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Refactor the task_datasets module: 1. Add new module modelscope.msdatasets.dataset_cls.custom_datasets. 2. Add new function: modelscope.msdatasets.ms_dataset.MsDataset.to_custom_dataset(). 2. Add calling to_custom_dataset() func in MsDataset.load() to adapt new custom_datasets module. 3. Refactor the pipeline for loading custom dataset: 1) Only use MsDataset.load() function to load the custom datasets. 2) Combine MsDataset.load() with class EpochBasedTrainer. 4. Add new entry func for building datasets in EpochBasedTrainer: see modelscope.trainers.trainer.EpochBasedTrainer.build_dataset() 5. Add new func to build the custom dataset from model configuration, see: modelscope.trainers.trainer.EpochBasedTrainer.build_dataset_from_cfg() 6. Add new registry function for building custom datasets, see: modelscope.msdatasets.dataset_cls.custom_datasets.builder.build_custom_dataset() 7. Refine the class SiameseUIETrainer to adapt the new custom_datasets module. 8. Add class TorchCustomDataset as a superclass for custom datasets classes. 9. To move modules/classes/functions: 1) Move module msdatasets.audio to custom_datasets 2) Move module msdatasets.cv to custom_datasets 3) Move module bad_image_detecting to custom_datasets 4) Move module damoyolo to custom_datasets 5) Move module face_2d_keypoints to custom_datasets 6) Move module hand_2d_keypoints to custom_datasets 7) Move module human_wholebody_keypoint to custom_datasets 8) Move module image_classification to custom_datasets 9) Move module image_inpainting to custom_datasets 10) Move module image_portrait_enhancement to custom_datasets 11) Move module image_quality_assessment_degradation to custom_datasets 12) Move module image_quality_assmessment_mos to custom_datasets 13) Move class LanguageGuidedVideoSummarizationDataset to custom_datasets 14) Move class MGeoRankingDataset to custom_datasets 15) Move module movie_scene_segmentation custom_datasets 16) Move module object_detection to custom_datasets 17) Move module referring_video_object_segmentation to custom_datasets 18) Move module sidd_image_denoising to custom_datasets 19) Move module video_frame_interpolation to custom_datasets 20) Move module video_stabilization to custom_datasets 21) Move module video_super_resolution to custom_datasets 22) Move class GoproImageDeblurringDataset to custom_datasets 23) Move class EasyCVBaseDataset to custom_datasets 24) Move class ImageInstanceSegmentationCocoDataset to custom_datasets 25) Move class RedsImageDeblurringDataset to custom_datasets 26) Move class TextRankingDataset to custom_datasets 27) Move class VecoDataset to custom_datasets 28) Move class VideoSummarizationDataset to custom_datasets 10. To delete modules/functions/classes: 1) Del module task_datasets 2) Del to_task_dataset() in EpochBasedTrainer 3) Del build_dataset() in EpochBasedTrainer and renew a same name function. 11. Rename class Datasets to CustomDatasets in metainfo.py Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11872747
42 lines
1.1 KiB
ReStructuredText
42 lines
1.1 KiB
ReStructuredText
modelscope.msdatasets.dataset_cls.custom_datasets
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====================
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.. automodule:: modelscope.msdatasets.dataset_cls.custom_datasets
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.. currentmodule:: modelscope.msdatasets.dataset_cls.custom_datasets
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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EasyCVBaseDataset
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TorchCustomDataset
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MovieSceneSegmentationDataset
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ImageInstanceSegmentationCocoDataset
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GoproImageDeblurringDataset
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LanguageGuidedVideoSummarizationDataset
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MGeoRankingDataset
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RedsImageDeblurringDataset
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TextRankingDataset
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VecoDataset
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VideoSummarizationDataset
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BadImageDetectingDataset
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ImageInpaintingDataset
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ImagePortraitEnhancementDataset
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ImageQualityAssessmentDegradationDataset
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ImageQualityAssessmentMosDataset
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ReferringVideoObjectSegmentationDataset
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SiddImageDenoisingDataset
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VideoFrameInterpolationDataset
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VideoStabilizationDataset
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VideoSuperResolutionDataset
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SegDataset
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FaceKeypointDataset
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HandCocoWholeBodyDataset
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WholeBodyCocoTopDownDataset
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ClsDataset
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DetImagesMixDataset
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DetDataset
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