def deployment_args():
parser = argparse.ArgumentParser()
parser.add_argument('-p','--pth_path',help='pytorch weigths path')
parser.add_argument('-o','--onnx_save_path')
parser.add_argument('--input_shape',default=(1, 3, 224, 224))
parser.add_argument('--embedding_layers', choices=['1_2', '2_3'], default='2_3')
python trt_tools/export_onnx.py -p weights/wide_r50_2.pth -o weights/wide_r50_2.onnx
Windows 10
<TensorRT installpath>/bin/tetexec.exe --onnx=ROOT/weights/wide_r50_2.onnx --saveEngine=ROOT/weights/wide_r50_2.trt
Linux
<TensorRT installpath>/bin/tetexec --onnx=ROOT/weights/wide_r50_2.onnx --saveEngine=ROOT/weights/wide_r50_2.trt