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Update 076-077-078-Unet_nuclei_tutorial.py #89

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Update 076-077-078-Unet_nuclei_tutorial.py #89

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4 changes: 2 additions & 2 deletions 076-077-078-Unet_nuclei_tutorial.py
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Expand Up @@ -37,15 +37,15 @@
test_ids = next(os.walk(TEST_PATH))[1]

X_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)
Y_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)
Y_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool_)

print('Resizing training images and masks')
for n, id_ in tqdm(enumerate(train_ids), total=len(train_ids)):
path = TRAIN_PATH + id_
img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]
img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)
X_train[n] = img #Fill empty X_train with values from img
mask = np.zeros((IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)
mask = np.zeros((IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool_)
for mask_file in next(os.walk(path + '/masks/'))[2]:
mask_ = imread(path + '/masks/' + mask_file)
mask_ = np.expand_dims(resize(mask_, (IMG_HEIGHT, IMG_WIDTH), mode='constant',
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