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codecov bot commented Oct 13, 2025

Codecov Report

❌ Patch coverage is 50.00000% with 8 lines in your changes missing coverage. Please review.
✅ Project coverage is 85.55%. Comparing base (ff91433) to head (d1c79a6).
⚠️ Report is 55 commits behind head on main.

Files with missing lines Patch % Lines
sleap_nn/train.py 0.00% 4 Missing ⚠️
sleap_nn/training/lightning_modules.py 66.66% 2 Missing ⚠️
sleap_nn/training/model_trainer.py 0.00% 2 Missing ⚠️

❌ Your patch status has failed because the patch coverage (50.00%) is below the target coverage (95.00%). You can increase the patch coverage or adjust the target coverage.

❗ There is a different number of reports uploaded between BASE (ff91433) and HEAD (d1c79a6). Click for more details.

HEAD has 3 uploads less than BASE
Flag BASE (ff91433) HEAD (d1c79a6)
4 1
Additional details and impacted files
@@            Coverage Diff             @@
##             main     #356      +/-   ##
==========================================
- Coverage   95.28%   85.55%   -9.74%     
==========================================
  Files          49       49              
  Lines        6765     7115     +350     
==========================================
- Hits         6446     6087     -359     
- Misses        319     1028     +709     

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- `val_labels_path`: (list) List of paths to your validation data (`.slp` file(s)). If not specified, the validation set will be automatically created by sampling a fraction of the training data according to `validation_fraction`. **Default**: `None`.
- `validation_fraction`: (float) Float between 0 and 1 specifying the fraction of the training set to sample for generating the validation set. The remaining labeled frames will be left in the training set. If the `validation_labels` are already specified, this has no effect. **Default**: `0.1`
- `test_file_path`: (str) Path to test dataset (`.slp` file or `.mp4` file). **Note**: This is used only with CLI to get evaluation on test set once training is completed. **Default**: `None`
- `test_file_path`: (list | str) List of paths or path to test dataset (`.slp` file or `.mp4` file). **Note**: This is used only with CLI to get evaluation on test set once training is completed. **Default**: `None`
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todo: Please change this to accept only lists

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