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oid_to_pascal_voc_xml.py
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#================================================================
#
# File name : oid_to_pascal_vos_xml.py
# Author : PyLessons
# Created date: 2020-06-04
# Website : https://pylessons.com/
# GitHub : https://github.com/pythonlessons/TensorFlow-2.x-YOLOv3
# Description : used to convert oid labels to pascal vos xml
#
#================================================================
import os
from tqdm import tqdm
from sys import exit
import argparse
import cv2
from textwrap import dedent
from lxml import etree
foldername = os.path.basename(os.getcwd())
if foldername == "tools": os.chdir("..")
Dataset_path = "OIDv4_ToolKit/OID/Dataset"
def convert_to_xml():
current_path = os.getcwd()
os.chdir(Dataset_path)
DIRS = os.listdir(os.getcwd())
for DIR in DIRS:
if os.path.isdir(DIR):
os.chdir(DIR)
print("Currently in Subdirectory:", DIR)
CLASS_DIRS = os.listdir(os.getcwd())
for CLASS_DIR in CLASS_DIRS:
if " " in CLASS_DIR:
os.rename(CLASS_DIR, CLASS_DIR.replace(" ", "_"))
CLASS_DIRS = os.listdir(os.getcwd())
for CLASS_DIR in CLASS_DIRS:
if os.path.isdir(CLASS_DIR):
os.chdir(CLASS_DIR)
print("\n" + "Creating PASCAL VOC XML Files for Class:", CLASS_DIR)
# Create Directory for annotations if it does not exist yet
#Read Labels from OIDv4 ToolKit
os.chdir("Label")
#Create PASCAL XML
for filename in tqdm(os.listdir(os.getcwd())):
if filename.endswith(".txt"):
filename_str = str.split(filename, ".")[0]
annotation = etree.Element("annotation")
os.chdir("..")
folder = etree.Element("folder")
folder.text = os.path.basename(os.getcwd())
annotation.append(folder)
filename_xml = etree.Element("filename")
filename_xml.text = filename_str + ".jpg"
annotation.append(filename_xml)
path = etree.Element("path")
path.text = os.path.join(os.path.dirname(os.path.abspath(filename)), filename_str + ".jpg")
annotation.append(path)
source = etree.Element("source")
annotation.append(source)
database = etree.Element("database")
database.text = "Unknown"
source.append(database)
size = etree.Element("size")
annotation.append(size)
width = etree.Element("width")
height = etree.Element("height")
depth = etree.Element("depth")
img = cv2.imread(filename_xml.text)
try:
width.text = str(img.shape[1])
except AttributeError:
os.chdir("Label")
continue
height.text = str(img.shape[0])
depth.text = str(img.shape[2])
size.append(width)
size.append(height)
size.append(depth)
segmented = etree.Element("segmented")
segmented.text = "0"
annotation.append(segmented)
os.chdir("Label")
label_original = open(filename, 'r')
# Labels from OIDv4 Toolkit: name_of_class X_min Y_min X_max Y_max
for line in label_original:
line = line.strip()
l = line.split(' ')
class_name_len = len(l) - 4 # 4 coordinates
class_name = l[0]
for i in range(1,class_name_len):
class_name = f"{class_name}_{l[i]}"
addi = class_name_len
xmin_l = str(int(round(float(l[0+addi]))))
ymin_l = str(int(round(float(l[1+addi]))))
xmax_l = str(int(round(float(l[2+addi]))))
ymax_l = str(int(round(float(l[3+addi]))))
obj = etree.Element("object")
annotation.append(obj)
name = etree.Element("name")
name.text = class_name
obj.append(name)
pose = etree.Element("pose")
pose.text = "Unspecified"
obj.append(pose)
truncated = etree.Element("truncated")
truncated.text = "0"
obj.append(truncated)
difficult = etree.Element("difficult")
difficult.text = "0"
obj.append(difficult)
bndbox = etree.Element("bndbox")
obj.append(bndbox)
xmin = etree.Element("xmin")
xmin.text = xmin_l
bndbox.append(xmin)
ymin = etree.Element("ymin")
ymin.text = ymin_l
bndbox.append(ymin)
xmax = etree.Element("xmax")
xmax.text = xmax_l
bndbox.append(xmax)
ymax = etree.Element("ymax")
ymax.text = ymax_l
bndbox.append(ymax)
os.chdir("..")
# write xml to file
s = etree.tostring(annotation, pretty_print=True)
with open(filename_str + ".xml", 'wb') as f:
f.write(s)
f.close()
os.chdir("Label")
os.chdir("..")
os.chdir("..")
os.chdir("..")
convert_to_xml()