Comments (4)
Is it the same as #16 ?
Pressing ctrl + delete, you can move the image to the deleted folder which we create.
So that images which are ready to train remain in the original folder.
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yes, but when you discard lot of images is not so practical
from rectlabel-support.
Sometimes in the train corpus, we can see the same image twice or an image that we do not want to label (since it has nothing to do here). So we need to delete it.
This is the use case to move images in #16.
It would be useful to have a prefix or re-locate tagged images to a different folder
This is your use case.
Could you tell us the details of your use case and how to implement it?
Usually all images with annotations would be ready to train.
from rectlabel-support.
Added "Move image" and removed "Delete image". You can specify both images folder and annotations folder.
The new update version 2.09 was released.
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Related Issues (20)
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- How to export an annotation which includes both the bounding box and the polygon for the Mask R-CNN architecture HOT 1
- Linux HOT 1
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- Is there a way to convert a custom dataset with 8 keypoints? HOT 3
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