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Commit History
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feat: Add ArUco Marker Detector functionality and UI integration
Unverified signature- Introduced ArUco Marker Detector to the application, allowing users to detect ArUco markers in the video feed. - Added a selection interface for various ArUco dictionaries, enhancing flexibility in marker detection. - Updated the documentation to include detailed descriptions and usage examples for the ArUco Marker Detector. - Implemented the detection logic in the OpenCVUtils class, ensuring efficient processing of detected markers.d2df5bf
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Add Streamlit application for real-time OpenCV exploration
Unverified signature- Introduced app.py to implement a web interface for exploring various OpenCV filters and transformations using webcam input. - Updated .gitignore to include Python cache files. - Removed run.py as it is no longer needed for launching the application.83907f9 -
Add initial project structure with OpenCV and Mediapipe integration
Unverified signature- Created .gitignore to exclude environment and configuration files. - Added requirements.txt for project dependencies including OpenCV, Mediapipe, and Streamlit. - Implemented run.py to launch GUI applications using Tkinter or Streamlit. - Added face and hand landmark detection models in the res directory. - Developed face_mesh_tracker.py and hand_tracker.py for face and hand tracking functionalities. - Introduced opencv_utils.py for various image processing utilities. - Created streamlit_app.py for a web-based interface to explore OpenCV filters. - Developed tkinter_app.py for a desktop application interface with real-time image processing capabilities.ae1809b