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Why output_tensors=["Placeholder:0", "concat_9:0", "mul_9:0"] #16
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Because after the network output, we still have further operation, such as loss calculation, etc.
It is tensorflow convention when we wanna call a value from a tensor by tensor name, we need to add |
Thank you very much for your reply,I am currently researching yolov3 to TensorRT,your project has helped me a lot. There is still a question I would like to ask,why do we choose output_tensor to be "concat_9" and "mul_9", or what are their return values? the model is very troubled by me. |
Those only tensor names. Everyone can name the tensor any name he wants. Those output in object detector correspond to the outputs of classification and bonding box predictions. |
Hey, I am confused. Where did you get this model architecture from? Did you fork YunYang's model. More specifically, why is NMS part of your model ? |
I wonder how you got your yolov3 model file |
I wan to know why output_tensors=["Placeholder:0", "concat_9:0", "mul_9:0"], these three nodes are not at the end of the model. And what does ":0" mean? Please advise,thank you.
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