Open Issues Need Help
View All on GitHubAI Summary: Implement a webcam video capture module for the CHIRON project that streams video at 1280x720 resolution at 30±5 FPS. The module must gracefully handle camera disconnections and maintain a frame drop rate below 5% during a 10-minute test.
AI Summary: Develop a gesture recognition engine for a hand gesture-controlled gaming application. This involves training a classification model on at least 1000 hand landmark samples, evaluating its performance using a confusion matrix and ROC curves, and optimizing confidence thresholds for reliable runtime gesture identification.
AI Summary: Integrate MediaPipe's hand tracking model into the CHIRON application to detect and display hand landmarks in real-time with an overlay. The integration must prioritize low latency and minimal resource consumption, aiming for accuracy above 95%, latency under 50ms, and CPU usage below 25%.
AI Summary: Configure the development environment for the CHIRON project to ensure consistent builds across Windows, macOS, and Linux. This involves defining Python version requirements, creating a `requirements.txt` file with pinned dependencies, and setting up a CI/CD pipeline that successfully runs tests on all three platforms.