refactor: parallelizate fl annotation processing #182
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…nd DeepenToT4Converter Signed-off-by: Shunsuke Miura <shunsuke.miura@tier4.jp> # Conflicts: # perception_dataset/deepen/deepen_to_t4_converter.py # perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py # perception_dataset/t4_dataset/annotation_files_generator.py
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Signed-off-by: Shunsuke Miura <shunsuke.miura@tier4.jp>
for more information, see https://pre-commit.ci
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This pull request introduces parallel processing to the
fastlabel_2d_to_t4_converter.pyto improve the performance of annotation processing. The most important changes include importing necessary modules for parallel processing, refactoring the annotation formatting function, and adding new methods to handle parallel processing.Parallel processing improvements:
perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py: ImportedProcessPoolExecutorandas_completedfromconcurrent.futuresto enable parallel processing.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py: Refactored_format_fastlabel_annotationto process annotations for each file in parallel using the new_process_annotations_for_filemethod.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py: Addedprocess_annotationmethod to handle individual annotation processing tasks.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py: Added_process_annotations_for_filemethod to manage parallel processing of annotations usingProcessPoolExecutor.