Add video path and frame indices to metrics

[roomrys]

Description

Multiple people have asked if there might be a way to link back to frames where the model has performed poorly on as a way of either determining whether a certain video is culprit or mislabeled instances are culprit. This PR specifically follows the code provided by @adam-matic in #1253.

While this PR does not tie distances to the instances like a Dataframe might accomplish, it returns the instances (in a dictionary) in the same order as the distances. Feel free to suggest improvements!

Types of changes

• [ ] Bugfix
• [x] New feature
• [ ] Refactor / Code style update (no logical changes)
• [ ] Build / CI changes
• [ ] Documentation Update
• [ ] Other (explain)

Does this address any currently open issues?

• 1253

Outside contributors checklist

• [ ] Review the guidelines for contributing to this repository
• [ ] Read and sign the CLA and add yourself to the authors list
• [ ] Make sure you are making a pull request against the develop branch (not main). Also you should start your branch off develop
• [ ] Add tests that prove your fix is effective or that your feature works
• [ ] Add necessary documentation (if appropriate)

Thank you for contributing to SLEAP!

:heart:

[codecov[bot]]

Codecov Report

Merging #1396 (fd084af) into develop (fb61b6c) will increase coverage by 0.17%. The diff coverage is 100.00%.

@@             Coverage Diff             @@
##           develop    #1396      +/-   ##
===========================================
+ Coverage    72.78%   72.95%   +0.17%     
===========================================
  Files          133      133              
  Lines        23718    23726       +8     
===========================================
+ Hits         17263    17310      +47     
+ Misses        6455     6416      -39     

Impacted Files	Coverage Δ
sleap/nn/training.py	75.79% <ø> (ø)
sleap/nn/evals.py	92.46% <100.00%> (+17.46%)	:arrow_up:

... and 1 file with indirect coverage changes

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