Require pillow>=10.0.0, catch drise failure due to low mask_res or num_masks

[romanlutz]

Description

In telemetry, we found that two exceptions were thrown. Firstly, drise throws ValueError when num_masks or mask_res are too low. This is caught by the try-except block and the _get_fail_str method subsequently runs into an AttributeError because it doesn't have a textsize method. This is due to a breaking change in v10.0.0 of Pillow.

This PR therefore

• requires Pillow>=10.0.0 explicitly so that dependencies can't later accidentally downgrade us. We are already using Pillow==10.0.0 in our environments, so this isn't necessarily a change, just insurance.
• uses the new method textbbox instead of textsize from Pillow which avoids the second exception
• catches the ValueError from drise and provides a corresponding user error with informative message to the user.

A simple way to reproduce this is to take our dpv2 test cases and run test_object_detection_pipeline_rai.yaml with num_masks=1 and max_evals=10 (to make it faster).

Checklist

• I have added screenshots above for all UI changes.
• I have added e2e tests for all UI changes.
• Documentation was updated if it was needed.

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[codecov-commenter]

Codecov Report

Merging #2181 (7b6576f) into main (8898e82) will decrease coverage by 0.26%.
Report is 3 commits behind head on main.
The diff coverage is 0.00%.

@@            Coverage Diff             @@
##             main    #2181      +/-   ##
==========================================
- Coverage   78.34%   78.09%   -0.26%     
==========================================
  Files          26       26              
  Lines        2152     2159       +7     
==========================================
  Hits         1686     1686              
- Misses        466      473       +7     

Flag	Coverage Δ
unittests	78.09% <0.00%> (-0.26%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files Changed	Coverage Δ
...responsibleai_vision/managers/explainer_manager.py	62.97% <0.00%> (-1.32%)	⬇️