- Add Flask application with MJPEG video streaming - Implement OpenCV DNN face detection module - Add zone-based entry/exit tracking with cooldown mechanism - Create web interface with real-time WebSocket updates - Add model download script and comprehensive README - Include OpenCV DNN model files for face detection
39 lines
436 B
Plaintext
39 lines
436 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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*.egg-info/
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dist/
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build/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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.cursor/
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# Logs
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*.log
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.cursor/debug.log
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# OS
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.DS_Store
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Thumbs.db
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# Project specific - model files are included but could be excluded if needed
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# Uncomment the line below to exclude model files from git (saves ~10MB)
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# models/*.caffemodel
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# Environment variables
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.env
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.env.local
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