Opencv[cv2.findContours解决image data type = 0 is not supported]

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在找二值图片的轮廓,给cv2.findContours函数传递二值图片的时候,抛出一下异常:

(_, cnts, _) = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
TypeError: image data type = 0 is not supported

于是将例子简化,得到一下例子,运行正常:

import cv2

if __name__ == '__main__':
    img = cv2.imread('/home/xzchuang/下载/book/1692612937.jpg')
    imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    ret, thresh = cv2.threshold(imgray, 1, 255, 0)
    print(thresh.dtype)
    for i in range(thresh.shape[0]):
        for j in range(thresh.shape[1]):
            if thresh[i][j] != 0 and thresh[i][j] != 255:
                print('异常:{}'.format(thresh[i][j]))
    im2, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    cv2.drawContours(img, contours, -1, (0, 0, 255), 3)

    cv2.imshow("img", img)
    cv2.waitKey(500)

对比原来的图像,所有像素值:255/0

我自己的例子也是255/0

图像的shape也返回的是同样的类型,看看类型?
image.dtype.果然,问题出现在这,精简例子中的dtype是uint8,而我的项目中得到的type是int64,也就是说cv2.findContours函数接受的图片参数(每一个像素值必须是uint8),于是解决办法自然是将int64类型的图片转换为uint8的:image.astype(np.uint8)

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转载自blog.csdn.net/Gpwner/article/details/79866088