Comments (2)
It can be done, if a lot of people want this feature, I can add it. Please react to original post to indicate interest. Feel free to work on this feature too, I'll accept a pull request that adds this functionality.
Suggested workaround: I would recommend uploading the dataset to CVAT (it should be super easy to do that), and using that for label verification (and deleting).
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I'll be adding this feature tonight.
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Related Issues (20)
- Failed to run, maybe caused by parsing annotations.json HOT 2
- Some GUI problems HOT 3
- TypeError: 'torch._C.Value' object is not iterable HOT 1
- remote labeling HOT 1
- Package libffi conflict
- Pink line generated from the top left corner of the image HOT 2
- Excluded regions are still getting annotated within the annotated area of the image.
- IndexError: list index out of range
- How to do box labeling mode? I left clicked just marked the mask HOT 1
- Error for low quality image HOT 2
- An error occurred when importing the labeling results into cvat, has anyone encountered it? HOT 1
- When you add it, you get this extra piece. How to solve HOT 1
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (8,) + inhomogeneous part. HOT 1
- Suggestion - Integrate MobileSAM into the pipeline for lightweight and faster inference HOT 1
- Error when clicking middle mouse button
- There is a problem with the reshape node exported by ONNX. I checked the network structure and found that it is only a simple reshape node. Have you encountered this problem
- check this problem, has been quite persistent, when creating a label which is partially covered under a label. Crashing Frequntly HOT 1
- Unreasonable segmentation results HOT 1
- A bug occur when I want to change the categories HOT 1
- Support for adding custom model? HOT 5
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