activemri/data/singlecoil_knee_data.py [52:65]:
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                for line in f:
                    split_info.append(line.rsplit("\n")[0])
            files = [f for f in files if f.name in split_info]

        if num_volumes is not None:
            self.rng.shuffle(files)
            files = files[:num_volumes]

        for volume_i, fname in enumerate(sorted(files)):
            data = h5py.File(fname, "r")
            kspace = data["kspace"]

            if num_rand_slices is None:
                num_slices = kspace.shape[0]
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activemri/experimental/cvpr19_models/data/raw_data_loader.py [76:89]:
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                for line in f:
                    split_info.append(line.rsplit("\n")[0])
            files = [f for f in files if f.name in split_info]

        if num_volumes is not None:
            self.rng.shuffle(files)
            files = files[:num_volumes]

        for volume_i, fname in enumerate(sorted(files)):
            data = h5py.File(fname, "r")
            kspace = data["kspace"]

            if num_rand_slices is None:
                num_slices = kspace.shape[0]
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