- Implemented live overlays to indicate alerting groups and their details.
- Updated person box annotations to reflect alert status with color coding.
- Improved saving of annotated alerts by including group-specific information and unique filenames.
- Added visual indicators for alert groups, including group size and duration.
- Added debug print statements for camera IP configuration at load time.
- Modified CAMERA_IPS initialization to correctly reference environment variables.
- Adjusted YOLO_CONF value for improved detection sensitivity.
- Refactored alert logic to accumulate pending alerts before saving, allowing for better management of alert metadata and image saving.
- Implemented saving of annotated alerts with unique filenames to prevent collisions.
- Refactored camera handling to support multiple cameras via environment variables.
- Added API endpoints for camera selection and retrieval of available cameras.
- Updated stream processing to dynamically switch between selected cameras.
- Integrated device selection for YOLO inference to utilize CUDA if available.
- Implemented a new camera_stream.py file for real-time video processing.
- Integrated YOLO model for detecting people in the video stream.
- Added functionality for grouping detected individuals based on proximity.
- Implemented alert system for detecting groups over a specified duration.
- Included state management for stream status and alerts.
- Utilized Flask for serving video stream and alert information.
- Configured environment variables for RTSP stream access.
ahmedmujtaba-gif
bahawal.baloch