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- import paddlex as pdx
- clip_min_value = [7172, 6561, 5777, 5103, 4291, 4000, 4000, 4232, 6934, 7199]
- clip_max_value = [
- 50000, 50000, 50000, 50000, 50000, 40000, 30000, 18000, 40000, 36000
- ]
- data_info_file = 'dataset/remote_sensing_seg/train_infomation.pkl'
- train_analysis = pdx.datasets.analysis.Seg(
- data_dir='dataset/remote_sensing_seg',
- file_list='dataset/remote_sensing_seg/train.txt',
- label_list='dataset/remote_sensing_seg/labels.txt')
- train_analysis.cal_clipped_mean_std(clip_min_value, clip_max_value,
- data_info_file)
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