opencv

cv2.CascadeClassifier.detectMultiScale(image[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize]]]]]) → objects

• scaleFactor – Parameter specifying how much the image size is reduced at each image scale.

• minNeighbors – Parameter specifying how many neighbors each candidate rectangle should have to retain it.

• flags – Parameter with the same meaning for an old cascade as in the function cvHaarDetectObjects. It is not used for a new cascade.

• minSize – Minimum possible object size. Objects smaller than that are ignored.

• maxSize – Maximum possible object size. Objects larger than that are ignored.

cv.HaarDetectObjects(image, cascade, storage, scale_factor=1.1, min_neighbors=3, flags=0, min_size=(0, 0)) → detectedObjects