Check class_id validity in DetectionDataset #1536
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src/super_gradients/training/datasets/detection_datasets/detection_dataset.py
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src/super_gradients/training/datasets/detection_datasets/yolo_format_detection.py
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…#1533) * Ensure that `checkpoint_num_classes` is propagated from YAML to models.get() * Red checkpoint_num_classes via get_params
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* first draft * fix * fix * fix detectiondataset * Ensure that `checkpoint_num_classes` is propagated from YAML to model (#1533) * Ensure that `checkpoint_num_classes` is propagated from YAML to models.get() * Red checkpoint_num_classes via get_params * Fixed a bug in export() that prevented to export model for BS>1 (#1530) * Remove unnecessary files (#1540) * remove check on base class --------- Co-authored-by: Eugene Khvedchenya <ekhvedchenya@gmail.com>
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* first draft * fix * fix * fix detectiondataset * Ensure that `checkpoint_num_classes` is propagated from YAML to model (#1533) * Ensure that `checkpoint_num_classes` is propagated from YAML to models.get() * Red checkpoint_num_classes via get_params * Fixed a bug in export() that prevented to export model for BS>1 (#1530) * Remove unnecessary files (#1540) * remove check on base class --------- Co-authored-by: Eugene Khvedchenya <ekhvedchenya@gmail.com>
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2 checks were added to make sure class_id is in the range of (0, num_classes-1)
DetectionDataset: added a check when loading annotations and raise an exception if this happensYoloDarknetDataset: add a check when parsing.