mindformers.dataset.MIMDataset¶
- class mindformers.dataset.MIMDataset(dataset_config: Optional[dict] = None)[源代码]¶
Masked Image Modeling Dataset.
- Examples:
>>> from mindformers.tools.register import MindFormerConfig >>> from mindformers import MindFormerBook >>> from mindformers.dataset import MIMDataset >>> from mindformers.dataset import build_dataset, check_dataset_config >>> config_dict_list = MindFormerBook.get_trainer_support_task_list() >>> config_path = config_dict_list['masked_image_modeling']['mae_vit_base_p16'] >>> # Initialize a MindFormerConfig instance with a specific config file of yaml. >>> config = MindFormerConfig(config_path) >>> config.train_dataset.data_loader.dataset_dir = "The required task dataset path" Note: The detailed data setting could refer to https://gitee.com/mindspore/mindformers/blob/r0.3/docs/model_cards/mae.md >>> check_dataset_config(config) >>> # 1) use config dict to build dataset >>> dataset_from_config = build_dataset(config.train_dataset_task) >>> # 2) use class name to build dataset >>> dataset_from_name = build_dataset(class_name='MIMDataset', ... dataset_config=config.train_dataset_task.dataset_config) >>> # 3) use class to build dataset >>> dataset_from_class = MIMDataset(config.train_dataset_task.dataset_config)