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Oleksandr Bezdieniezhnykh
8116b55813
- Updated the autopilot state to reflect the current task status as in progress. - Refactored the inference module to streamline model downloading and conversion processes, replacing the download_model method with a more efficient load_source method. - Introduced asynchronous model building in the inference module to enhance performance during model conversion. - Enhanced the engine factory to include a new method for building and caching models, improving error handling and logging during the upload process. - Added calibration cache handling in the Jetson TensorRT engine for better resource management. Made-with: Cursor
Azaion.Detections
Cython/Python service for YOLO inference (TensorRT / ONNX Runtime). GPU-enabled container.