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| ## ByteTrack-ONNXRuntime in Python | |
| This doc introduces how to convert your pytorch model into onnx, and how to run an onnxruntime demo to verify your convertion. | |
| ### Convert Your Model to ONNX | |
| ```shell | |
| cd <ByteTrack_HOME> | |
| python3 tools/export_onnx.py --output-name bytetrack_s.onnx -f exps/example/mot/yolox_s_mix_det.py -c pretrained/bytetrack_s_mot17.pth.tar | |
| ``` | |
| ### ONNXRuntime Demo | |
| You can run onnx demo with **16 FPS** (96-core Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz): | |
| ```shell | |
| cd <ByteTrack_HOME>/deploy/ONNXRuntime | |
| python3 onnx_inference.py | |
| ``` | |