Automatic annotation YOLO error
See original GitHub issueMy actions before raising this issue
- Read/searched the docs
- Searched past issues
Expected Behaviour
Using Yolo-v3 AI tool should give the detected bboxes as annotations in CVAT.
Current Behaviour
After clicking “Annotate” I get this error in the CVAT UI:
Detection error occured
Error: "state label" is expected to be Label, but "undefined" has been got.
Possible Solution
Possibly CVAT error in handling the response from nuclio?
Steps to Reproduce (for bugs)
- Open a video labeling job in Chrome e.g. http://localhost:8080/tasks/1/jobs/1
- Click “AI Tools” -> Detectors -> set “person” and “cell phone” labels mapping
- Click “Annotate”
Context
I am trying to use Yolo-v3 via nuclio for automatic annotation of videos. I followed the instructions for setting up automatic annotation. Confirmed that the Yolo nuclio function is working by using advice from this issue: https://github.com/openvinotoolkit/cvat/issues/2641#issuecomment-755348090 In addition to this the automatic annotation for the whole video (job) also doesn’t work. It shows the progress bar and finishes without errors, but then there are no annotations made.
Your Environment
- using CVAT v1.2.0
- Docker version 20.10.2
- docker-compose version 1.24.1
- Ubuntu 18.04.05
Issue Analytics
- State:
- Created 3 years ago
- Comments:11 (4 by maintainers)
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Top GitHub Comments
@whiteocean016
So, finally I was able to reproduce the issue and glad to say that it has been already fixed in #2725. Please, update CVAT from develop branch and thanks for your support.
Also one more PR has been recently submitted #2780 to fix quite serious usability issue with AI Tools #2753 and I would recommend you to wait it to be merged (I hope we will do it tomorrow).
@AlexandrMoruk FYI
I’ll close the issue, but if you still have questions, please ask.
I solved this problem. For creating a task, you must define labels exclusively for that task and the task must not belong to any project.