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huastant
LPR
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a811962e
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a811962e
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Jul 27, 2023
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huastant
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Update README.md
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@@ -59,6 +59,7 @@ LPR模型用test.py对训练出的模型进行测试,使用方法如下:
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@@ -59,6 +59,7 @@ LPR模型用test.py对训练出的模型进行测试,使用方法如下:
--export_onnx True/False(该参数用于选择是否需要将pth模型转为onnx模型) \
--export_onnx True/False(该参数用于选择是否需要将pth模型转为onnx模型) \
--dynamic True/False(该参数用于选择onnx模型是否使用动态的batch size)
--dynamic True/False(该参数用于选择onnx模型是否使用动态的batch size)

### 推理
### 推理
我们分别提供了基于ONNXruntime(ORT)和Migraphx的推理脚本,版本依赖:
我们分别提供了基于ONNXruntime(ORT)和Migraphx的推理脚本,版本依赖:
*
ONNXRuntime(DCU版本) >= 1.14.0
*
ONNXRuntime(DCU版本) >= 1.14.0
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