使用ONNXRuntime部署面向轻量实时的M-LSD直线检测，包含C++和Python两个版本的程序
冒昧的打扰:
用您给的onnx文件可以顺利的进行img的推导
然后用官方代码 https://github.com/lhwcv/mlsd_pytorch.git 用trt_converter.py 进行onnx的转化可顺利进行, 同时
onnx_model = onnx.load(out_file), onnx.checker.check_model(onnx_model)检查没有问题.
但是加载自己转化后的onnx文件,加载阶段出现问题如下:
self.input_name = self.onnx_session.get_inputs()[0].name
print(" input name is: ", self.input_name)
#input_name: input_image_with_alpha:0
#not good: pading0
self.output_names = [self.onnx_session.get_outputs()[i].name for i in range(3)]
print(" output name is: ", self.output_names)
# ['Identity', 'Identity_1', 'Identity_2']
#not good: list index out of range
我该如何修改,或者怎么得到您的帮助
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