Data pipeline refactoring #300
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I will solve SVTR First and move to this |
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- Fixed bug that caused evaluation crash if no postprocessing is set. - Fixed `DetBasePostprocess` class import from outside and refactored it. - Moved training condition check to initialization in `RandomScale` as this condition needs to be checked once only. - Reverted linting in `mindocr/data/builder.py` to avoid complicated merge conflicts with the new pipeline (#300). - Set `shape_list` as numpy array throughout the project. - Removed polygons clipping in `DBPostprocess` to keep all the clippings in one place (`DetBasePostprocess`).
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Rebased onto the |
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Re-opened in #416 . |
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Motivation
Refactored data pipeline to match best MindData practices, including:
GeneratorDatasetfor data loading only.dataset.mapoperation to apply data transformations and augmentations.Decode,Normalize,HWC2CHW).