[{"createTime":1735734952000,"id":1,"img":"hwy_ms_500_252.jpeg","link":"https://activity.huaweicloud.com/cps.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=V1g3MDY4NTY=&utm_medium=cps&utm_campaign=201905","name":"华为云秒杀","status":9,"txt":"华为云38元秒杀","type":1,"updateTime":1735747411000,"userId":3},{"createTime":1736173885000,"id":2,"img":"txy_480_300.png","link":"https://cloud.tencent.com/act/cps/redirect?redirect=1077&cps_key=edb15096bfff75effaaa8c8bb66138bd&from=console","name":"腾讯云秒杀","status":9,"txt":"腾讯云限量秒杀","type":1,"updateTime":1736173885000,"userId":3},{"createTime":1736177492000,"id":3,"img":"aly_251_140.png","link":"https://www.aliyun.com/minisite/goods?userCode=pwp8kmv3","memo":"","name":"阿里云","status":9,"txt":"阿里云2折起","type":1,"updateTime":1736177492000,"userId":3},{"createTime":1735660800000,"id":4,"img":"vultr_560_300.png","link":"https://www.vultr.com/?ref=9603742-8H","name":"Vultr","status":9,"txt":"Vultr送$100","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":5,"img":"jdy_663_320.jpg","link":"https://3.cn/2ay1-e5t","name":"京东云","status":9,"txt":"京东云特惠专区","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":6,"img":"new_ads.png","link":"https://www.iodraw.com/ads","name":"发布广告","status":9,"txt":"发布广告","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":7,"img":"yun_910_50.png","link":"https://activity.huaweicloud.com/discount_area_v5/index.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=aXhpYW95YW5nOA===&utm_medium=cps&utm_campaign=201905","name":"底部","status":9,"txt":"高性能云服务器2折起","type":2,"updateTime":1735660800000,"userId":3}]
<> Problem description
When using watershed segmentation , This common error was found
kernel = np.ones((3, 3), np.uint8) sure_bg = cv.dilate(waterimg, kernel,
iterations=3)# Setting the context dist = cv.distanceTransform(waterimg, cv.DIST_L2, 3)# range conversion
ret, sure_fg = cv.threshold(dist, dist.max()*0.6, 255, 0)# Identify the future surface_fg =
np.uint8(sure_fg) unknown = cv.subtract(sure_bg, surface_fg) ret, markers =
cv.connectedComponents(surface_fg) # markers = np.uint8(markers) markers =
markers + 1 markers[unknown == 255] = 0 waterimg[markers == -1] = 255 markers =
cv.watershed(gray, markers)
Wrong name ：
cv2.error: OpenCV(4.1.0)
C:\projects\opencv-python\opencv\modules\imgproc\src\segmentation.cpp:161:
error: (-215:Assertion failed) src.type() == CV_8UC3 && dst.type() == CV_32SC1
in function 'cv::watershed'
This means that the function is trying to set the 8 Channel conversion 32 passageway
<> resolvent
markers = cv.watershed(img, markers)
In this function img Must be three channels , That is, it cannot be a grayscale image or a binary image , It can be used cvtcolor take gray2bgr, So you don't go wrong .