Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

Implementation of "YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception".

This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Real time object detection with OpenCV and deep learning models

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. Run on Jetson TX2

Real Time Video Feed with Object Detection using Yolov5 (custom or pre-trained model) deployed on web browser using Flask backend.

A sample project for super fast real time object detection and counting using CHOOCH AI API and OpenCV.

This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.

RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning

Takes a youtube video/livestream and performs object detection by using the YOLO or SSD algorithm

Real-time object detection system utilizing the SSD MobileNet V2 FPNLite 320x320 model for high-speed, efficient recognition.

The aim of this project is to detect the objects in real time with good accuracy. Objects will appear live on webcam in a squared or circled area.

This demo is a simple software that I created using my studies and courses. It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, and can run on both GPU and CPU.

Real time object detection using video or camera

A real time object detection model created in python using YOLO

A comprehensive video analysis and heatmap generation tool based on Ultralytics YOLOv8.

An object following robot using the ultralytics library for object detection and Mqtt library for communication between the laptop and the rsapberry pi

This project builds a real-time object detection system using a Raspberry Pi and a camera. It captures live video, processes it with a TensorFlow Lite model to detect specific objects, and saves important events as video files.