Code generation error (loadDeepL​earningNet​work)

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Chanhyeok
Chanhyeok 2023-7-9
编辑： Sayan Saha 2023-7-11
I saw the example and followed.
https://kr.mathworks.com/help/supportpkg/raspberrypiio/ref/identify-objects-within-video-using-resNet-50-on-raspberry-pi-hardware.html?s_tid=srchtitle_raspberry%20resnet_1
However, I would like to replace my newly created resnet50 neural network, not the pre-trained resnet50 neural network provided by Matlab. I actually made it, and it works well on the Matlb. However, when deploying to Raspberry Pi, loadDeeplelearningnetwork function keeps failing. What's the cause?
Does it matter if my gpu is AMD? Matlab coder is NVIDIA compatible..
this is my function
this is deploy function
errors
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Ram Kokku
Ram Kokku 2023-7-11
@Chanhyeok, The coders will use the second argument as the recommended name for the C++ class generated for the deep learning network. you can give a simple dummy character array, preferable a single word - for example, 'MyDLClass' or 'my_dummy_string'.
you can find more about this argument here : https://www.mathworks.com/help/gpucoder/ref/coder.loaddeeplearningnetwork.html#d124e9416

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Sayan Saha
Sayan Saha 2023-7-11
编辑：Sayan Saha 2023-7-11
Hello @Chanhyeok, are you trying to codegen in a folder that has non-ASCII characters in it's path? If so, can you change to a directory that has only ASCII characters in it's full-path and see if that resolves the issue. Note that codegen is not currently supported for non-ASCII characters https://www.mathworks.com/help/coder/ug/code-generation-for-characters.html.

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