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refactor: parallelizate fl annotation processing #182
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miursh
merged 4 commits into
feat/update-dataset-with-fastlabel
from
feat/fastlabel/parallelize
Dec 30, 2024
Merged
refactor: parallelizate fl annotation processing #182
miursh
merged 4 commits into
feat/update-dataset-with-fastlabel
from
feat/fastlabel/parallelize
Dec 30, 2024
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…nd DeepenToT4Converter Signed-off-by: Shunsuke Miura <[email protected]> # 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 <[email protected]>
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ktro2828
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Dec 20, 2024
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LGTM
ktro2828
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Jan 2, 2025
…#172) * feat: add T4 updater from FastLabel annotations Signed-off-by: ktro2828 <[email protected]> * fix: update conversion Signed-off-by: ktro2828 <[email protected]> * test: update tests Signed-off-by: ktro2828 <[email protected]> * feat: update FastLabel merger (#178) * update configs Signed-off-by: Shunsuke Miura <[email protected]> * add label converter to FastLabel2dToT4Converter Signed-off-by: Shunsuke Miura <[email protected]> * fix bug in from_json of surface_ann Signed-off-by: Shunsuke Miura <[email protected]> * add automatic_annotation key to sample_annotation/object_ann/surface_ann Signed-off-by: Shunsuke Miura <[email protected]> * accelerate default object_mask generation Signed-off-by: Shunsuke Miura <[email protected]> * feat: improve T4 updater functionality and directory handling Signed-off-by: Shunsuke Miura <[email protected]> * feat: support polygon-to-bbox conversion and improve polygon-to-RLE conversion * update object config Signed-off-by: Shunsuke Miura <[email protected]> * feat: update annotation loader * feat: only convert to bbox for objects labels Signed-off-by: Shunsuke Miura <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix: handling automatic_annotation entry Signed-off-by: Shunsuke Miura <[email protected]> * fix: bug fix in rle_from_points Signed-off-by: Shunsuke Miura <[email protected]> * fix: add default value for automatic_annotation Signed-off-by: Shunsuke Miura <[email protected]> --------- Signed-off-by: Shunsuke Miura <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * feat: enhance surface category handling in AnnotationFilesGenerator and DeepenToT4Converter (#180) * feat: enhance surface category handling in AnnotationFilesGenerator and DeepenToT4Converter Signed-off-by: Shunsuke Miura <[email protected]> * delete unnecessary import Signed-off-by: Shunsuke Miura <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Shunsuke Miura <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * refactor: parallelizate fl annotation processing (#182) * feat: enhance surface category handling in AnnotationFilesGenerator and DeepenToT4Converter Signed-off-by: Shunsuke Miura <[email protected]> # 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 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * refactor: parallelizate fl annotation processing Signed-off-by: Shunsuke Miura <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Shunsuke Miura <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * remove duplicate key in object.yaml Signed-off-by: Shunsuke Miura <[email protected]> * feat(fastalbel_to_t4dataset): fix keyframe handling (#187) * merge _load_annotation_jsons function to one Signed-off-by: Shunsuke Miura <[email protected]> * add default value for automatic_annotation Signed-off-by: Shunsuke Miura <[email protected]> * change to non-keyframe for no-annotation frame Signed-off-by: Shunsuke Miura <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove unused import Signed-off-by: Shunsuke Miura <[email protected]> --------- Signed-off-by: Shunsuke Miura <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * change import path Signed-off-by: Shunsuke Miura <[email protected]> * Revert "refactor: parallelizate fl annotation processing (#182)" This reverts commit 3872c99. * refactor: FastLabel annotation processing for parallel execution Signed-off-by: Shunsuke Miura <[email protected]> * supress no-3D annotation warning Signed-off-by: Shunsuke Miura <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: ktro2828 <[email protected]> Signed-off-by: Shunsuke Miura <[email protected]> Co-authored-by: Shunsuke Miura <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Shunsuke Miura <[email protected]>
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This pull request introduces parallel processing to the
fastlabel_2d_to_t4_converter.py
to 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
: ImportedProcessPoolExecutor
andas_completed
fromconcurrent.futures
to enable parallel processing.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py
: Refactored_format_fastlabel_annotation
to process annotations for each file in parallel using the new_process_annotations_for_file
method.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py
: Addedprocess_annotation
method to handle individual annotation processing tasks.perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_converter.py
: Added_process_annotations_for_file
method to manage parallel processing of annotations usingProcessPoolExecutor
.