错误:布尔索引与维度 1 的索引数组不匹配;维度是 256 但对应的布尔维度是 512

时间:2021-02-11 03:34:39

标签: deep-learning image-size

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))))

0 个答案:

没有答案