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I can convert ocrnet pytorch's model to onnx(tmp.onnx), however --verify shows that: outputs between tmp.onnx and pytorch model have big difference. #881

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lyf6 opened this issue Sep 17, 2021 · 3 comments

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@lyf6
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lyf6 commented Sep 17, 2021

Thanks for your error report and we appreciate it a lot.

Checklist

  1. I have searched related issues but cannot get the expected help.
  2. The bug has not been fixed in the latest version.

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Reproduction

  1. What command or script did you run?

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  2. Did you make any modifications on the code or config? Did you understand what you have modified?

  3. What dataset did you use?

Environment

  1. Please run python mmseg/utils/collect_env.py to collect necessary environment infomation and paste it here.
  2. You may add addition that may be helpful for locating the problem, such as
    • How you installed PyTorch [e.g., pip, conda, source]
    • Other environment variables that may be related (such as $PATH, $LD_LIBRARY_PATH, $PYTHONPATH, etc.)

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@MengzhangLI
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Hi, @RunningLeon sorry for bothering again!

Could you please check out this issue when your time available? Thank you so much!

Best,

@RunningLeon
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@lyf6 Hi, sorry for the late reply. Could provide the full scripts ?

@skaldesh
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I experimented with the ONNX export quite a lot in the last days, and I have the same issue for example with Fast-SCNN and DeeplabV3Plus.
See #1044 for example

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this issue Dec 3, 2023
* fix typos in configs
* fix config path
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