
      "                    'total_loss': 1.521},\n",
      "             't': 1676355515},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.137,\n",
      "                    'localization_loss': 0.201,\n",
      "                    'log': 'INFO:tensorflow:Step 203 per-step time 1.598s '\n",
      "                           'total_loss=0.451, classification_loss=0.137, '\n",
      "                           'localization_loss=0.201, rpnObjectness_loss=0.065, '\n",
      "                           'rpnLocalization_loss=0.048, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.048,\n",
      "                    'rpn_objectness_loss': 0.065,\n",
      "                    'step': 203,\n",
      "                    'total_loss': 0.451},\n",
      "             't': 1676355517},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.242,\n",
      "                    'localization_loss': 0.175,\n",
      "                    'log': 'INFO:tensorflow:Step 204 per-step time 1.588s '\n",
      "                           'total_loss=0.698, classification_loss=0.242, '\n",
      "                           'localization_loss=0.175, rpnObjectness_loss=0.100, '\n",
      "                           'rpnLocalization_loss=0.181, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.181,\n",
      "                    'rpn_objectness_loss': 0.1,\n",
      "                    'step': 204,\n",
      "                    'total_loss': 0.698},\n",
      "             't': 1676355518},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.253,\n",
      "                    'localization_loss': 0.697,\n",
      "                    'log': 'INFO:tensorflow:Step 205 per-step time 1.587s '\n",
      "                           'total_loss=1.048, classification_loss=0.253, '\n",
      "                           'localization_loss=0.697, rpnObjectness_loss=0.047, '\n",
      "                           'rpnLocalization_loss=0.051, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.051,\n",
      "                    'rpn_objectness_loss': 0.047,\n",
      "                    'step': 205,\n",
      "                    'total_loss': 1.048},\n",
      "             't': 1676355520},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.15,\n",
      "                    'localization_loss': 0.257,\n",
      "                    'log': 'INFO:tensorflow:Step 206 per-step time 1.588s '\n",
      "                           'total_loss=0.520, classification_loss=0.150, '\n",
      "                           'localization_loss=0.257, rpnObjectness_loss=0.046, '\n",
      "                           'rpnLocalization_loss=0.068, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.068,\n",
      "                    'rpn_objectness_loss': 0.046,\n",
      "                    'step': 206,\n",
      "                    'total_loss': 0.52},\n",
      "             't': 1676355521},\n",
      "            {'ev': 'artifactUploaded',\n",
      "             'pl': {'artifact_id': '63eb27b8b03587e371e78401',\n",
      "                    'files': [{'md5': '046154d750ceff58fcc78f5d8346f4de',\n",
      "                               'name': 'ckpt-3.index'},\n",
      "                              {'md5': '106001c4a35f919d357711dd82a14a0f',\n",
      "                               'name': 'ckpt-3.data-00000-of-00001'}]},\n",
      "             't': 1676355523},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.272,\n",
      "                    'localization_loss': 0.645,\n",
      "                    'log': 'INFO:tensorflow:Step 207 per-step time 1.585s '\n",
      "                           'total_loss=1.020, classification_loss=0.272, '\n",
      "                           'localization_loss=0.645, rpnObjectness_loss=0.060, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.06,\n",
      "                    'step': 207,\n",
      "                    'total_loss': 1.02},\n",
      "             't': 1676355523},\n",
      "            {'ev': 'artifactRemoved',\n",
      "             'pl': {'artifact_id': '63eb269ab03587e371e77ff5',\n",
      "                    'by': '63eb27b8b03587e371e78401',\n",
      "                    'reason': 'replaced'},\n",
      "             't': 1676355524},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.255,\n",
      "                    'localization_loss': 0.423,\n",
      "                    'log': 'INFO:tensorflow:Step 208 per-step time 1.595s '\n",
      "                           'total_loss=0.731, classification_loss=0.255, '\n",
      "                           'localization_loss=0.423, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.022, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.022,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 208,\n",
      "                    'total_loss': 0.731},\n",
      "             't': 1676355524},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.358,\n",
      "                    'localization_loss': 0.537,\n",
      "                    'log': 'INFO:tensorflow:Step 209 per-step time 1.588s '\n",
      "                           'total_loss=0.946, classification_loss=0.358, '\n",
      "                           'localization_loss=0.537, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 209,\n",
      "                    'total_loss': 0.946},\n",
      "             't': 1676355526},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.032,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 210 per-step time 1.585s '\n",
      "                           'total_loss=0.495, classification_loss=0.032, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.106, '\n",
      "                           'rpnLocalization_loss=0.357, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.357,\n",
      "                    'rpn_objectness_loss': 0.106,\n",
      "                    'step': 210,\n",
      "                    'total_loss': 0.495},\n",
      "             't': 1676355528},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.246,\n",
      "                    'localization_loss': 0.61,\n",
      "                    'log': 'INFO:tensorflow:Step 211 per-step time 1.593s '\n",
      "                           'total_loss=1.029, classification_loss=0.246, '\n",
      "                           'localization_loss=0.610, rpnObjectness_loss=0.068, '\n",
      "                           'rpnLocalization_loss=0.106, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.106,\n",
      "                    'rpn_objectness_loss': 0.068,\n",
      "                    'step': 211,\n",
      "                    'total_loss': 1.029},\n",
      "             't': 1676355529},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.308,\n",
      "                    'localization_loss': 0.766,\n",
      "                    'log': 'INFO:tensorflow:Step 212 per-step time 1.584s '\n",
      "                           'total_loss=1.200, classification_loss=0.308, '\n",
      "                           'localization_loss=0.766, rpnObjectness_loss=0.063, '\n",
      "                           'rpnLocalization_loss=0.062, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.062,\n",
      "                    'rpn_objectness_loss': 0.063,\n",
      "                    'step': 212,\n",
      "                    'total_loss': 1.2},\n",
      "             't': 1676355531},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.17,\n",
      "                    'localization_loss': 0.322,\n",
      "                    'log': 'INFO:tensorflow:Step 213 per-step time 1.595s '\n",
      "                           'total_loss=0.519, classification_loss=0.170, '\n",
      "                           'localization_loss=0.322, rpnObjectness_loss=0.011, '\n",
      "                           'rpnLocalization_loss=0.016, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.016,\n",
      "                    'rpn_objectness_loss': 0.011,\n",
      "                    'step': 213,\n",
      "                    'total_loss': 0.519},\n",
      "             't': 1676355532},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.251,\n",
      "                    'localization_loss': 0.475,\n",
      "                    'log': 'INFO:tensorflow:Step 214 per-step time 1.586s '\n",
      "                           'total_loss=0.822, classification_loss=0.251, '\n",
      "                           'localization_loss=0.475, rpnObjectness_loss=0.049, '\n",
      "                           'rpnLocalization_loss=0.047, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.047,\n",
      "                    'rpn_objectness_loss': 0.049,\n",
      "                    'step': 214,\n",
      "                    'total_loss': 0.822},\n",
      "             't': 1676355534},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.292,\n",
      "                    'localization_loss': 0.631,\n",
      "                    'log': 'INFO:tensorflow:Step 215 per-step time 1.581s '\n",
      "                           'total_loss=0.969, classification_loss=0.292, '\n",
      "                           'localization_loss=0.631, rpnObjectness_loss=0.017, '\n",
      "                           'rpnLocalization_loss=0.029, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.029,\n",
      "                    'rpn_objectness_loss': 0.017,\n",
      "                    'step': 215,\n",
      "                    'total_loss': 0.969},\n",
      "             't': 1676355536},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.282,\n",
      "                    'localization_loss': 0.705,\n",
      "                    'log': 'INFO:tensorflow:Step 216 per-step time 1.590s '\n",
      "                           'total_loss=1.043, classification_loss=0.282, '\n",
      "                           'localization_loss=0.705, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.036, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.036,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 216,\n",
      "                    'total_loss': 1.043},\n",
      "             't': 1676355537},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.15,\n",
      "                    'localization_loss': 0.353,\n",
      "                    'log': 'INFO:tensorflow:Step 217 per-step time 1.585s '\n",
      "                           'total_loss=0.581, classification_loss=0.150, '\n",
      "                           'localization_loss=0.353, rpnObjectness_loss=0.032, '\n",
      "                           'rpnLocalization_loss=0.046, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.046,\n",
      "                    'rpn_objectness_loss': 0.032,\n",
      "                    'step': 217,\n",
      "                    'total_loss': 0.581},\n",
      "             't': 1676355539},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.121,\n",
      "                    'localization_loss': 0.193,\n",
      "                    'log': 'INFO:tensorflow:Step 218 per-step time 1.580s '\n",
      "                           'total_loss=0.446, classification_loss=0.121, '\n",
      "                           'localization_loss=0.193, rpnObjectness_loss=0.051, '\n",
      "                           'rpnLocalization_loss=0.081, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.081,\n",
      "                    'rpn_objectness_loss': 0.051,\n",
      "                    'step': 218,\n",
      "                    'total_loss': 0.446},\n",
      "             't': 1676355540},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.165,\n",
      "                    'localization_loss': 0.258,\n",
      "                    'log': 'INFO:tensorflow:Step 219 per-step time 1.589s '\n",
      "                           'total_loss=0.828, classification_loss=0.165, '\n",
      "                           'localization_loss=0.258, rpnObjectness_loss=0.129, '\n",
      "                           'rpnLocalization_loss=0.275, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.275,\n",
      "                    'rpn_objectness_loss': 0.129,\n",
      "                    'step': 219,\n",
      "                    'total_loss': 0.828},\n",
      "             't': 1676355542},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.262,\n",
      "                    'localization_loss': 0.55,\n",
      "                    'log': 'INFO:tensorflow:Step 220 per-step time 1.594s '\n",
      "                           'total_loss=1.023, classification_loss=0.262, '\n",
      "                           'localization_loss=0.550, rpnObjectness_loss=0.103, '\n",
      "                           'rpnLocalization_loss=0.108, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.108,\n",
      "                    'rpn_objectness_loss': 0.103,\n",
      "                    'step': 220,\n",
      "                    'total_loss': 1.023},\n",
      "             't': 1676355544},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.35,\n",
      "                    'localization_loss': 0.411,\n",
      "                    'log': 'INFO:tensorflow:Step 221 per-step time 1.583s '\n",
      "                           'total_loss=0.794, classification_loss=0.350, '\n",
      "                           'localization_loss=0.411, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 221,\n",
      "                    'total_loss': 0.794},\n",
      "             't': 1676355545},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.289,\n",
      "                    'localization_loss': 0.57,\n",
      "                    'log': 'INFO:tensorflow:Step 222 per-step time 1.581s '\n",
      "                           'total_loss=0.946, classification_loss=0.289, '\n",
      "                           'localization_loss=0.570, rpnObjectness_loss=0.042, '\n",
      "                           'rpnLocalization_loss=0.045, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.045,\n",
      "                    'rpn_objectness_loss': 0.042,\n",
      "                    'step': 222,\n",
      "                    'total_loss': 0.946},\n",
      "             't': 1676355547},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.272,\n",
      "                    'localization_loss': 0.273,\n",
      "                    'log': 'INFO:tensorflow:Step 223 per-step time 1.581s '\n",
      "                           'total_loss=0.624, classification_loss=0.272, '\n",
      "                           'localization_loss=0.273, rpnObjectness_loss=0.048, '\n",
      "                           'rpnLocalization_loss=0.030, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.03,\n",
      "                    'rpn_objectness_loss': 0.048,\n",
      "                    'step': 223,\n",
      "                    'total_loss': 0.624},\n",
      "             't': 1676355548},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.171,\n",
      "                    'localization_loss': 0.282,\n",
      "                    'log': 'INFO:tensorflow:Step 224 per-step time 1.583s '\n",
      "                           'total_loss=0.488, classification_loss=0.171, '\n",
      "                           'localization_loss=0.282, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.022, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.022,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 224,\n",
      "                    'total_loss': 0.488},\n",
      "             't': 1676355550},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.208,\n",
      "                    'localization_loss': 0.419,\n",
      "                    'log': 'INFO:tensorflow:Step 225 per-step time 1.586s '\n",
      "                           'total_loss=0.879, classification_loss=0.208, '\n",
      "                           'localization_loss=0.419, rpnObjectness_loss=0.069, '\n",
      "                           'rpnLocalization_loss=0.182, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.182,\n",
      "                    'rpn_objectness_loss': 0.069,\n",
      "                    'step': 225,\n",
      "                    'total_loss': 0.879},\n",
      "             't': 1676355551},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.08,\n",
      "                    'localization_loss': 0.386,\n",
      "                    'log': 'INFO:tensorflow:Step 226 per-step time 1.583s '\n",
      "                           'total_loss=1.983, classification_loss=0.080, '\n",
      "                           'localization_loss=0.386, rpnObjectness_loss=0.480, '\n",
      "                           'rpnLocalization_loss=1.036, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 1.036,\n",
      "                    'rpn_objectness_loss': 0.48,\n",
      "                    'step': 226,\n",
      "                    'total_loss': 1.983},\n",
      "             't': 1676355553},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.121,\n",
      "                    'localization_loss': 0.079,\n",
      "                    'log': 'INFO:tensorflow:Step 227 per-step time 1.578s '\n",
      "                           'total_loss=0.373, classification_loss=0.121, '\n",
      "                           'localization_loss=0.079, rpnObjectness_loss=0.064, '\n",
      "                           'rpnLocalization_loss=0.109, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.109,\n",
      "                    'rpn_objectness_loss': 0.064,\n",
      "                    'step': 227,\n",
      "                    'total_loss': 0.373},\n",
      "             't': 1676355555},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.482,\n",
      "                    'localization_loss': 0.853,\n",
      "                    'log': 'INFO:tensorflow:Step 228 per-step time 1.586s '\n",
      "                           'total_loss=1.471, classification_loss=0.482, '\n",
      "                           'localization_loss=0.853, rpnObjectness_loss=0.077, '\n",
      "                           'rpnLocalization_loss=0.059, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.059,\n",
      "                    'rpn_objectness_loss': 0.077,\n",
      "                    'step': 228,\n",
      "                    'total_loss': 1.471},\n",
      "             't': 1676355556},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.108,\n",
      "                    'localization_loss': 0.154,\n",
      "                    'log': 'INFO:tensorflow:Step 229 per-step time 1.584s '\n",
      "                           'total_loss=0.457, classification_loss=0.108, '\n",
      "                           'localization_loss=0.154, rpnObjectness_loss=0.132, '\n",
      "                           'rpnLocalization_loss=0.062, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.062,\n",
      "                    'rpn_objectness_loss': 0.132,\n",
      "                    'step': 229,\n",
      "                    'total_loss': 0.457},\n",
      "             't': 1676355558},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.315,\n",
      "                    'localization_loss': 0.4,\n",
      "                    'log': 'INFO:tensorflow:Step 230 per-step time 1.585s '\n",
      "                           'total_loss=0.824, classification_loss=0.315, '\n",
      "                           'localization_loss=0.400, rpnObjectness_loss=0.047, '\n",
      "                           'rpnLocalization_loss=0.063, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.063,\n",
      "                    'rpn_objectness_loss': 0.047,\n",
      "                    'step': 230,\n",
      "                    'total_loss': 0.824},\n",
      "             't': 1676355559},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.31,\n",
      "                    'localization_loss': 0.407,\n",
      "                    'log': 'INFO:tensorflow:Step 231 per-step time 1.578s '\n",
      "                           'total_loss=0.817, classification_loss=0.310, '\n",
      "                           'localization_loss=0.407, rpnObjectness_loss=0.031, '\n",
      "                           'rpnLocalization_loss=0.070, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.07,\n",
      "                    'rpn_objectness_loss': 0.031,\n",
      "                    'step': 231,\n",
      "                    'total_loss': 0.817},\n",
      "             't': 1676355561},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.281,\n",
      "                    'localization_loss': 0.627,\n",
      "                    'log': 'INFO:tensorflow:Step 232 per-step time 1.585s '\n",
      "                           'total_loss=1.027, classification_loss=0.281, '\n",
      "                           'localization_loss=0.627, rpnObjectness_loss=0.042, '\n",
      "                           'rpnLocalization_loss=0.077, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.077,\n",
      "                    'rpn_objectness_loss': 0.042,\n",
      "                    'step': 232,\n",
      "                    'total_loss': 1.027},\n",
      "             't': 1676355563},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.165,\n",
      "                    'localization_loss': 0.239,\n",
      "                    'log': 'INFO:tensorflow:Step 233 per-step time 1.581s '\n",
      "                           'total_loss=0.491, classification_loss=0.165, '\n",
      "                           'localization_loss=0.239, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.047, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.047,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 233,\n",
      "                    'total_loss': 0.491},\n",
      "             't': 1676355564},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.19,\n",
      "                    'localization_loss': 0.215,\n",
      "                    'log': 'INFO:tensorflow:Step 234 per-step time 1.582s '\n",
      "                           'total_loss=1.067, classification_loss=0.190, '\n",
      "                           'localization_loss=0.215, rpnObjectness_loss=0.135, '\n",
      "                           'rpnLocalization_loss=0.527, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.527,\n",
      "                    'rpn_objectness_loss': 0.135,\n",
      "                    'step': 234,\n",
      "                    'total_loss': 1.067},\n",
      "             't': 1676355566},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.124,\n",
      "                    'localization_loss': 0.239,\n",
      "                    'log': 'INFO:tensorflow:Step 235 per-step time 1.578s '\n",
      "                           'total_loss=0.485, classification_loss=0.124, '\n",
      "                           'localization_loss=0.239, rpnObjectness_loss=0.038, '\n",
      "                           'rpnLocalization_loss=0.084, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.084,\n",
      "                    'rpn_objectness_loss': 0.038,\n",
      "                    'step': 235,\n",
      "                    'total_loss': 0.485},\n",
      "             't': 1676355567},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.197,\n",
      "                    'localization_loss': 0.269,\n",
      "                    'log': 'INFO:tensorflow:Step 236 per-step time 1.582s '\n",
      "                           'total_loss=0.540, classification_loss=0.197, '\n",
      "                           'localization_loss=0.269, rpnObjectness_loss=0.046, '\n",
      "                           'rpnLocalization_loss=0.028, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.028,\n",
      "                    'rpn_objectness_loss': 0.046,\n",
      "                    'step': 236,\n",
      "                    'total_loss': 0.54},\n",
      "             't': 1676355569},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.259,\n",
      "                    'localization_loss': 0.319,\n",
      "                    'log': 'INFO:tensorflow:Step 237 per-step time 1.580s '\n",
      "                           'total_loss=0.678, classification_loss=0.259, '\n",
      "                           'localization_loss=0.319, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.060, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.06,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 237,\n",
      "                    'total_loss': 0.678},\n",
      "             't': 1676355570},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.248,\n",
      "                    'localization_loss': 0.173,\n",
      "                    'log': 'INFO:tensorflow:Step 238 per-step time 1.581s '\n",
      "                           'total_loss=0.803, classification_loss=0.248, '\n",
      "                           'localization_loss=0.173, rpnObjectness_loss=0.144, '\n",
      "                           'rpnLocalization_loss=0.237, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.237,\n",
      "                    'rpn_objectness_loss': 0.144,\n",
      "                    'step': 238,\n",
      "                    'total_loss': 0.803},\n",
      "             't': 1676355572},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.284,\n",
      "                    'localization_loss': 0.559,\n",
      "                    'log': 'INFO:tensorflow:Step 239 per-step time 1.579s '\n",
      "                           'total_loss=0.949, classification_loss=0.284, '\n",
      "                           'localization_loss=0.559, rpnObjectness_loss=0.038, '\n",
      "                           'rpnLocalization_loss=0.069, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.069,\n",
      "                    'rpn_objectness_loss': 0.038,\n",
      "                    'step': 239,\n",
      "                    'total_loss': 0.949},\n",
      "             't': 1676355574},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.121,\n",
      "                    'localization_loss': 0.308,\n",
      "                    'log': 'INFO:tensorflow:Step 240 per-step time 1.584s '\n",
      "                           'total_loss=0.476, classification_loss=0.121, '\n",
      "                           'localization_loss=0.308, rpnObjectness_loss=0.027, '\n",
      "                           'rpnLocalization_loss=0.020, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.02,\n",
      "                    'rpn_objectness_loss': 0.027,\n",
      "                    'step': 240,\n",
      "                    'total_loss': 0.476},\n",
      "             't': 1676355575},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.164,\n",
      "                    'localization_loss': 0.248,\n",
      "                    'log': 'INFO:tensorflow:Step 241 per-step time 1.584s '\n",
      "                           'total_loss=0.535, classification_loss=0.164, '\n",
      "                           'localization_loss=0.248, rpnObjectness_loss=0.057, '\n",
      "                           'rpnLocalization_loss=0.066, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.066,\n",
      "                    'rpn_objectness_loss': 0.057,\n",
      "                    'step': 241,\n",
      "                    'total_loss': 0.535},\n",
      "             't': 1676355577},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.112,\n",
      "                    'localization_loss': 0.18,\n",
      "                    'log': 'INFO:tensorflow:Step 242 per-step time 1.575s '\n",
      "                           'total_loss=0.370, classification_loss=0.112, '\n",
      "                           'localization_loss=0.180, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.048, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.048,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 242,\n",
      "                    'total_loss': 0.37},\n",
      "             't': 1676355578},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.225,\n",
      "                    'localization_loss': 0.412,\n",
      "                    'log': 'INFO:tensorflow:Step 243 per-step time 1.574s '\n",
      "                           'total_loss=0.720, classification_loss=0.225, '\n",
      "                           'localization_loss=0.412, rpnObjectness_loss=0.031, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.031,\n",
      "                    'step': 243,\n",
      "                    'total_loss': 0.72},\n",
      "             't': 1676355580},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.309,\n",
      "                    'localization_loss': 0.396,\n",
      "                    'log': 'INFO:tensorflow:Step 244 per-step time 1.572s '\n",
      "                           'total_loss=0.779, classification_loss=0.309, '\n",
      "                           'localization_loss=0.396, rpnObjectness_loss=0.030, '\n",
      "                           'rpnLocalization_loss=0.043, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.043,\n",
      "                    'rpn_objectness_loss': 0.03,\n",
      "                    'step': 244,\n",
      "                    'total_loss': 0.779},\n",
      "             't': 1676355581},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.088,\n",
      "                    'localization_loss': 0.159,\n",
      "                    'log': 'INFO:tensorflow:Step 245 per-step time 1.584s '\n",
      "                           'total_loss=0.386, classification_loss=0.088, '\n",
      "                           'localization_loss=0.159, rpnObjectness_loss=0.071, '\n",
      "                           'rpnLocalization_loss=0.068, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.068,\n",
      "                    'rpn_objectness_loss': 0.071,\n",
      "                    'step': 245,\n",
      "                    'total_loss': 0.386},\n",
      "             't': 1676355583},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.282,\n",
      "                    'localization_loss': 0.267,\n",
      "                    'log': 'INFO:tensorflow:Step 246 per-step time 1.583s '\n",
      "                           'total_loss=4.083, classification_loss=0.282, '\n",
      "                           'localization_loss=0.267, rpnObjectness_loss=0.389, '\n",
      "                           'rpnLocalization_loss=3.145, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 3.145,\n",
      "                    'rpn_objectness_loss': 0.389,\n",
      "                    'step': 246,\n",
      "                    'total_loss': 4.083},\n",
      "             't': 1676355585},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.192,\n",
      "                    'localization_loss': 0.314,\n",
      "                    'log': 'INFO:tensorflow:Step 247 per-step time 1.583s '\n",
      "                           'total_loss=0.629, classification_loss=0.192, '\n",
      "                           'localization_loss=0.314, rpnObjectness_loss=0.051, '\n",
      "                           'rpnLocalization_loss=0.071, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.071,\n",
      "                    'rpn_objectness_loss': 0.051,\n",
      "                    'step': 247,\n",
      "                    'total_loss': 0.629},\n",
      "             't': 1676355586},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.186,\n",
      "                    'localization_loss': 0.172,\n",
      "                    'log': 'INFO:tensorflow:Step 248 per-step time 1.577s '\n",
      "                           'total_loss=0.407, classification_loss=0.186, '\n",
      "                           'localization_loss=0.172, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 248,\n",
      "                    'total_loss': 0.407},\n",
      "             't': 1676355588},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.147,\n",
      "                    'localization_loss': 0.225,\n",
      "                    'log': 'INFO:tensorflow:Step 249 per-step time 1.576s '\n",
      "                           'total_loss=0.546, classification_loss=0.147, '\n",
      "                           'localization_loss=0.225, rpnObjectness_loss=0.046, '\n",
      "                           'rpnLocalization_loss=0.128, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.128,\n",
      "                    'rpn_objectness_loss': 0.046,\n",
      "                    'step': 249,\n",
      "                    'total_loss': 0.546},\n",
      "             't': 1676355589},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.26,\n",
      "                    'localization_loss': 0.34,\n",
      "                    'log': 'INFO:tensorflow:Step 250 per-step time 1.586s '\n",
      "                           'total_loss=0.841, classification_loss=0.260, '\n",
      "                           'localization_loss=0.340, rpnObjectness_loss=0.099, '\n",
      "                           'rpnLocalization_loss=0.141, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.141,\n",
      "                    'rpn_objectness_loss': 0.099,\n",
      "                    'step': 250,\n",
      "                    'total_loss': 0.841},\n",
      "             't': 1676355591},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.241,\n",
      "                    'localization_loss': 0.443,\n",
      "                    'log': 'INFO:tensorflow:Step 251 per-step time 1.579s '\n",
      "                           'total_loss=0.728, classification_loss=0.241, '\n",
      "                           'localization_loss=0.443, rpnObjectness_loss=0.023, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.023,\n",
      "                    'step': 251,\n",
      "                    'total_loss': 0.728},\n",
      "             't': 1676355593},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.035,\n",
      "                    'localization_loss': 0,\n",
      "                    'log': 'INFO:tensorflow:Step 252 per-step time 1.585s '\n",
      "                           'total_loss=0.180, classification_loss=0.035, '\n",
      "                           'localization_loss=0.000, rpnObjectness_loss=0.128, '\n",
      "                           'rpnLocalization_loss=0.017, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.017,\n",
      "                    'rpn_objectness_loss': 0.128,\n",
      "                    'step': 252,\n",
      "                    'total_loss': 0.18},\n",
      "             't': 1676355594},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.194,\n",
      "                    'localization_loss': 0.252,\n",
      "                    'log': 'INFO:tensorflow:Step 253 per-step time 1.581s '\n",
      "                           'total_loss=0.497, classification_loss=0.194, '\n",
      "                           'localization_loss=0.252, rpnObjectness_loss=0.031, '\n",
      "                           'rpnLocalization_loss=0.020, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.02,\n",
      "                    'rpn_objectness_loss': 0.031,\n",
      "                    'step': 253,\n",
      "                    'total_loss': 0.497},\n",
      "             't': 1676355596},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.17,\n",
      "                    'localization_loss': 0.356,\n",
      "                    'log': 'INFO:tensorflow:Step 254 per-step time 1.576s '\n",
      "                           'total_loss=0.594, classification_loss=0.170, '\n",
      "                           'localization_loss=0.356, rpnObjectness_loss=0.019, '\n",
      "                           'rpnLocalization_loss=0.049, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.049,\n",
      "                    'rpn_objectness_loss': 0.019,\n",
      "                    'step': 254,\n",
      "                    'total_loss': 0.594},\n",
      "             't': 1676355597},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.272,\n",
      "                    'localization_loss': 0.306,\n",
      "                    'log': 'INFO:tensorflow:Step 255 per-step time 1.587s '\n",
      "                           'total_loss=0.693, classification_loss=0.272, '\n",
      "                           'localization_loss=0.306, rpnObjectness_loss=0.033, '\n",
      "                           'rpnLocalization_loss=0.082, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.082,\n",
      "                    'rpn_objectness_loss': 0.033,\n",
      "                    'step': 255,\n",
      "                    'total_loss': 0.693},\n",
      "             't': 1676355599},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.161,\n",
      "                    'localization_loss': 0.132,\n",
      "                    'log': 'INFO:tensorflow:Step 256 per-step time 1.582s '\n",
      "                           'total_loss=0.350, classification_loss=0.161, '\n",
      "                           'localization_loss=0.132, rpnObjectness_loss=0.044, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.044,\n",
      "                    'step': 256,\n",
      "                    'total_loss': 0.35},\n",
      "             't': 1676355600},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.188,\n",
      "                    'localization_loss': 0.231,\n",
      "                    'log': 'INFO:tensorflow:Step 257 per-step time 1.583s '\n",
      "                           'total_loss=0.514, classification_loss=0.188, '\n",
      "                           'localization_loss=0.231, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.060, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.06,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 257,\n",
      "                    'total_loss': 0.514},\n",
      "             't': 1676355602},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.457,\n",
      "                    'localization_loss': 0.31,\n",
      "                    'log': 'INFO:tensorflow:Step 258 per-step time 1.575s '\n",
      "                           'total_loss=0.824, classification_loss=0.457, '\n",
      "                           'localization_loss=0.310, rpnObjectness_loss=0.016, '\n",
      "                           'rpnLocalization_loss=0.042, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.042,\n",
      "                    'rpn_objectness_loss': 0.016,\n",
      "                    'step': 258,\n",
      "                    'total_loss': 0.824},\n",
      "             't': 1676355604},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.172,\n",
      "                    'localization_loss': 0.351,\n",
      "                    'log': 'INFO:tensorflow:Step 259 per-step time 1.583s '\n",
      "                           'total_loss=0.633, classification_loss=0.172, '\n",
      "                           'localization_loss=0.351, rpnObjectness_loss=0.026, '\n",
      "                           'rpnLocalization_loss=0.083, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.083,\n",
      "                    'rpn_objectness_loss': 0.026,\n",
      "                    'step': 259,\n",
      "                    'total_loss': 0.633},\n",
      "             't': 1676355605},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.221,\n",
      "                    'localization_loss': 0.471,\n",
      "                    'log': 'INFO:tensorflow:Step 260 per-step time 1.584s '\n",
      "                           'total_loss=1.004, classification_loss=0.221, '\n",
      "                           'localization_loss=0.471, rpnObjectness_loss=0.124, '\n",
      "                           'rpnLocalization_loss=0.188, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.188,\n",
      "                    'rpn_objectness_loss': 0.124,\n",
      "                    'step': 260,\n",
      "                    'total_loss': 1.004},\n",
      "             't': 1676355607},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.146,\n",
      "                    'localization_loss': 0.121,\n",
      "                    'log': 'INFO:tensorflow:Step 261 per-step time 1.582s '\n",
      "                           'total_loss=0.289, classification_loss=0.146, '\n",
      "                           'localization_loss=0.121, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.010, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.01,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 261,\n",
      "                    'total_loss': 0.289},\n",
      "             't': 1676355608},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.194,\n",
      "                    'localization_loss': 0.205,\n",
      "                    'log': 'INFO:tensorflow:Step 262 per-step time 1.573s '\n",
      "                           'total_loss=0.514, classification_loss=0.194, '\n",
      "                           'localization_loss=0.205, rpnObjectness_loss=0.023, '\n",
      "                           'rpnLocalization_loss=0.093, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.093,\n",
      "                    'rpn_objectness_loss': 0.023,\n",
      "                    'step': 262,\n",
      "                    'total_loss': 0.514},\n",
      "             't': 1676355610},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.151,\n",
      "                    'localization_loss': 0.378,\n",
      "                    'log': 'INFO:tensorflow:Step 263 per-step time 1.586s '\n",
      "                           'total_loss=0.582, classification_loss=0.151, '\n",
      "                           'localization_loss=0.378, rpnObjectness_loss=0.015, '\n",
      "                           'rpnLocalization_loss=0.038, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.038,\n",
      "                    'rpn_objectness_loss': 0.015,\n",
      "                    'step': 263,\n",
      "                    'total_loss': 0.582},\n",
      "             't': 1676355612},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.163,\n",
      "                    'localization_loss': 0.277,\n",
      "                    'log': 'INFO:tensorflow:Step 264 per-step time 1.582s '\n",
      "                           'total_loss=0.468, classification_loss=0.163, '\n",
      "                           'localization_loss=0.277, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.014, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.014,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 264,\n",
      "                    'total_loss': 0.468},\n",
      "             't': 1676355613},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.119,\n",
      "                    'localization_loss': 0.33,\n",
      "                    'log': 'INFO:tensorflow:Step 265 per-step time 1.582s '\n",
      "                           'total_loss=0.484, classification_loss=0.119, '\n",
      "                           'localization_loss=0.330, rpnObjectness_loss=0.008, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.008,\n",
      "                    'step': 265,\n",
      "                    'total_loss': 0.484},\n",
      "             't': 1676355615},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.172,\n",
      "                    'localization_loss': 0.318,\n",
      "                    'log': 'INFO:tensorflow:Step 266 per-step time 1.583s '\n",
      "                           'total_loss=0.581, classification_loss=0.172, '\n",
      "                           'localization_loss=0.318, rpnObjectness_loss=0.045, '\n",
      "                           'rpnLocalization_loss=0.047, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.047,\n",
      "                    'rpn_objectness_loss': 0.045,\n",
      "                    'step': 266,\n",
      "                    'total_loss': 0.581},\n",
      "             't': 1676355616},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.155,\n",
      "                    'localization_loss': 0.396,\n",
      "                    'log': 'INFO:tensorflow:Step 267 per-step time 1.578s '\n",
      "                           'total_loss=0.587, classification_loss=0.155, '\n",
      "                           'localization_loss=0.396, rpnObjectness_loss=0.015, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.015,\n",
      "                    'step': 267,\n",
      "                    'total_loss': 0.587},\n",
      "             't': 1676355618},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.087,\n",
      "                    'localization_loss': 0.058,\n",
      "                    'log': 'INFO:tensorflow:Step 268 per-step time 1.582s '\n",
      "                           'total_loss=0.166, classification_loss=0.087, '\n",
      "                           'localization_loss=0.058, rpnObjectness_loss=0.009, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.009,\n",
      "                    'step': 268,\n",
      "                    'total_loss': 0.166},\n",
      "             't': 1676355619},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.12,\n",
      "                    'localization_loss': 0.576,\n",
      "                    'log': 'INFO:tensorflow:Step 269 per-step time 1.582s '\n",
      "                           'total_loss=0.783, classification_loss=0.120, '\n",
      "                           'localization_loss=0.576, rpnObjectness_loss=0.033, '\n",
      "                           'rpnLocalization_loss=0.054, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.054,\n",
      "                    'rpn_objectness_loss': 0.033,\n",
      "                    'step': 269,\n",
      "                    'total_loss': 0.783},\n",
      "             't': 1676355621},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.151,\n",
      "                    'localization_loss': 0.173,\n",
      "                    'log': 'INFO:tensorflow:Step 270 per-step time 1.582s '\n",
      "                           'total_loss=0.355, classification_loss=0.151, '\n",
      "                           'localization_loss=0.173, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.018, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.018,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 270,\n",
      "                    'total_loss': 0.355},\n",
      "             't': 1676355623},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.086,\n",
      "                    'localization_loss': 0.315,\n",
      "                    'log': 'INFO:tensorflow:Step 271 per-step time 1.584s '\n",
      "                           'total_loss=0.429, classification_loss=0.086, '\n",
      "                           'localization_loss=0.315, rpnObjectness_loss=0.015, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.015,\n",
      "                    'step': 271,\n",
      "                    'total_loss': 0.429},\n",
      "             't': 1676355624},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.159,\n",
      "                    'localization_loss': 0.352,\n",
      "                    'log': 'INFO:tensorflow:Step 272 per-step time 1.581s '\n",
      "                           'total_loss=0.576, classification_loss=0.159, '\n",
      "                           'localization_loss=0.352, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.044, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.044,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 272,\n",
      "                    'total_loss': 0.576},\n",
      "             't': 1676355626},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.094,\n",
      "                    'localization_loss': 0.143,\n",
      "                    'log': 'INFO:tensorflow:Step 273 per-step time 1.583s '\n",
      "                           'total_loss=0.346, classification_loss=0.094, '\n",
      "                           'localization_loss=0.143, rpnObjectness_loss=0.025, '\n",
      "                           'rpnLocalization_loss=0.084, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.084,\n",
      "                    'rpn_objectness_loss': 0.025,\n",
      "                    'step': 273,\n",
      "                    'total_loss': 0.346},\n",
      "             't': 1676355627},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.133,\n",
      "                    'localization_loss': 0.257,\n",
      "                    'log': 'INFO:tensorflow:Step 274 per-step time 1.578s '\n",
      "                           'total_loss=0.434, classification_loss=0.133, '\n",
      "                           'localization_loss=0.257, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.031, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.031,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 274,\n",
      "                    'total_loss': 0.434},\n",
      "             't': 1676355629},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.192,\n",
      "                    'localization_loss': 0.352,\n",
      "                    'log': 'INFO:tensorflow:Step 275 per-step time 1.583s '\n",
      "                           'total_loss=0.598, classification_loss=0.192, '\n",
      "                           'localization_loss=0.352, rpnObjectness_loss=0.032, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.032,\n",
      "                    'step': 275,\n",
      "                    'total_loss': 0.598},\n",
      "             't': 1676355631},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.16,\n",
      "                    'localization_loss': 0.254,\n",
      "                    'log': 'INFO:tensorflow:Step 276 per-step time 1.582s '\n",
      "                           'total_loss=0.447, classification_loss=0.160, '\n",
      "                           'localization_loss=0.254, rpnObjectness_loss=0.014, '\n",
      "                           'rpnLocalization_loss=0.019, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.019,\n",
      "                    'rpn_objectness_loss': 0.014,\n",
      "                    'step': 276,\n",
      "                    'total_loss': 0.447},\n",
      "             't': 1676355632},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.259,\n",
      "                    'localization_loss': 0.259,\n",
      "                    'log': 'INFO:tensorflow:Step 277 per-step time 1.584s '\n",
      "                           'total_loss=0.804, classification_loss=0.259, '\n",
      "                           'localization_loss=0.259, rpnObjectness_loss=0.104, '\n",
      "                           'rpnLocalization_loss=0.183, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.183,\n",
      "                    'rpn_objectness_loss': 0.104,\n",
      "                    'step': 277,\n",
      "                    'total_loss': 0.804},\n",
      "             't': 1676355634},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.235,\n",
      "                    'localization_loss': 0.402,\n",
      "                    'log': 'INFO:tensorflow:Step 278 per-step time 1.581s '\n",
      "                           'total_loss=0.732, classification_loss=0.235, '\n",
      "                           'localization_loss=0.402, rpnObjectness_loss=0.044, '\n",
      "                           'rpnLocalization_loss=0.052, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.052,\n",
      "                    'rpn_objectness_loss': 0.044,\n",
      "                    'step': 278,\n",
      "                    'total_loss': 0.732},\n",
      "             't': 1676355635},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.077,\n",
      "                    'localization_loss': 0.117,\n",
      "                    'log': 'INFO:tensorflow:Step 279 per-step time 1.582s '\n",
      "                           'total_loss=0.629, classification_loss=0.077, '\n",
      "                           'localization_loss=0.117, rpnObjectness_loss=0.111, '\n",
      "                           'rpnLocalization_loss=0.324, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.324,\n",
      "                    'rpn_objectness_loss': 0.111,\n",
      "                    'step': 279,\n",
      "                    'total_loss': 0.629},\n",
      "             't': 1676355637},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.199,\n",
      "                    'localization_loss': 0.447,\n",
      "                    'log': 'INFO:tensorflow:Step 280 per-step time 1.582s '\n",
      "                           'total_loss=0.678, classification_loss=0.199, '\n",
      "                           'localization_loss=0.447, rpnObjectness_loss=0.010, '\n",
      "                           'rpnLocalization_loss=0.022, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.022,\n",
      "                    'rpn_objectness_loss': 0.01,\n",
      "                    'step': 280,\n",
      "                    'total_loss': 0.678},\n",
      "             't': 1676355638},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.144,\n",
      "                    'localization_loss': 0.273,\n",
      "                    'log': 'INFO:tensorflow:Step 281 per-step time 1.582s '\n",
      "                           'total_loss=0.451, classification_loss=0.144, '\n",
      "                           'localization_loss=0.273, rpnObjectness_loss=0.010, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.01,\n",
      "                    'step': 281,\n",
      "                    'total_loss': 0.451},\n",
      "             't': 1676355640},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.208,\n",
      "                    'localization_loss': 0.346,\n",
      "                    'log': 'INFO:tensorflow:Step 282 per-step time 1.583s '\n",
      "                           'total_loss=0.824, classification_loss=0.208, '\n",
      "                           'localization_loss=0.346, rpnObjectness_loss=0.118, '\n",
      "                           'rpnLocalization_loss=0.152, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.152,\n",
      "                    'rpn_objectness_loss': 0.118,\n",
      "                    'step': 282,\n",
      "                    'total_loss': 0.824},\n",
      "             't': 1676355642},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.348,\n",
      "                    'localization_loss': 0.282,\n",
      "                    'log': 'INFO:tensorflow:Step 283 per-step time 1.584s '\n",
      "                           'total_loss=0.792, classification_loss=0.348, '\n",
      "                           'localization_loss=0.282, rpnObjectness_loss=0.059, '\n",
      "                           'rpnLocalization_loss=0.103, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.103,\n",
      "                    'rpn_objectness_loss': 0.059,\n",
      "                    'step': 283,\n",
      "                    'total_loss': 0.792},\n",
      "             't': 1676355643},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.237,\n",
      "                    'localization_loss': 0.542,\n",
      "                    'log': 'INFO:tensorflow:Step 284 per-step time 1.583s '\n",
      "                           'total_loss=0.826, classification_loss=0.237, '\n",
      "                           'localization_loss=0.542, rpnObjectness_loss=0.020, '\n",
      "                           'rpnLocalization_loss=0.026, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.026,\n",
      "                    'rpn_objectness_loss': 0.02,\n",
      "                    'step': 284,\n",
      "                    'total_loss': 0.826},\n",
      "             't': 1676355645},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.163,\n",
      "                    'localization_loss': 0.145,\n",
      "                    'log': 'INFO:tensorflow:Step 285 per-step time 1.579s '\n",
      "                           'total_loss=0.358, classification_loss=0.163, '\n",
      "                           'localization_loss=0.145, rpnObjectness_loss=0.026, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.026,\n",
      "                    'step': 285,\n",
      "                    'total_loss': 0.358},\n",
      "             't': 1676355646},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.101,\n",
      "                    'localization_loss': 0.208,\n",
      "                    'log': 'INFO:tensorflow:Step 286 per-step time 1.583s '\n",
      "                           'total_loss=0.554, classification_loss=0.101, '\n",
      "                           'localization_loss=0.208, rpnObjectness_loss=0.128, '\n",
      "                           'rpnLocalization_loss=0.117, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.117,\n",
      "                    'rpn_objectness_loss': 0.128,\n",
      "                    'step': 286,\n",
      "                    'total_loss': 0.554},\n",
      "             't': 1676355648},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.413,\n",
      "                    'localization_loss': 0.528,\n",
      "                    'log': 'INFO:tensorflow:Step 287 per-step time 1.579s '\n",
      "                           'total_loss=1.018, classification_loss=0.413, '\n",
      "                           'localization_loss=0.528, rpnObjectness_loss=0.035, '\n",
      "                           'rpnLocalization_loss=0.042, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.042,\n",
      "                    'rpn_objectness_loss': 0.035,\n",
      "                    'step': 287,\n",
      "                    'total_loss': 1.018},\n",
      "             't': 1676355650},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.152,\n",
      "                    'localization_loss': 0.281,\n",
      "                    'log': 'INFO:tensorflow:Step 288 per-step time 1.579s '\n",
      "                           'total_loss=0.471, classification_loss=0.152, '\n",
      "                           'localization_loss=0.281, rpnObjectness_loss=0.014, '\n",
      "                           'rpnLocalization_loss=0.024, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.024,\n",
      "                    'rpn_objectness_loss': 0.014,\n",
      "                    'step': 288,\n",
      "                    'total_loss': 0.471},\n",
      "             't': 1676355651},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.088,\n",
      "                    'localization_loss': 0.222,\n",
      "                    'log': 'INFO:tensorflow:Step 289 per-step time 1.579s '\n",
      "                           'total_loss=0.359, classification_loss=0.088, '\n",
      "                           'localization_loss=0.222, rpnObjectness_loss=0.013, '\n",
      "                           'rpnLocalization_loss=0.035, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.035,\n",
      "                    'rpn_objectness_loss': 0.013,\n",
      "                    'step': 289,\n",
      "                    'total_loss': 0.359},\n",
      "             't': 1676355653},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.194,\n",
      "                    'localization_loss': 0.113,\n",
      "                    'log': 'INFO:tensorflow:Step 290 per-step time 1.586s '\n",
      "                           'total_loss=0.352, classification_loss=0.194, '\n",
      "                           'localization_loss=0.113, rpnObjectness_loss=0.021, '\n",
      "                           'rpnLocalization_loss=0.025, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.025,\n",
      "                    'rpn_objectness_loss': 0.021,\n",
      "                    'step': 290,\n",
      "                    'total_loss': 0.352},\n",
      "             't': 1676355654},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.351,\n",
      "                    'localization_loss': 0.697,\n",
      "                    'log': 'INFO:tensorflow:Step 291 per-step time 1.586s '\n",
      "                           'total_loss=1.119, classification_loss=0.351, '\n",
      "                           'localization_loss=0.697, rpnObjectness_loss=0.042, '\n",
      "                           'rpnLocalization_loss=0.029, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.029,\n",
      "                    'rpn_objectness_loss': 0.042,\n",
      "                    'step': 291,\n",
      "                    'total_loss': 1.119},\n",
      "             't': 1676355656},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.057,\n",
      "                    'localization_loss': 0.068,\n",
      "                    'log': 'INFO:tensorflow:Step 292 per-step time 1.578s '\n",
      "                           'total_loss=0.233, classification_loss=0.057, '\n",
      "                           'localization_loss=0.068, rpnObjectness_loss=0.036, '\n",
      "                           'rpnLocalization_loss=0.072, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.072,\n",
      "                    'rpn_objectness_loss': 0.036,\n",
      "                    'step': 292,\n",
      "                    'total_loss': 0.233},\n",
      "             't': 1676355657},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.094,\n",
      "                    'localization_loss': 0.099,\n",
      "                    'log': 'INFO:tensorflow:Step 293 per-step time 1.578s '\n",
      "                           'total_loss=0.214, classification_loss=0.094, '\n",
      "                           'localization_loss=0.099, rpnObjectness_loss=0.008, '\n",
      "                           'rpnLocalization_loss=0.013, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.013,\n",
      "                    'rpn_objectness_loss': 0.008,\n",
      "                    'step': 293,\n",
      "                    'total_loss': 0.214},\n",
      "             't': 1676355659},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.119,\n",
      "                    'localization_loss': 0.184,\n",
      "                    'log': 'INFO:tensorflow:Step 294 per-step time 1.578s '\n",
      "                           'total_loss=0.339, classification_loss=0.119, '\n",
      "                           'localization_loss=0.184, rpnObjectness_loss=0.009, '\n",
      "                           'rpnLocalization_loss=0.027, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.027,\n",
      "                    'rpn_objectness_loss': 0.009,\n",
      "                    'step': 294,\n",
      "                    'total_loss': 0.339},\n",
      "             't': 1676355661},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.194,\n",
      "                    'localization_loss': 0.188,\n",
      "                    'log': 'INFO:tensorflow:Step 295 per-step time 1.587s '\n",
      "                           'total_loss=0.421, classification_loss=0.194, '\n",
      "                           'localization_loss=0.188, rpnObjectness_loss=0.018, '\n",
      "                           'rpnLocalization_loss=0.021, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.021,\n",
      "                    'rpn_objectness_loss': 0.018,\n",
      "                    'step': 295,\n",
      "                    'total_loss': 0.421},\n",
      "             't': 1676355662},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.149,\n",
      "                    'localization_loss': 0.129,\n",
      "                    'log': 'INFO:tensorflow:Step 296 per-step time 1.584s '\n",
      "                           'total_loss=0.359, classification_loss=0.149, '\n",
      "                           'localization_loss=0.129, rpnObjectness_loss=0.025, '\n",
      "                           'rpnLocalization_loss=0.056, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.056,\n",
      "                    'rpn_objectness_loss': 0.025,\n",
      "                    'step': 296,\n",
      "                    'total_loss': 0.359},\n",
      "             't': 1676355664},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.197,\n",
      "                    'localization_loss': 0.205,\n",
      "                    'log': 'INFO:tensorflow:Step 297 per-step time 1.577s '\n",
      "                           'total_loss=0.657, classification_loss=0.197, '\n",
      "                           'localization_loss=0.205, rpnObjectness_loss=0.102, '\n",
      "                           'rpnLocalization_loss=0.154, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.154,\n",
      "                    'rpn_objectness_loss': 0.102,\n",
      "                    'step': 297,\n",
      "                    'total_loss': 0.657},\n",
      "             't': 1676355665},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.246,\n",
      "                    'localization_loss': 0.565,\n",
      "                    'log': 'INFO:tensorflow:Step 298 per-step time 1.582s '\n",
      "                           'total_loss=0.901, classification_loss=0.246, '\n",
      "                           'localization_loss=0.565, rpnObjectness_loss=0.040, '\n",
      "                           'rpnLocalization_loss=0.051, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.051,\n",
      "                    'rpn_objectness_loss': 0.04,\n",
      "                    'step': 298,\n",
      "                    'total_loss': 0.901},\n",
      "             't': 1676355667},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.057,\n",
      "                    'localization_loss': 0.122,\n",
      "                    'log': 'INFO:tensorflow:Step 299 per-step time 1.584s '\n",
      "                           'total_loss=0.212, classification_loss=0.057, '\n",
      "                           'localization_loss=0.122, rpnObjectness_loss=0.009, '\n",
      "                           'rpnLocalization_loss=0.023, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.023,\n",
      "                    'rpn_objectness_loss': 0.009,\n",
      "                    'step': 299,\n",
      "                    'total_loss': 0.212},\n",
      "             't': 1676355668},\n",
      "            {'ev': 'trainingCheckpoint',\n",
      "             'pl': {'classification_loss': 0.141,\n",
      "                    'localization_loss': 0.182,\n",
      "                    'log': 'INFO:tensorflow:Step 300 per-step time 1.580s '\n",
      "                           'total_loss=0.463, classification_loss=0.141, '\n",
      "                           'localization_loss=0.182, rpnObjectness_loss=0.053, '\n",
      "                           'rpnLocalization_loss=0.087, mask_loss=0.000, ',\n",
      "                    'mask_loss': 0,\n",
      "                    'rpn_localization_loss': 0.087,\n",
      "                    'rpn_objectness_loss': 0.053,\n",
      "                    'step': 300,\n",
      "                    'total_loss': 0.463},\n",
      "             't': 1676355670},\n",
      "            {'ev': 'evaluationCheckpoint',\n",
      "             'pl': {'average_precision': 0.178539,\n",
      "                    'average_precision.50_iou': 0.316443,\n",
      "                    'average_precision.75_iou': 0.184913,\n",
      "                    'average_recall1': 0.162157,\n",
      "                    'average_recall10': 0.222549,\n",
      "                    'average_recall100': 0.233333,\n",
      "                    'classification_loss': 0.086784,\n",
      "                    'large_average_precision': 0.528648,\n",
      "                    'large_average_recall100': 0.657516,\n",
      "                    'localization_loss': 0.043357,\n",
      "                    'log': 'Loading and preparing annotation results...\\n'\n",
      "                           'INFO:tensorflow:Eval metrics at step 300\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP: '\n",
      "                           '0.178539\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.50IOU: 0.316443\\n'\n",
      "                           'INFO:tensorflow:\\t+ '\n",
      "                           'DetectionBoxes_Precision/mAP@.75IOU: 0.184913\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(small): 0.013373\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(medium): 0.100620\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Precision/mAP '\n",
      "                           '(large): 0.528648\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@1: '\n",
      "                           '0.162157\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@10: '\n",
      "                           '0.222549\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100: '\n",
      "                           '0.233333\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(small): 0.011071\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(medium): 0.198701\\n'\n",
      "                           'INFO:tensorflow:\\t+ DetectionBoxes_Recall/AR@100 '\n",
      "                           '(large): 0.657516\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnLocalization_loss: '\n",
      "                           '0.151804\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/rpnObjectness_loss: '\n",
      "                           '0.061480\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/localization_loss: '\n",
      "                           '0.043357\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/classification_loss: '\n",
      "                           '0.086784\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/regularization_loss: '\n",
      "                           '0.000000\\n'\n",
      "                           'INFO:tensorflow:\\t+ Loss/total_loss: 0.343426\\n'\n",
      "                           'INFO:tensorflow:Waiting for new checkpoint at '\n",
      "                           '***\\n',\n",
      "                    'medium_average_precision': 0.10062,\n",
      "                    'medium_average_recall100': 0.198701,\n",
      "                    'regularization_loss': 0,\n",
      "                    'rpn_localization_loss': 0.151804,\n",
      "                    'rpn_objectness_loss': 0.06148,\n",
      "                    'small_average_precision': 0.013373,\n",
      "                    'small_average_recall100': 0.011071,\n",
      "                    'step': 300,\n",
      "                    'total_loss': 0.343426},\n",
      "             't': 1676355798},\n",
      "            {'ev': 'artifactAuthorized',\n",
      "             'pl': {'artifact_id': '63eb28d6b03587e371e787cc',\n",
      "                    'name': 'ckpt-4'},\n",
      "             't': 1676355798},\n",
      "            {'ev': 'trainingFinished',\n",
      "             'pl': {'message': 'Training finished with code 0 on signal null'},\n",
      "             't': 1676355805},\n",
      "            {'ev': 'evaluationFinished',\n",
      "             'pl': {'message': 'Evaluation finished with code 0 on signal '\n",
      "                               'null'},\n",
      "             't': 1676355805},\n",
      "            {'ev': 'artifactUploaded',\n",
      "             'pl': {'artifact_id': '63eb28d6b03587e371e787cc',\n",
      "                    'files': [{'md5': '0ef8c7070af7cf9892fec8089e0180fe',\n",
      "                               'name': 'ckpt-4.index'},\n",
      "                              {'md5': 'c253ca78d4a3a15e6890c801e2f663a9',\n",
      "                               'name': 'ckpt-4.data-00000-of-00001'}]},\n",
      "             't': 1676355807},\n",
      "            {'ev': 'artifactRemoved',\n",
      "             'pl': {'artifact_id': '63eb27b8b03587e371e78401',\n",
      "                    'by': '63eb28d6b03587e371e787cc',\n",
      "                    'reason': 'replaced'},\n",
      "             't': 1676355809}],\n",
      " 'id': 'log_63eb22b7bec73541a7b3728f',\n",
      " 'object': 'archivedLog'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the log information based on the specified log id\n",
    "run_log_response = datature.Run.log(\n",
    "    \"log_63eb22b7bec73541a7b3728f\"\n",
    ")\n",
    "# Display response for the retrieval of log operation\n",
    "pprint.pprint(run_log_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf058aa6",
   "metadata": {},
   "source": [
    "## 10.4. Retrieve A Training Run"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ef327c2",
   "metadata": {},
   "source": [
    "Retrieves a training run based on the specified training run id."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "fd8043af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "               'checkpoint': {'evaluation_interval': 250,\n",
      "                              'metric': 'Loss/total_loss',\n",
      "                              'strategy': 'STRAT_LOWEST_VALIDATION_LOSS'}},\n",
      " 'features': {'preview': True},\n",
      " 'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      " 'id': 'run_63eb5410e3cc5b966339344f',\n",
      " 'logs': ['log_63eb5410e3cc5b966339344f'],\n",
      " 'object': 'run',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                            'status': 'running'}]}}\n"
     ]
    }
   ],
   "source": [
    "run_retrieve_response = datature.Run.retrieve(\n",
    "    \"run_63eb5410e3cc5b966339344f\"\n",
    ")\n",
    "pprint.pprint(run_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39089319",
   "metadata": {},
   "source": [
    "## 10.5. Kill A Training Run "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47a8e7e3",
   "metadata": {},
   "source": [
    "Kill an ongoing training run based on the specified training run id. Note that the this will ony work if the training has already initialized and is currently ongoing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "52dab9b4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676367040778,\n",
      " 'execution': {'accelerator': {'count': 1, 'name': 'GPU_T4'},\n",
      "               'checkpoint': {'evaluation_interval': 250,\n",
      "                              'metric': 'Loss/total_loss',\n",
      "                              'strategy': 'STRAT_LOWEST_VALIDATION_LOSS'}},\n",
      " 'features': {'preview': True},\n",
      " 'flow_id': 'flow_63eb229abec73541a7b37280',\n",
      " 'id': 'run_63eb5410e3cc5b966339344f',\n",
      " 'logs': ['log_63eb5410e3cc5b966339344f'],\n",
      " 'object': 'run',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'status': {'conditions': [{'condition': 'TrainingStarted',\n",
      "                            'last_updated': 1676367040778,\n",
      "                            'status': 'finished'},\n",
      "                           {'condition': 'TrainingFinished',\n",
      "                            'last_updated': 1676367040778,\n",
      "                            'status': 'running'}]}}\n"
     ]
    }
   ],
   "source": [
    "# Kill an ongoing training run\n",
    "run_modify_response = datature.Run.kill(\n",
    "    \"run_63eb5410e3cc5b966339344f\",\n",
    ")\n",
    "# Display response for the killing of training run operation\n",
    "pprint.pprint(run_modify_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "266def84",
   "metadata": {},
   "source": [
    "## 10.6. Delete A Training Run"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "496f317b",
   "metadata": {},
   "source": [
    "Delete a training run based on the specified training run id."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3c0f41ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True, 'id': 'run_63eb5410e3cc5b966339344f'}\n"
     ]
    }
   ],
   "source": [
    "# Delete a training run based on the specified training run id\n",
    "run_delete_response = datature.Run.delete(\n",
    "    \"run_63eb5410e3cc5b966339344f\"\n",
    ")\n",
    "# Display response of the deletion of training run operation\n",
    "pprint.pprint(run_delete_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e976d5f",
   "metadata": {},
   "source": [
    "# 11. Artifact API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87f8589f",
   "metadata": {},
   "source": [
    "This section contains all the operations with regards to the artifacts. Artifacts are the model files that are generated from the training runs where it can be exported to a variety of formats like `tensorflow`, `tflite` or `onnx`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4818bd4a",
   "metadata": {},
   "source": [
    "## 11.1. List All Artifacts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e60337e",
   "metadata": {},
   "source": [
    "List all artifacts in the project. The listed artifacts will include the metadata related to the artifacts like the `metric` and the `exports` that has been made to export the artifact to the specified model format as well as other metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c3ef6b6d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'artifact': 'ckpt-1',\n",
      "  'create_date': 1676361841029,\n",
      "  'exports': [],\n",
      "  'files': [{'md5': '832cc3488eee29f21794a17a503eed09', 'name': 'ckpt-1.index'},\n",
      "            {'md5': 'acce8cdac80ea96af1b1a81247333578',\n",
      "             'name': 'ckpt-1.data-00000-of-00001'}],\n",
      "  'flow_title': 'Example Old Workflow',\n",
      "  'id': 'artifact_63eb4071b03587e371e79bd6',\n",
      "  'is_deployed': False,\n",
      "  'is_training': False,\n",
      "  'metric': {'classification_loss': 1.484,\n",
      "             'localization_loss': 0.173,\n",
      "             'regularization_loss': 0,\n",
      "             'total_loss': 1.658},\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'run_id': 'run_63eb3dfdf45218f93dbb34a4',\n",
      "  'step': 0},\n",
      " {'artifact': 'ckpt-4',\n",
      "  'create_date': 1676355798502,\n",
      "  'exports': ['tensorflow', 'onnx'],\n",
      "  'files': [{'md5': '0ef8c7070af7cf9892fec8089e0180fe', 'name': 'ckpt-4.index'},\n",
      "            {'md5': 'c253ca78d4a3a15e6890c801e2f663a9',\n",
      "             'name': 'ckpt-4.data-00000-of-00001'}],\n",
      "  'flow_title': 'Example Old Workflow',\n",
      "  'id': 'artifact_63eb28d6b03587e371e787cc',\n",
      "  'is_deployed': True,\n",
      "  'is_training': False,\n",
      "  'metric': {'classification_loss': 0.148,\n",
      "             'localization_loss': 0.195,\n",
      "             'regularization_loss': 0,\n",
      "             'total_loss': 0.343},\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'run_id': 'run_63eb22b7bec73541a7b3728f',\n",
      "  'step': 300}]\n"
     ]
    }
   ],
   "source": [
    "# List all artifacts in the project\n",
    "artifact_list_response = datature.Artifact.list()\n",
    "# Display response for the listing of all artifacts operations\n",
    "pprint.pprint(artifact_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2405121f",
   "metadata": {},
   "source": [
    "## 11.2. Retrieve An Artifact"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f61b9cad",
   "metadata": {},
   "source": [
    "Retrieves an artifact information based on the specified artifact id. The return response will include the metadata related to the specified artifact like the `metric` and the `exports` that has been made to export the artifact to the specified model format as well as other metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "29b3e018",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'artifact': 'ckpt-4',\n",
      " 'create_date': 1676355798502,\n",
      " 'exports': ['tensorflow', 'onnx'],\n",
      " 'files': [{'md5': '0ef8c7070af7cf9892fec8089e0180fe', 'name': 'ckpt-4.index'},\n",
      "           {'md5': 'c253ca78d4a3a15e6890c801e2f663a9',\n",
      "            'name': 'ckpt-4.data-00000-of-00001'}],\n",
      " 'flow_title': 'Example Old Workflow',\n",
      " 'id': 'artifact_63eb28d6b03587e371e787cc',\n",
      " 'is_deployed': True,\n",
      " 'is_training': False,\n",
      " 'metric': {'classification_loss': 0.148,\n",
      "            'localization_loss': 0.195,\n",
      "            'regularization_loss': 0,\n",
      "            'total_loss': 0.343},\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'run_id': 'run_63eb22b7bec73541a7b3728f',\n",
      " 'step': 300}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve an artifact's information based on the specified artifact id\n",
    "artifact_retrieve_response = datature.Artifact.retrieve(\n",
    "    \"artifact_63eb28d6b03587e371e787cc\"\n",
    ")\n",
    "# Display response of artifact retrieval operation\n",
    "pprint.pprint(artifact_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "782f9453",
   "metadata": {},
   "source": [
    "## 11.3. Export An Artifact Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "235694fa",
   "metadata": {},
   "source": [
    "Triggers an artifact export operation based on the specified artifact id as well as specified model format. Allowed formats to be exported are as follows:\n",
    "\n",
    "`tensorflow`, `tflite`, `onnx`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b48cb279",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676367354183,\n",
      " 'format': 'onnx',\n",
      " 'id': 'model_5535e70ae448f9be6df5969104d5fb49',\n",
      " 'object': 'model',\n",
      " 'status': 'Running'}\n"
     ]
    }
   ],
   "source": [
    "# Export a model to the specified model format for specified artifact id\n",
    "artifact_export_model_response = datature.Artifact.export_model(\n",
    "    \"artifact_63eb28d6b03587e371e787cc\",\n",
    "    \"onnx\"\n",
    ")\n",
    "# Display response for triggering the export model artifact operation\n",
    "pprint.pprint(artifact_export_model_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "800e7841",
   "metadata": {},
   "source": [
    "## 11.4. Retrieve Artifact Models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8723fcf",
   "metadata": {},
   "source": [
    "Retrieves all the models for an artifact based on the specified artifact id. The models here refers to the different possible model format that the artifact has been exported to like `tensorflow`, `tflite` or `onnx`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "0e281622",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'create_date': 1676363861901,\n",
      "  'download': {'expiry': 1676450631949,\n",
      "               'method': 'GET',\n",
      "               'url': 'https://storage.googleapis.com/exports.datature.io/c4df32bdb04a34877c1693540a710b05/models/63eb22b7bec73541a7b3728f-ckpt-4-onnx.zip?Expires=1676450631&GoogleAccessId=464284302797-compute%40developer.gserviceaccount.com&Signature=LdsrGotPVN4uzXLtG0GreQAcxth44%2BocVSz3NLvLQ3B26SF%2BWh%2BRsooh1iQ1t%2FR6Aan0ZYcZu6ig3AT%2Bm03ypKG2sLStj1xr%2FV63jdFSjm3EoTTODEdepivIBgNO7f%2FGgBmg2EersTe1c0W90313a1No8uygp7%2BEiYIS3GZa5cYSsihi4mvEmHCDlwV%2B4BJ4%2BJOCeiazLE17FPpZMTiGCwevtSgZCQ0gbHelvlfXt5kxklgOBWJf63Nm%2F0mXjyx%2FNO2uej7R8JJOSofFEtuOnVI5KaDE8OMlujOoqxpdRdkgrns0iyTaiEFasruFWWYFZoozmLO4MV4KYJVAxJONBg%3D%3D'},\n",
      "  'format': 'onnx',\n",
      "  'id': 'model_4530c25934201603b4e15461c64395ac',\n",
      "  'object': 'model',\n",
      "  'status': 'Finished'},\n",
      " {'create_date': 1676363078987,\n",
      "  'download': {'expiry': 1676450071466,\n",
      "               'method': 'GET',\n",
      "               'url': 'https://storage.googleapis.com/exports.datature.io/c4df32bdb04a34877c1693540a710b05/models/63eb22b7bec73541a7b3728f-ckpt-4.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=464284302797-compute%40developer.gserviceaccount.com%2F20230214%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20230214T083431Z&X-Goog-Expires=86401&X-Goog-SignedHeaders=host&X-Goog-Signature=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'},\n",
      "  'format': 'tensorflow',\n",
      "  'id': 'model_6eaf8a9bdce682ce0e6be8c2929a8a09',\n",
      "  'object': 'model',\n",
      "  'status': 'Finished'}]\n"
     ]
    }
   ],
   "source": [
    "# List all exported models for the specified artifact id\n",
    "artifact_list_exported_response = datature.Artifact.list_exported(\n",
    "    \"artifact_63eb28d6b03587e371e787cc\"\n",
    ")\n",
    "# Display response for the list exported artifact response\n",
    "pprint.pprint(artifact_list_exported_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d87a295d",
   "metadata": {},
   "source": [
    "# 12. Deploy API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fe21f66",
   "metadata": {},
   "source": [
    "This section describes all the operations related to deployment. Deployment helps to serve the model into an API endpoint to be consumed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c31b30b",
   "metadata": {},
   "source": [
    "## 12.1. Create A Deployment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f5ffa62",
   "metadata": {},
   "source": [
    "Create a model deployment based on the specified model id. Configurable parameters are the `name` of the deployment as well as the `num_of_instances` which represents the number of instances of the model deployment to serve. Do note that it will take some time (5-7 minutes) for the deployment to be created.\n",
    "\n",
    "**NOTE: An ONNX model is required to be exported first in order to trigger the creation of a deployment API**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0cba5fa0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'op_02c63009-b5a0-4c8c-a6a1-0db3f4f3d5b3',\n",
      " 'object': 'operation',\n",
      " 'op_link': 'users/api|9ba9baf9-178a-47ed-9d2b-60155eda2359/projects/c4df32bdb04a34877c1693540a710b05/operations/octopod.managedDeployments.setup/02c63009-b5a0-4c8c-a6a1-0db3f4f3d5b3',\n",
      " 'status': {'message': 'Operation queued',\n",
      "            'overview': 'Queued',\n",
      "            'progress': {'unit': 'whole operation',\n",
      "                         'with_status': {'cancelled': 0,\n",
      "                                         'errored': 0,\n",
      "                                         'finished': 0,\n",
      "                                         'queued': 1,\n",
      "                                         'running': 0}},\n",
      "            'time_scheduled': 1676365015109,\n",
      "            'time_updated': 1676365015109}}\n"
     ]
    }
   ],
   "source": [
    "# Create a deployment based on the specified model id\n",
    "deploy_create_response = datature.Deploy.create(\n",
    "    {\n",
    "         \"name\": \"My First API\",\n",
    "         \"model_id\": \"model_4530c25934201603b4e15461c64395ac\",\n",
    "         \"num_of_instances\": 1,\n",
    "    }\n",
    ")\n",
    "# Display response of the create deployment operation\n",
    "pprint.pprint(deploy_create_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0d1e254",
   "metadata": {},
   "source": [
    "## 12.2. List All Deployments"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72cc03cc",
   "metadata": {},
   "source": [
    "List all deployments in a project. The listed deployments will include the metadata of related to the deployments like the `status` as well as the `scaling` method of the deployment along with other metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b53990cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'create_date': 1676364310924,\n",
      "  'id': 'deploy_57078a22-fe8d-41dc-a83a-0479bec6032e',\n",
      "  'last_modified_date': 1676364771563,\n",
      "  'locked': False,\n",
      "  'model_id': 'model_4530c25934201603b4e15461c64395ac',\n",
      "  'name': 'My First API',\n",
      "  'object': 'deploy',\n",
      "  'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      "  'scaling': {'mode': 'fixed', 'num_instances': 1},\n",
      "  'status': {'message': 'Created service successfully',\n",
      "             'overview': 'AVAILABLE',\n",
      "             'status_date': 1676364771563},\n",
      "  'url': 'https://inference.datature.io/neural/57078a22-fe8d-41dc-a83a-0479bec6032e/predict'}]\n"
     ]
    }
   ],
   "source": [
    "# List all deployments in the project\n",
    "deploy_list_response = datature.Deploy.list()\n",
    "# Display response for listing of deployments operations\n",
    "pprint.pprint(deploy_list_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7bd4287",
   "metadata": {},
   "source": [
    "## 12.3. Retrieve A Deployment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0fa89ef",
   "metadata": {},
   "source": [
    "Retrieves a deployment based on the specified deployment id. The results will include the metadata of related to the deployments like the `status` as well as the `scaling` method of the deployment along with other metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "0f614a2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'create_date': 1676364310924,\n",
      " 'id': 'deploy_57078a22-fe8d-41dc-a83a-0479bec6032e',\n",
      " 'last_modified_date': 1676364771563,\n",
      " 'locked': False,\n",
      " 'model_id': 'model_4530c25934201603b4e15461c64395ac',\n",
      " 'name': 'My First API',\n",
      " 'object': 'deploy',\n",
      " 'project_id': 'proj_c4df32bdb04a34877c1693540a710b05',\n",
      " 'scaling': {'mode': 'fixed', 'num_instances': 1},\n",
      " 'status': {'message': 'Created service successfully',\n",
      "            'overview': 'AVAILABLE',\n",
      "            'status_date': 1676364771563},\n",
      " 'url': 'https://inference.datature.io/neural/57078a22-fe8d-41dc-a83a-0479bec6032e/predict'}\n"
     ]
    }
   ],
   "source": [
    "# Retrieve a deployment by the specified deployment id\n",
    "deploy_retrieve_response = datature.Deploy.retrieve(\n",
    "    \"deploy_57078a22-fe8d-41dc-a83a-0479bec6032e\"\n",
    ")\n",
    "# Display response for the retrieval of deployment operation\n",
    "pprint.pprint(deploy_retrieve_response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9d06377",
   "metadata": {},
   "source": [
    "## 12.4. Delete A Deployment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f22a50d0",
   "metadata": {},
   "source": [
    "Delete a deployment based on the specified deployment id. Do note that it will take some time (5-7 minutes) for the deployment to be removed on the platform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "caab554e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'deleted': True, 'id': 'deploy_57078a22-fe8d-41dc-a83a-0479bec6032e'}\n"
     ]
    }
   ],
   "source": [
    "# Delete a deployment based on the specified deployment id\n",
    "deploy_delete_response = datature.Deploy.delete(\n",
    "    \"deploy_57078a22-fe8d-41dc-a83a-0479bec6032e\"\n",
    ")\n",
    "# Display response for the deletion of the deployment operation\n",
    "pprint.pprint(deploy_delete_response)"
   ]
  }
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