給定二值影像，將影像轉換為然后修改其像素的最快Pythonic方法是什么？RGB
我有這兩種方法，但它們對我感覺不好
def get_mask(rgb_image_path):
mask = np.array(Image.open(rgb_image_path).convert('L'), dtype = np.float32) # Mask should be Grayscale so each value is either 0 or 255
mask[mask == 255.0] = 1.0 # whereever there is 255, convert it to 1: (1 == 255 == White)
return mask
def approach1(mask):
mask = np.logical_not(mask)
mask = mask.astype(np.uint8)
mask = mask*255
red = mask.copy()
blue = mask.copy()
green = mask.copy()
red[red == 0] = 26
blue[blue == 0] = 237
green[green == 0] = 160
mask = np.stack([red, blue, green], axis = -1)
plt.imshow(mask)
def approach2(mask):
mask = np.logical_not(mask)
mask = mask.astype(np.uint8)
mask = np.stack([mask,mask,mask], axis = -1)
mask = mask*255
width,height, channels = mask.shape
for i in range(width):
for j in range(height):
if mask[i][j][0] == 0:
mask[i][j] = (26,237,160)
plt.imshow(mask)
下面是圖片
uj5u.com熱心網友回復：
我想最簡單的方法是這樣的：
def mask_coloring(mask):
expected_color = (26, 237, 160)
color_mask = np.zeros((mask.shape[0], mask.shape[1], 3), dtype=np.uint8)
color_mask[mask == 255.0, :] = expected_color
plt.imshow(color_mask)
順便說一句，可以在
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標籤：Python 麻木的 opencv 图像处理 计算机视觉