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Update README.md
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PINTO0309 authored Dec 12, 2023
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Expand Up @@ -69,18 +69,6 @@ Lightweight human detection model generated using a high-quality human dataset.
pip install tensorflow
```
```
usage: demo_yolox_onnx_tfite.py [-h] [-m MODEL] [-v VIDEO] [-ep {cpu,cuda,tensorrt}]
options:
-h, --help
show this help message and exit
-m MODEL, --model MODEL
ONNX/TFLite file path for YOLOX.
-v VIDEO, --video VIDEO
Video file path or camera index.
-ep {cpu,cuda,tensorrt}, --execution_provider {cpu,cuda,tensorrt}
Execution provider for ONNXRuntime.
usage: demo_yolox_onnx_tfite.py [-h] [-m MODEL] [-v VIDEO] [-ep {cpu,cuda,tensorrt}] [-dvw]
options:
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