Update ultralytics models (take two)

[dreadatour]

Update Ultralytics YOLO models to be used in SaaS.

This adds:

• Segment model and common YoloBBox, YoloBBoxes, YoloPose, YoloPoses, YoloSegment and YoloSegments models to be used to parse ultralytics results
• Ultralytics models usage examples
• Move models from datachain.lib.models to datachain.model (I suppose to move datachain.lib.data_model to datachain.model in future to slowly get rid of lib package)

[codecov]

Codecov Report

Attention: Patch coverage is 73.33333% with 64 lines in your changes missing coverage. Please review.

Project coverage is 87.64%. Comparing base (894c13d) to head (c80c920).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/datachain/model/ultralytics/bbox.py	51.61%	30 Missing ⚠️
src/datachain/model/ultralytics/pose.py	69.64%	17 Missing ⚠️
src/datachain/model/ultralytics/segment.py	55.26%	17 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #613      +/-   ##
==========================================
- Coverage   88.04%   87.64%   -0.40%     
==========================================
  Files         102      106       +4     
  Lines       10086    10280     +194     
  Branches     1373     1385      +12     
==========================================
+ Hits         8880     9010     +130     
- Misses        865      929      +64     
  Partials      341      341              

Flag	Coverage Δ
datachain	87.58% <73.33%> (-0.40%)	⬇️

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[0x2b3bfa0]

/vlad lint 🙏

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View logs

[dreadatour]

Attention: Patch coverage is 73.33333% with 64 lines in your changes missing coverage. Please review.

src/datachain/model/ultralytics/bbox.py 51.61% 30 Missing ⚠️
src/datachain/model/ultralytics/pose.py 69.64% 17 Missing ⚠️
src/datachain/model/ultralytics/segment.py 55.26% 17 Missing ⚠️

These methods are tested in examples (1, 2, 3). Adding tests for them requires installing ultralytics dependency and downloading models, which will increase tests run time. Still not sure if this is a good idea. Also we can do it in follow-up PRs.