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"Switch outside" property does not work with the Datumaro format while tracking instances #7571
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Please, fill the environment. |
@bsekachev Thank you for your quick response ! I have updated the environment field. Kindly let me know if further details are required. |
Hi, I am interested in this issue, could you please assign it to me? |
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Apr 19, 2024
…ts (#7669) <!-- Raise an issue to propose your change (https://github.com/opencv/cvat/issues). It helps to avoid duplication of efforts from multiple independent contributors. Discuss your ideas with maintainers to be sure that changes will be approved and merged. Read the [Contribution guide](https://opencv.github.io/cvat/docs/contributing/). --> <!-- Provide a general summary of your changes in the Title above --> ### Motivation and context <!-- Why is this change required? What problem does it solve? If it fixes an open issue, please link to the issue here. Describe your changes in detail, add screenshots. --> Main Issue: #7571 Related Issue: #2339 I've reproduced the issue mentioned in #7571 when exporting and importing annotations using both the Datumaro and Coco 1.0 formats. Specifically, the "Switch outside" attribute isn't being applied as expected. After some investigation, I pinpointed the root cause to be the absence of the "outside" attribute in the exported annotations. To address this, I've made adjustments to the binding.py file to bypass the track_id during annotation import. This modification appears to solve the issue regarding the "Switch outside" attribute. However, it introduces a new concern: the potential loss of information, including keyframes and track_id. While this workaround offers a temporary fix, I'm contemplating a more holistic approach that entails properly handling the "outside" attribute during both the export and import processes of annotations. This method could preserve the integrity of the annotations while ensuring the functionality of the "Switch outside" attribute. I'm reaching out for feedback or suggestions on my proposed solution. Is there a preference for one of these approaches, or might there be another avenue I haven't considered? Looking forward to your insights. ### Checklist <!-- Go over all the following points, and put an `x` in all the boxes that apply. If an item isn't applicable for some reason, then ~~explicitly strikethrough~~ the whole line. If you don't do that, GitHub will show incorrect progress for the pull request. If you're unsure about any of these, don't hesitate to ask. We're here to help! --> - [x] I submit my changes into the `develop` branch - [x] I have created a changelog fragment <!-- see top comment in CHANGELOG.md --> - [ ] I have updated the documentation accordingly - [x] I have added tests to cover my changes - [x] I have linked related issues (see [GitHub docs]( https://help.github.com/en/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword)) - [ ] I have increased versions of npm packages if it is necessary ([cvat-canvas](https://github.com/opencv/cvat/tree/develop/cvat-canvas#versioning), [cvat-core](https://github.com/opencv/cvat/tree/develop/cvat-core#versioning), [cvat-data](https://github.com/opencv/cvat/tree/develop/cvat-data#versioning) and [cvat-ui](https://github.com/opencv/cvat/tree/develop/cvat-ui#versioning)) ### License - [x] I submit _my code changes_ under the same [MIT License]( https://github.com/opencv/cvat/blob/develop/LICENSE) that covers the project. Feel free to contact the maintainers if that's a concern. --------- Co-authored-by: Maxim Zhiltsov <zhiltsov.max35@gmail.com>
Can not reproduce the problem. It seems to be fixed. |
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Labels
bug
Something isn't working
good first issue
Good for newcomers
need info
Need more information to investigate the issue
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Steps to Reproduce
Expected Behavior
---->> 8. The object's annotation polygon should not show up after uploading the saved Datumaro annotation <<---------
Possible Solution
No response
Context
I am tracking objects over multiple frames and want to remove their annotations from further images when objects are not present on the current frame. The problem with the current state is that all labels from the previous frames are being accumulated to the current frame !
Environment
Operating system : Linux 22.04
OS type : 64-bit
Using google chrome's latest version
Using CVAT docker on local system
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