datasets/AVideoDataset.py [263:278]:
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            files = list(sorted(glob.glob(os.path.join(self.data_prefix, '*', '*'))))
            with open(path_to_file, 'w') as f:
                for item in files:
                    f.write("%s\n" % item)

        # Get list of indices and labels
        self._path_to_videos = []
        self._labels = []
        self._spatial_temporal_idx = []
        self._vid_indices = []
        with open(path_to_file, "r") as f:
            for clip_idx, path in enumerate(f.read().splitlines()):
                for idx in range(self._num_clips):
                    self._path_to_videos.append(
                        os.path.join(self.data_prefix, path)
                    )
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datasets/GDTPretrainDataset.py [213:227]:
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            files = list(sorted(glob.glob(os.path.join(self.data_prefix, '*', '*')))) 
            with open(path_to_file, 'w') as f:
                for item in files:
                    f.write("%s\n" % item)

        self._path_to_videos = []
        self._labels = []
        self._spatial_temporal_idx = []
        self._vid_indices = []
        with open(path_to_file, "r") as f:
            for clip_idx, path in enumerate(f.read().splitlines()):
                for idx in range(self._num_clips):
                    self._path_to_videos.append(
                        os.path.join(self.data_prefix, path)
                    )
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