使用drawContours（）厚度= -1 [重复]填充轮廓将无法工作

Question

这个问题在这里已有答案：

• Contour shows dots rather than a curve when retrieving it from the list, but shows the curve otherwise 1回答

我试图填充通过单独阈值3个颜色通道获得的轮廓。

image_original = cv2.imread(original_image_path)
image_contours = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_contour = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_binary = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_area = image_original.shape[0] * image_original.shape[1]
for channel in range(image_original.shape[2]):
    ret, image_thresh = cv2.threshold(image_original[:, :, channel], 120, 255, cv2.THRESH_OTSU)
    _, contours, hierarchy = cv2.findContours(image_thresh, 1, 1)
    for index, contour in enumerate(contours):
        if( cv2.contourArea( contour )  > image_area * background_remove_offset ):
            del contours[index]
    cv2.drawContours(image_contours, contours, -1, (255,255,255), 3)
_, contours, hierarchy = cv2.findContours(image_contours,  cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
cv2.drawContours(image_contour, max(contours, key = cv2.contourArea), -1, (255, 255, 255), 1)
cv2.imwrite(output_contour_image_path, image_contour)
cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, (255, 255, 255), thickness=-1)
cv2.imwrite(output_binary_image_path, image_binary)
cv2.imshow("binary", image_binary)

应该通过设置厚度= -1来工作，但它只绘制1个厚度相同的厚度= 1的轮廓，具体如下一行。

cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, (255, 255, 255), thickness=-1)

结果如下，

哪一个应该得到一个二进制填充图像，而不是一个厚度= 1的轮廓

Answer 1

好吧，解决了它似乎drawContours（）函数需要轮廓作为列表类型，只需更改行

cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, 255, thickness=-1)

至

cv2.drawContours(image_binary, [max(contours, key = cv2.contourArea)], -1, 255, thickness=-1)

解决它。