Bump dependency versions to fix compatibility with Python 3.10 (#5380)

* rq 1.5.1 uses `collections.Iterable` (long deprecated and deleted in
Python 3.10). 1.5.2 fixes this issue. To avoid potential regressions,
don't bump the version further.

* av 8.0.2 was built with old Cython, which generates C code
incompatible with Python 3.10. The newest version is av 10.0.0, but that
drops support for FFmpeg<4.3, which would make it unbuildable using the
default Ubuntu 20.04 FFmpeg packages. To avoid that problem, use the
previous version, 9.2.0.

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### Motivation and context
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fixes an open
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This makes it possible to run CVAT on Python 3.10.

Fixes #5262. 

### How has this been tested?
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I'm relying on CI.

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- [x] I submit my changes into the `develop` branch
- ~~[ ] I have added a description of my changes into
[CHANGELOG](https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md)
file~~
- ~~[ ] I have updated the [documentation](
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accordingly~~
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- ~~[ ] I have increased versions of npm packages if it is necessary
([cvat-canvas](https://github.com/cvat-ai/cvat/tree/develop/cvat-canvas#versioning),

[cvat-core](https://github.com/cvat-ai/cvat/tree/develop/cvat-core#versioning),
[cvat-data](https://github.com/cvat-ai/cvat/tree/develop/cvat-data#versioning)
and
[cvat-ui](https://github.com/cvat-ai/cvat/tree/develop/cvat-ui#versioning))~~

### License

- [x] I submit _my code changes_ under the same [MIT License](
https://github.com/cvat-ai/cvat/blob/develop/LICENSE) that covers the
project.
  Feel free to contact the maintainers if that's a concern.

cvat/requirements/base.txt

@@ -15,7 +15,7 @@ rcssmin==1.0.6
 redis==3.5.3
 rjsmin==1.1.0
 requests==2.26.0
-rq==1.5.1
+rq==1.5.2
 rq-scheduler==0.10.0
 sqlparse==0.4.2
 django-sendfile2==0.7.0
@@ -36,7 +36,7 @@ opencv-python-headless==4.5.5.62
 h5py==3.6.0
 django-cors-headers==3.5.0
 furl==2.1.0
-av==8.0.2 --no-binary=av
+av==9.2.0 --no-binary=av
 tensorflow==2.9.3 # Optional requirement of Datumaro. Use tensorflow-macos==2.8.0 for Mac M1
 # The package is used by pyunpack as a command line tool to support multiple
 # archives. Don't use as a python module because it has GPL license.

utils/dataset_manifest/requirements.txt

@@ -1,4 +1,4 @@
-av==8.0.2 --no-binary=av
+av==9.2.0 --no-binary=av
 opencv-python-headless==4.4.0.42
 Pillow==9.3.0
 tqdm==4.58.0