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import numpy as np |
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from scipy import sparse |
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import ast |
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import os |
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import json |
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uniseg_path = '/PATH/M3D_Seg' |
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dataset_code = '0001' |
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json_path = os.path.join('./', dataset_code, dataset_code + '.json') |
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with open(json_path, 'r') as f: |
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dataset_dict = json.load(f) |
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ct_file_path = os.path.join(uniseg_path, dataset_dict['train'][0]['image']) |
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gt_file_path = os.path.join(uniseg_path, dataset_dict['train'][0]['label']) |
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img_array = np.load(ct_file_path)[0] |
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print('img_array.shape ', img_array.shape) |
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allmatrix_sp= sparse.load_npz(gt_file_path) |
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gt_shape = ast.literal_eval(gt_file_path.split('.')[-2].split('_')[-1]) |
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gt_array=allmatrix_sp.toarray().reshape(gt_shape) |
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print('gt_array.shape ', gt_array.shape) |
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