解决错误：参数“%s”的预期 Ptr<cv::UMat>答案

【问题标题】：Solve error: Expected Ptr<cv::UMat> for argument '%s'解决错误：参数“%s”的预期 Ptr<cv::UMat>
【发布时间】：2021-10-02 23:02:46
【问题描述】：

FcascPath='/content/drive/MyDrive/COTM july/Copy of haarcascade_frontalface_default.xml'

#Create the haar cascade
faceCascade = cv2.CascadeClassifier(FcascPath)

def imgdetect(gray,image):
  faces=faceCascade.detectMultiScale(gray,1.3,5)
  for (x,y,w,h) in faces:
    cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)
    roi_gray=gray[y:y+h,x:x+w]
  return image

i10="/content/drive/MyDrive/COTM july/Faces /10.jpg"
gr = cv2.cvtColor(i10, cv2.COLOR_BGR2GRAY)

canvas=imgdetect(gr,i10)
cv2.imshow("resultvideo", canavs)

它显示了这个：

TypeError Traceback（最近一次调用最后一次）在（） 13 14 i10="/content/drive/MyDrive/COTM july/Faces /10.jpg" ---> 15 gr = cv2.cvtColor(i10, cv2.COLOR_BGR2GRAY) 16 17 画布=imgdetect(gr,i10)

TypeError: Expected Ptr<:umat> for argument '%s

【问题讨论】：

标签： python debugging cv2 cascade

【解决方案1】：

在将其转换为灰度之前，您尚未读取图像文件。只需执行以下操作：-

FcascPath='/content/drive/MyDrive/COTM july/Copy of haarcascade_frontalface_default.xml'

#Create the haar cascade
faceCascade = cv2.CascadeClassifier(FcascPath)

def imgdetect(gray,image):
  faces=faceCascade.detectMultiScale(gray,1.3,5)
  for (x,y,w,h) in faces:
    cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)
    roi_gray=gray[y:y+h,x:x+w]
  return image

i10="/content/drive/MyDrive/COTM july/Faces /10.jpg"
image = cv2.imread(i10)
gr = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

canvas=imgdetect(gr,i10)
cv2.imshow("resultvideo", canavs)

【讨论】：