https://github.com/alek-dr/pascalvoc
Python utility to work with PascalVoc annotation format
https://github.com/alek-dr/pascalvoc
annotation annotation-processing annotation-tool annotations annotationview dataset labelimg labelme labelme-json pascal-voc yoloformat
Last synced: about 2 months ago
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Python utility to work with PascalVoc annotation format
- Host: GitHub
- URL: https://github.com/alek-dr/pascalvoc
- Owner: Alek-dr
- License: mit
- Created: 2021-02-13T14:39:41.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-02-02T09:14:55.000Z (4 months ago)
- Last Synced: 2025-04-12T21:04:33.536Z (2 months ago)
- Topics: annotation, annotation-processing, annotation-tool, annotations, annotationview, dataset, labelimg, labelme, labelme-json, pascal-voc, yoloformat
- Language: Python
- Homepage:
- Size: 1.4 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
### pascal
Python utility to work with PascalVoc annotation format
Image examples from [PascalVoc2007](hhttp://host.robots.ox.ac.uk/pascal/VOC/voc2007/) 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
```