比率 = [] psnrs = []
test_masks = os.listdir('/content/gdrive/MyDrive/testing_mask_dataset') 对于 tqdm(test_masks) 中的文件名:
# Load mask from paper
filepath = os.path.join('/content/gdrive/MyDrive/testing_mask_dataset', filename)
mask = cv2.imread(filepath) / 255
ratios.append(mask[:,:,0].sum() / (512 * 512))
mask = np.array([1-mask for _ in range(BATCH_SIZE)])
# Pick out image from test generator
test_data = next(val_generator)
(_, _), ori = test_data
masked = deepcopy(ori)
**masked[mask==0] = 1 #Error is here**
# Run prediction on image & mask
pred = model.predict([ori, mask])
# Calculate PSNR
psnrs.append(-10.0 * np.log10(np.mean(np.square(pred - ori))))