76c4afb840
* Fix IoU score for classes not present in target or pred Fixes #3097 - Allow configurable not_present_score for IoU for classes not present in target or pred. Defaults to 1.0. - Also allow passing `num_classes` parameter through from iou metric class down to its underlying functional iou call. * Changelog: move IoU not-present score fix to [unreleased] * IoU: avoid recomputing class presence in target and pred Use already-computed support, true positives, and false positives to determine if a class is not present in either target or pred. * Test IoU against sklearn jaccard_score Also add TODO to test our IoU's not_present_score against sklearn's jaccard_score's zero_division when it beecomes available. * IoU: remove_bg -> ignore_index Fixes #2736 - Rename IoU metric argument from `remove_bg` -> `ignore_index`. - Accept an optional int class index to ignore, instead of a bool and instead of always assuming the background class has index 0. - If given, ignore the class index when computing the IoU output, regardless of reduction method. * Improve documentation for IoU not_present_score * Update default IoU not_present_score to 0.0 * Add note about IoU division by zero * Rename IoU not_present_score -> absent_score * Update IoU absent score changelog wording * Condense IoU absent_score argument docstring * Remove unnecessary IoU ignore_index comment * docstrings * isort * flake8 * Fix test of IoU against sklearn jaccard Use macro instead of micro averaging in sklearn's jaccard score, to match multi-class IoU, which conventionally takes per-class scores before averaging. Co-authored-by: rohitgr7 <rohitgr1998@gmail.com> |
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| accelerators | ||
| callbacks | ||
| core | ||
| loggers | ||
| metrics | ||
| overrides | ||
| plugins | ||
| profiler | ||
| trainer | ||
| tuner | ||
| utilities | ||
| __init__.py | ||
| py.typed | ||