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Download deploy/TensorRT/python/README.md from ECCV2022/bytetrack: direct link, hf CLI and curl.
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https://huggingface.co/spaces/ECCV2022/bytetrack/resolve/main/deploy/TensorRT/python/README.md
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hf download hf://spaces/ECCV2022/bytetrack/deploy/TensorRT/python/README.md
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curl -L -o README.md https://huggingface.co/spaces/ECCV2022/bytetrack/resolve/main/deploy/TensorRT/python/README.md
777 Bytes
A newer version of the Gradio SDK is available: 6.30.0
ByteTrack-TensorRT in Python
Install TensorRT Toolkit
Please follow the TensorRT Installation Guide and torch2trt gitrepo to install TensorRT (Version 7 recommended) and torch2trt.
Convert model
You can convert the Pytorch model “bytetrack_s_mot17” to TensorRT model by running:
cd <ByteTrack_HOME>
python3 tools/trt.py -f exps/example/mot/yolox_s_mix_det.py -c pretrained/bytetrack_s_mot17.pth.tar
Run TensorRT demo
You can use the converted model_trt.pth to run TensorRT demo with 130 FPS:
cd <ByteTrack_HOME>
python3 tools/demo_track.py video -f exps/example/mot/yolox_s_mix_det.py --trt --save_result