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from typing import Dict
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from mmengine.model import BaseDataPreprocessor, ModuleDict
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from mmaction.registry import MODELS
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@MODELS.register_module()
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class MultiModalDataPreprocessor(BaseDataPreprocessor):
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"""Multi-Modal data pre-processor for action recognition tasks."""
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def __init__(self, preprocessors: Dict) -> None:
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super().__init__()
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self.preprocessors = ModuleDict()
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for name, pre_cfg in preprocessors.items():
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assert 'type' in pre_cfg, (
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'Each data preprocessor should contain the key type, '
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f'but got {pre_cfg}')
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self.preprocessors[name] = MODELS.build(pre_cfg)
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def forward(self, data: Dict, training: bool = False) -> Dict:
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"""Preprocesses the data into the model input format.
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Args:
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data (dict): Data returned by dataloader.
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training (bool): Whether to enable training time augmentation.
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Returns:
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dict: Data in the same format as the model input.
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"""
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data = self.cast_data(data)
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inputs, data_samples = data['inputs'], data['data_samples']
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for modality, modality_data in inputs.items():
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preprocessor = self.preprocessors[modality]
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modality_data, data_samples = preprocessor.preprocess(
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modality_data, data_samples, training)
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inputs[modality] = modality_data
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data['inputs'] = inputs
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data['data_samples'] = data_samples
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return data
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