Add XY position of cursor in image

[Crescent-Saturn]

My actions before raising this issue

• [x] Read/searched the docs
• [x] Searched past issues

Expected Behaviour

Since in the final annotation file, we can have the positions of all the annotations.

Is is possible to display the XY coordinates when moving the cursor over the image in the interface?

Current Behaviour

Possible Solution

• Display XY coordinates directly in the cursor position
• Display XY coordinates in a status bar added on the bottom of current interface (screenshot above)

Steps to Reproduce (for bugs)

Context

With this feature, it will be easier to verify the annotation position relating to the image dimension.

Thanks for consideration!

Your Environment

• Git hash commit (git log -1): commit 1da608da4a6d034fa1c248ebfba7100e7018f622 (HEAD -> docs-develop, origin/docs-develop)
• Docker version docker version (e.g. Docker 17.0.05): Docker version 19.03.1, build 74b1e89
• Are you using Docker Swarm or Kubernetes? No
• Operating System and version (e.g. Linux, Windows, MacOS): Ubuntu 18.04
• Code example or link to GitHub repo or gist to reproduce problem:
• Other diagnostic information / logs:
  Logs from `cvat` container

Next steps

You may join our Gitter channel for community support.

[bsekachev]

Techincally, it is possible (I suppose we also should have a setting to enable/disable the feature to not overload interface when users don't need the feature), let us know if you can help with the implementation.

[nmanovic]

@Crescent-Saturn , could you please explain how you are going to use the feature? Why do you need it?

[Crescent-Saturn]

@nmanovic , thanks for the following. Yes. What's the default image display engine in CVAT? When I use CVAT, I found it would be more helpful if I can see the XY coordinates of the cursor in the status bar, just like the matplotlib.pyplot.imshow does (I think that displaying directly on the cursor position may distract user's attention). With this feature, it will be easier to track the annotation when compared to the image.

Thank you and CVAT team for the consideration! 🚀