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Run on CPU about anylabeling HOT 8 CLOSED

vietanhdev avatar vietanhdev commented on May 16, 2024
Run on CPU

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Comments (8)

vietanhdev avatar vietanhdev commented on May 16, 2024

It is only a warning - does not cause any problem with your program.

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ZJZ0405 avatar ZJZ0405 commented on May 16, 2024

It is only a warning - does not cause any problem with your program.

I was able to open the program normally, but when I used autotagging, the program crashed.I use ubuntu-desktop-20.04 and it tells me "Segmentation fault".I don't know why this happened.

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frankool avatar frankool commented on May 16, 2024

but with this GPU is running?

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ZJZ0405 avatar ZJZ0405 commented on May 16, 2024

but with this GPU is running?

I read the source code and found that there are judgments about GPU and CPU. If I don't use GPU-accelerated DNN, I can open the software's GUI normally, but when I use the "Auto Labeling" function, the software will crash during loading. Because of this troublesome error message "segmentation fault", I cannot solve this problem without reading the source code completely. However, the problem may also be caused by not using "conda" to build the environment.

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vietanhdev avatar vietanhdev commented on May 16, 2024

@ZJZ0405 Please try with the newest code from master or v0.2.14 to see if the "Segmentation fault" is still there.

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ZJZ0405 avatar ZJZ0405 commented on May 16, 2024

I still have the above problem. [Does your program support the function of inputting images with different sizes from those preset in ”yaml“?

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vietanhdev avatar vietanhdev commented on May 16, 2024

If your program runs without crashing, it's only a warning.

  • Please update to the latest version v0.2.21.
  • Please open another issue for this: Does your program support the function of inputting images with different sizes from those preset in ”yaml“?

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ZJZ0405 avatar ZJZ0405 commented on May 16, 2024

@vietanhdev I found that I couldn’t add a custom model by changing the yaml after I upgraded to the new version. I plan to give up using it on the native system and switch to using it in the conda environment.

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