Comments (5)
Hello, I tried to reproduce your results, but after correcting many problems, it still only completed the mask segmentation and showed that the array was out of bounds when loading the category. Is this problem caused by an error in the class name in the class? “ File "demo/artifact_detection.py", line 131, in main label_name = CLASSES[label] IndexError: list index out of range” Can you create a colab demo in your project?Thank you!
Did you solve the error? I had the same error.
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Hello, I encountered the following problem, from mmseg.apis import inference_segmentor, init_segmentor, show_seg
ImportError: cannot import name 'inference_segmentor' from 'mmseg.apis' . How to solve it.
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@Explore008 Did you follow the specific version of mmsegmentation?
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I also encountered the error, did you solve it?
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I suspect that the version of mmsegmentation in your environment is not consistent with the version specified in the README. If this is the case, you can refer to issue #9
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Related Issues (14)
- still have a plan to release the code and data for training and testing HOT 10
- Where are the final checkpoints of RealESRGAN-DeSRA and LDL-DeSRA? HOT 1
- Mismatched package versions HOT 1
- Apply other datasets
- Segformer checkpoint loading error HOT 1
- About training
- support training code for Real-ESRGan ? HOT 1
- No module in mmseg HOT 4
- FileNotFoundError: checkpoints/segformer_mit-b5_640x640_160k_ade20k_20220617_203542-940a6bd8.pth can not be found. HOT 5
- Function name problem in In artifact_detection.py HOT 1
- About MSE model HOT 4
- How to make "GT-Mask", "DeSRA-Mask"?? HOT 1
- ImportError: cannot import name 'inference_segmentor' from 'mmseg.apis' HOT 18
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