feat(evaluation): add evaluator#154
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Signed-off-by: ktro2828 <kotaro.uetake@tier4.jp>
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* feat: add evaluator Signed-off-by: ktro2828 <kotaro.uetake@tier4.jp> * fix: update the usage of Tier4 Signed-off-by: ktro2828 <kotaro.uetake@tier4.jp> --------- Signed-off-by: ktro2828 <kotaro.uetake@tier4.jp>
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This pull request introduces a new evaluation framework for perception tasks, refactoring and extending the evaluation module to support a wider range of tasks, including segmentation, and providing a new, unified configuration and evaluator interface. The changes include the addition of new configuration and evaluator classes, updates to dataset handling for more generic annotation types, and extensions to the
EvaluationTaskenum to support segmentation tasks. Documentation and tests are updated accordingly.Evaluation Framework Enhancements:
PerceptionEvaluationConfigandPerceptionEvaluatorclasses to provide a unified configuration and evaluation interface for perception tasks. (t4_devkit/evaluation/config.py,t4_devkit/evaluation/evaluator.py,t4_devkit/evaluation/__init__.py) [1] [2] [3]EvaluationObjectLikeinstead of only boxes), and added preliminary support for segmentation tasks. (t4_devkit/evaluation/dataset.py) [1] [2] [3] [4]Task Enumeration Extensions:
EvaluationTaskto include segmentation tasks (SEGMENTATION3D,SEGMENTATION2D) and added helper methods (is_3d,is_2d,is_segmentation) for task type checks. (t4_devkit/evaluation/task.py)tests/evaluation/test_task.py)Documentation Updates:
docs/tutorials/evaluation.md,mkdocs.yaml) [1] [2]