docs/source/api/modelscope.msdatasets.dataset_cls.custom_datasets.rst

modelscope.msdatasets.dataset_cls.custom_datasets
====================

.. automodule:: modelscope.msdatasets.dataset_cls.custom_datasets

.. currentmodule:: modelscope.msdatasets.dataset_cls.custom_datasets


.. autosummary::
    :toctree: generated
    :nosignatures:
    :template: classtemplate.rst

    EasyCVBaseDataset
    TorchCustomDataset
    ImageInstanceSegmentationCocoDataset
    GoproImageDeblurringDataset
    MGeoRankingDataset
    RedsImageDeblurringDataset
    TextRankingDataset
    VecoDataset
    VideoSummarizationDataset
    BadImageDetectingDataset
    ImagePortraitEnhancementDataset
    ImageQualityAssessmentDegradationDataset
    ImageQualityAssessmentMosDataset
    ReferringVideoObjectSegmentationDataset
    SiddImageDenoisingDataset
    VideoFrameInterpolationDataset
    VideoStabilizationDataset
    VideoSuperResolutionDataset
    SegDataset
    FaceKeypointDataset
    HandCocoWholeBodyDataset
    WholeBodyCocoTopDownDataset
    ClsDataset
    DetImagesMixDataset
    DetDataset
Refactor the task_datasets module 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 2023-03-10 09:03:32 +08:00			`modelscope.msdatasets.dataset_cls.custom_datasets`
			`====================`

			`.. automodule:: modelscope.msdatasets.dataset_cls.custom_datasets`

			`.. currentmodule:: modelscope.msdatasets.dataset_cls.custom_datasets`


			`.. autosummary::`
			`:toctree: generated`
			`:nosignatures:`
			`:template: classtemplate.rst`

			`EasyCVBaseDataset`
			`TorchCustomDataset`
			`ImageInstanceSegmentationCocoDataset`
			`GoproImageDeblurringDataset`
			`MGeoRankingDataset`
			`RedsImageDeblurringDataset`
			`TextRankingDataset`
			`VecoDataset`
			`VideoSummarizationDataset`
			`BadImageDetectingDataset`
			`ImagePortraitEnhancementDataset`
			`ImageQualityAssessmentDegradationDataset`
			`ImageQualityAssessmentMosDataset`
			`ReferringVideoObjectSegmentationDataset`
			`SiddImageDenoisingDataset`
			`VideoFrameInterpolationDataset`
			`VideoStabilizationDataset`
			`VideoSuperResolutionDataset`
			`SegDataset`
			`FaceKeypointDataset`
			`HandCocoWholeBodyDataset`
			`WholeBodyCocoTopDownDataset`
			`ClsDataset`
			`DetImagesMixDataset`
			`DetDataset`