FindContours仅支持8uC1和32sC1图像 [英] FindContours support only 8uC1 and 32sC1 images

问题描述

我在火灾探测中的问题 我的代码是:

ret, frame = cap.read()
lab_image = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)
L , a , b = cv2.split(lab_image)
ret,thresh_L = cv2.threshold(L,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
ret,thresh_a = cv2.threshold(a,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
ret,thresh_b = cv2.threshold(b,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
thresh_image = cv2.merge((thresh_L, thresh_a, thresh_b))
dilation = cv2.dilate(thresh_image, None, iterations=2)
gray = cv2.cvtColor(thresh_image,cv2.COLOR_
(cnts, _) = cv2.findContours(dilation.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for c in cnts:
    if cv2.contourArea(c) < args["min_area"]:
        continue
    (x,y,w,h) = cv2.boundingRecy(c)
    cv2.rectangle(frame,(x,y),(x+w, y+h), (0,255,0), 2)

cv2.imshow('frame1',frame)

当我运行该程序时，看到此错误

FindContours support only 8uC1 and 32sC1 images in function cvStartFindContours

请帮助我. tnx

解决方案

cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);

在要在其上查找轮廓的垫子上使用此行，它应该起作用，因为它将图像转换为8UC1格式(灰度).

i hava problem in fire detection my code is :

ret, frame = cap.read()
lab_image = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)
L , a , b = cv2.split(lab_image)
ret,thresh_L = cv2.threshold(L,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
ret,thresh_a = cv2.threshold(a,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
ret,thresh_b = cv2.threshold(b,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
thresh_image = cv2.merge((thresh_L, thresh_a, thresh_b))
dilation = cv2.dilate(thresh_image, None, iterations=2)
gray = cv2.cvtColor(thresh_image,cv2.COLOR_
(cnts, _) = cv2.findContours(dilation.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for c in cnts:
    if cv2.contourArea(c) < args["min_area"]:
        continue
    (x,y,w,h) = cv2.boundingRecy(c)
    cv2.rectangle(frame,(x,y),(x+w, y+h), (0,255,0), 2)

cv2.imshow('frame1',frame)

and when i run this program , see this error

FindContours support only 8uC1 and 32sC1 images in function cvStartFindContours

please help me . tnx

解决方案

cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);

Use this line on the Mat you wish to find contours on and it should work, because it will convert your image to 8UC1 format (grayscale).

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