pascal
Python utility to work with PascalVoc annotation format
Image examples from PascalVoc2007 dataset
Code Example
import json
from pathlib import Path
from PIL import Image
from pascal import annotation_from_xml
from pascal.utils import save_xml
ds_path = Path("/home/VOCtest_06-Nov-2007/VOCdevkit/VOC2007")
img_src = ds_path / "JPEGImages"
ann_src = ds_path / "Annotations"
out_labelme = ds_path / "converted_labelme"
attr_type_spec = {"truncated": bool, "difficult": bool}
label_map = {"car": 1, "dog": 0, "person": 2, "train": 3}
if __name__ == "__main__":
for file in img_src.glob("*.jpg"):
# Get annotation file path
ann_file = (ann_src / file.name).with_suffix(".xml")
# Make pascal annotation object
ann = annotation_from_xml(ann_file, attr_type_spec)
print(ann)
# Save to xml file (same as ann_file)
xml = ann.to_xml()
out_xml_name = file.with_suffix(".xml").name
save_xml(out_xml_name, xml)
# Save yolo annotation
yolo_ann = ann.to_yolo(label_map)
out_yolo_name = file.with_suffix(".txt").name
with open(out_yolo_name, "w") as f:
f.write(yolo_ann)
# Convert to labelme and save json file
res = ann.to_labelme(file, save_img_data=False)
with open((out_labelme / file.name).with_suffix(".json"), "w") as f:
json.dump(res, f, indent=2)
# Draw objects
img = Image.open(file)
draw_img = ann.draw_boxes(img)
draw_img.show()
Visualization example:
draw_img = ann.draw_boxes(img)
draw_img.show()
Installation
From source
python setup.py install
Using pip
pip install pascal-voc
1 maintainer
Metadata
1 maintainer
Release files for pascal-voc 2.1.12
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Release files / pascal_voc-2.1.12-py3-none-any.whl
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| Tags | Python 3 |
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