| from random import shuffle |
| import numpy as np |
| import os |
| from PIL import Image |
| import shutil |
| Image.MAX_IMAGE_PIXELS = None |
|
|
| def filter_mask(img_names): |
| new_img_name = [] |
| for img_name in img_names: |
| if 'mask' not in img_name: |
| new_img_name.append(img_name) |
| return new_img_name |
|
|
|
|
| def checkBlank(patch): |
| patch = np.array(patch.convert("RGB")) |
| m = patch.mean() |
| if 200 <= m <= 255: |
| return False |
| else: |
| return True |
|
|
|
|
| def filter_names(mask_root, img_names): |
| new_names = [] |
| for img_name in img_names: |
| img = Image.open(mask_root+img_name) |
| if img.size[0] < 8000 and img.size[1] < 8000: |
| new_names.append(img_name) |
| return new_names |
|
|
|
|
| def move_file(source_root, target_root, source_names): |
| |
| if not os.path.exists(target_root + 'images/'): |
| os.mkdir(target_root + 'images/') |
| os.mkdir(target_root + 'labels/') |
| else: |
| shutil.rmtree(target_root + 'images/') |
| shutil.rmtree(target_root + 'labels/') |
| os.mkdir(target_root + 'images/') |
| os.mkdir(target_root + 'labels/') |
| target_image_root = target_root + 'images/' |
| target_label_root = target_root + 'labels/' |
| for name in source_names: |
| source_image = source_root+name |
| source_label = source_root+name[:-4]+'_mask.png' |
| shutil.copyfile(source_image, target_image_root+name) |
| shutil.copyfile(source_label, target_label_root+name[:-4]+'_mask.png') |
|
|
|
|
| if __name__ == "__main__": |
| np.random.seed(66) |
|
|
| all_root = '/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/' |
| all_names = os.listdir(all_root) |
| all_names = filter_mask(all_names) |
| all_names = filter_names(all_root, all_names) |
| np.random.shuffle(all_names) |
| print(len(all_names)) |
|
|
| train_names_5 = all_names[:5] |
| train_names_15 = all_names[:10] |
| train_names_30 = all_names[:20] |
| train_names_150 = all_names[:100] |
| val_names = all_names[100:110] |
| test_names = all_names[110:130] |
| |
| |
| |
|
|
| |
| |
| |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-5/', train_names_5) |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-10/', train_names_15) |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-20/', train_names_30) |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-100/', train_names_150) |
| |
| |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-val/', val_names) |
| move_file('/mnt/data2/lanfz/datasets/digestpath2019/tissue-train-pos-v2/', |
| '/mnt/data2/lanfz/datasets/digestpath2019/tissue-test/', test_names) |
| |
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|
