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TypeError: UMat() missing required argument 'ranges' (pos 2)

I'm tring to create a simple face detection script, but I can't understand why I'm getting an error like this

def detect(img):   
    img_umat = cv2.UMat(img)
    gray = cv2.cvtColor(img_umat, cv2.COLOR_BGR2GRAY)
    cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = cascade.detectMultiScale(gray, scaleFactor=1.4, minNeighbors=3)

    if len(faces)==0:
        return None, None, None, None

    x, y, w, h = faces[0]
    return x, y, w, h
 img_umat = cv2.UMat(img)
TypeError: UMat() missing required argument 'ranges' (pos 2)

What's wrong with it?

face-detectionopencvface-recognition
3 votesJW297.00
1 Answers
JO266.00
3

Try to change the type of img and convert it to float. I assume the dtype of img object is float16, try to convert it to float32.

OpenCV offten gives weird error, which turn out to be related to dtypes of the input.

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