当我尝试在编码下运行时出现错误，所以大家尝试解决错误

Question

filepath = 'blackmeasles (1).jpg'

BLUR = 21
CANNY_THRESH_1 = 10
CANNY_THRESH_2 = 200
MASK_DILATE_ITER = 10
MASK_ERODE_ITER = 10
MASK_COLOR = (0.0,0.0,0.0) # In BGR format

img = cv2.imread(filepath)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

edges = cv2.Canny(gray, CANNY_THRESH_1, CANNY_THRESH_2)
edges = cv2.dilate(edges, None)
edges = cv2.erode(edges, None)

contour_info = []
_, contours = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)

for c in contours:
    contour_info.append((c, cv2.isContourConvex(c), cv2.contourArea(c),))
contour_info = sorted(contour_info, key=lambda c: c[2], reverse=True)

max_contour = contour_info[0]
mask = np.zeros(edges.shape)
cv2.fillConvexPoly(mask, max_contour[0], (255))

mask = cv2.dilate(mask, None, iterations=MASK_DILATE_ITER)
mask = cv2.erode(mask, None, iterations=MASK_ERODE_ITER)
mask = cv2.GaussianBlur(mask, (BLUR, BLUR), 0)

mask_stack = np.dstack([mask]*3)
mask_stack  = mask_stack.astype('float32') / 255.0
img = img.astype('float32') / 255.0

masked = (mask_stack * img) + ((1-mask_stack) * MASK_COLOR)
masked = (masked * 255).astype('uint8')

fileName, fileExtension = filepath.split('.')
fileName += '-masked.'
filepath = fileName + fileExtension
print(filepath)

cv2.imwrite(filepath, masked)

我遇到了以下错误，大佬们帮我解决一下，

图像分类领域 ---> 21 contour_info.append((c, cv2.isContourConvex(c), cv2.contourArea(c),)) 22 轮廓信息=排序（轮廓信息，键=lambda c：c[2]，反向=真） 23

错误：OpenCV(4.5.4-dev) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\convhull.cpp:447: error: (-215:Assertion failed) 总计>= 0 && (depth == CV_32F || depth == CV_32S) 在函数'cv::isContourConvex'中

Answer 1

让我提出一个可以帮助您解决问题的建议。

error: (-215:Assertion failed) total >= 0 && (depth == CV_32F || depth == CV_32S) in function 'cv::isContourConvex'

这个错误意味着你应该检查实际的cv::isCounterConvex() 函数，看看为什么total 不大于0，并且深度参数不等于CV_32F 或CV_32S。然后你可能会解决你的问题。 这些断言是最好的错误类型，因为它实际上说明了问题所在，您唯一应该做的就是仔细阅读它并检查源代码以了解实际情况。