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A comprehensive computer vision platform for counting people entering and exiting through doorways, gates, or other defined boundaries. Features YOLO11 object detection, BoT-SORT tracking, FastAPI backend, and an intuitive Streamlit web interface.
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docs: expand project documentation with web interface, deployment and API details
552e07eView on GitHubfeat: add Streamlit UI with configuration management and video processing interface
9f3b49dView on GitHubfeat: initialize FastAPI application with auth, config and processing endpoints
ea7a09fView on GitHubstyle: format line intersection code with consistent spacing and line breaks
d8ce6a5View on GitHubdocs: add comprehensive documentation and project setup guide for footfall counter system
bf7ab02View on GitHubrefactor: replace ROI rectangle with line for more accurate person crossing detection
b2fa7deView on GitHubrefactor: change ROI to line, adjust ROI coordinates and rename frame image file
a48456aView on GitHubchore: remove unused video file and update notebook execution outputs
83c812bView on GitHubdocs: add comprehensive overview and documentation for footfall counter system jupyter notebook
473c3ddView on GitHubchore: add project files and initial setup with Makefile and botsort config
531fc2bView on GitHub