docs: update heatmap and track example documentation and requirements #1727
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- Add detailed run instructions with comments - Update requirements.txt with all necessary dependencies - Add instructions for downloading YOLO weights
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@shuuse did you push everything ? |
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onuralpszr
reviewed
Feb 9, 2025
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| opencv-python>=4.8.0 | ||
| numpy>=1.22.0 | ||
| torch>=2.0.0 |
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This packages already coming with ultralytics and supervision so it doesn't needs to be added.
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| Before running the script, make sure to download the YOLO weights: | ||
| ```bash | ||
| # Download YOLOv8n weights (if you don't have your own weights file) | ||
| wget https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt -O weight.pt | ||
| # Or using curl | ||
| curl -L https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt -o weight.pt | ||
| ``` |
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YOLO's weight file is automatically when you run the script we technically we don't files because YOLO's itself can download automatically
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| Then run the script: | ||
| ```bash | ||
| # Run with default demo video (people-walking.mp4) | ||
| python script.py \ | ||
| --source_weights_path weight.pt \ | ||
| --confidence_threshold 0.3 \ | ||
| --iou_threshold 0.5 \ | ||
| --target_video_path output_video.mp4 | ||
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| # Or run with your own video file | ||
| python script.py \ | ||
| --source_weights_path weight.pt \ | ||
| --source_video_path input_video.mp4 \ | ||
| --source_video_path your_video.mp4 \ | ||
| --confidence_threshold 0.3 \ | ||
| --iou_threshold 0.5 \ | ||
| --target_video_path output_video.mp4 | ||
| --target_video_path output_video.mp4 |
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This is pretty much show only how to run videe out and using default video file and downoad viddo
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Description
This PR updates the Heatmap and track example documentation and requirements to improve user experience and clarity.
Changes made:
Type of change
How has this change been tested?
Any specific deployment considerations
Docs