Image Cropper
Crop images based on bounding box annotations. Supports COCO, YOLO, VOC, and LabelMe formats. Use when user needs to extract objects from images based on annotation boxes.
Features
- Multi-format Support: COCO, YOLO, VOC, LabelMe
- Batch Processing: Crop entire datasets
- Padding: Add padding around bounding boxes
- Output Options: Individual files or sprite sheet
- Handle Missing: Gracefully handle images without annotations
Usage
# Crop YOLO annotations
python scripts/cropper.py yolo images/ labels/ output/
# Crop COCO annotations
python scripts/cropper.py coco annotations.json images/ output/
# Crop with padding
python scripts/cropper.py yolo images/ labels/ output/ --padding 10
# Crop all objects to individual files
python scripts/cropper.py yolo images/ labels/ output/ --objectsExamples
$ python scripts/cropper.py yolo ./images ./labels ./output
Processing 100 images...
✓ Cropped 250 objects from image_001.jpg
✓ Cropped 180 objects from image_002.jpg
...
Total: 500 cropped imagesInstallation
pip install pillowOptions
--padding: Padding around box (pixels, default: 0)--objects: Save each object as separate file--min-size: Minimum box size to crop (pixels)--format: Output format (jpg, png, default: jpg)--quality: JPEG quality 1-100 (default: 95)