- Resize all cropped objects to same dimensions before batching
- Add max_size parameter to control output resolution
- Add debug logging for detection process
- Prevents 'Sizes of tensors must match' error when concatenating
- Now successfully outputs batch of detected objects
- Implements YOLOv8-based object detection with batch output
- Supports multiple YOLOv8 model sizes (nano to extra-large)
- Configurable confidence threshold, IoU threshold, and padding
- Outputs separate images for each detected object
- Includes installation scripts for Windows, Linux, and Mac
- Complete documentation and example workflow
- MIT license for open source distribution
Eduardo Ottone