image-annotation

Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.

To Reproduce

If there is a hot key (move the image from left to right) can get the feature when I was annotating the polygon.
The scroll of mouse can achieve the up and down direction of image, but if I need the move the image from left to right, I have to drag the bottom bar.
If there is a hotkey to drag the whole image or to move the image horizontal?
Thank you!

My actions before raising this issue

• Read/searched the docs
• Searched past issues

Expected Behaviour

I want to access the traefik dashboard. I have cvat setup on a server with https. I modified the docker-compose.https.yml according to the comment for using the traefik dashboard. So included the lin

Add a way to change the sample id output in the annotation process to a specific number (see picture).

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to

HI @virajmavani, I have annotated using this semi-automated tool, but I am getting confused with the (xmin, ymin), (xmax, ymax) that I have got after annotating as they won't match on original images. How can I convert it those annotated co-ordinates back to original image dimensions?

Similar to #3, there can be cases where the label is not drawn/written if the coordinates are outside of the frame. In that case, the label should fallback to the regular label.

Like the "From this node to the previous node with a defined radius" mode, but interpolates radii for intermediate nodes by distance, just like how virtual nodes are drawn in the tracing overlay. When rapidly adding radii to existing skeletons, this would produce much smoother and more representative annotations.