PyTorch-based traffic camera object detection starter with Intel optimization tools
Reference kit providing an end-to-end machine learning workflow for traffic camera object detection using PyTorch, Intel Neural Compressor, Intel Optimizations for PyTorch, and OpenVINO. It includes dataset preprocessing, training and inference scripts, model quantization and conversion for edge deployment, suited for real-time traffic monitoring and edge inference use cases.
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