我想执行一定量的图像平移(垂直和水平移动图像)。
问题是,当我将裁剪后的图像粘贴回画布上时,我只是得到一个白色的空白框。
有人能发现这里的问题吗?
非常感谢
img_shape = image.shape
# translate image
# percentage of the dimension of the image to translate
translate_factor_x = random.uniform(*translate)
translate_factor_y = random.uniform(*translate)
# initialize a black image the same size as the image
canvas = np.zeros(img_shape)
# get the top-left corner coordinates of the shifted image
corner_x = int(translate_factor_x*img_shape[1])
corner_y = int(translate_factor_y*img_shape[0])
# determine which part of the image will be pasted
mask = image[max(-corner_y, 0):min(img_shape[0], -corner_y + img_shape[0]),
max(-corner_x, 0):min(img_shape[1], -corner_x + img_shape[1]),
:]
# determine which part of the canvas the image will be pasted on
target_coords = [max(0,corner_y),
max(corner_x,0),
min(img_shape[0], corner_y + img_shape[0]),
min(img_shape[1],corner_x + img_shape[1])]
# paste image on selected part of the canvas
canvas[target_coords[0]:target_coords[2], target_coords[1]:target_coords[3],:] = mask
transformed_img = canvas
plt.imshow(transformed_img)
这就是我得到的:
对于图像翻译,您可以利用有些晦涩难懂的numpy.roll
功能。在此示例中,我将使用白色画布,以便更容易可视化。
image = np.full_like(original_image, 255)
height, width = image.shape[:-1]
shift = 100
# shift image
rolled = np.roll(image, shift, axis=[0, 1])
# black out shifted parts
rolled = cv2.rectangle(rolled, (0, 0), (width, shift), 0, -1)
rolled = cv2.rectangle(rolled, (0, 0), (shift, height), 0, -1)
如果你想翻转图像,使黑色部分在另一侧,你可以同时使用np.fliplr
and np.flipud
.
Result:
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