Drop support of the TFRecord format #7416
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LGTM, could you resolve the conflict? |
This can provide useful statistics on the use of this functionality. Note that I chose to use the same scope for operations on projects, tasks and jobs, because the import/export operations work more-or-less the same on each of them and have the same parameters. It's still possible to distinguish which type of object the operation was performed on by examining the various `*_id` fields in the event.
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Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## develop #7416 +/- ##
===========================================
- Coverage 83.53% 83.51% -0.02%
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Files 373 372 -1
Lines 39693 39666 -27
Branches 3718 3718
===========================================
- Hits 33157 33128 -29
- Misses 6536 6538 +2
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Resolved. |
azhavoro
approved these changes
Feb 19, 2024
Merged
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Motivation and context
Usage statistics on app.cvat.ai show that this format is rarely used, with single-digit numbers of projects/tasks/jobs being exported or imported using this format. Moreover, TensorFlow's popularity appears to be shrinking, so I'm not expecting this format to make a comeback.
Meanwhile, supporting this format has a cost that has to be borne by everyone deploying CVAT, because it requires TensorFlow to be installed and loaded. This has various ill effects:
Loading time is increased. In my testing, even a command as trivial as
manage.py --helpis slowed down by 3.6 seconds. This may not seem like much, but the effect is compounded, because we have multiple processes (server + workers) all loading the same codebase. Plus, the container entrypoint may execute several Django commands.Memory usage is increased. TensorFlow adds ~100MB of RAM usage per process with data alone; and the libraries add more (although it's hard to estimate the impact of library code, since it can be shared between processes in RAM).
Docker image size is increased by ~1.5GB (when unpacked). This is more than half of the current total size! Building time is increased as well.
Overall, it seems that the drawbacks of keeping support for this format outweigh the benefits, so it's time to drop it.
How has this been tested?
Checklist
developbranch[ ] I have linked related issues (see GitHub docs)[ ] I have increased versions of npm packages if it is necessary(cvat-canvas,
cvat-core,
cvat-data and
cvat-ui)
License
Feel free to contact the maintainers if that's a concern.