Eduardo Ottone
ee92581211
- 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
6 lines
100 B
Plaintext
6 lines
100 B
Plaintext
ultralytics>=8.0.0
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torch>=1.9.0
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torchvision>=0.10.0
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opencv-python>=4.5.0
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Pillow>=8.0.0
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numpy>=1.21.0 |