### python facedetection detectMultiScale

the function cv2.detectMultiScale can sucessfully detect the position of face and by using the fuction cv2.detectMultiScale3 i can also know the confidence score of each detected face.
My question is the fuction cv2.detectMultiScale3 only tells confidence scores of the search windows of detected faces,and my thought is when i slowly move the search window,it can tell me the socres for every window(even if they are very small) but not only the detected faces window.

in this program i simply cut 1 image to several parts(using the cv2.ROI)

import os
import cv2
from PIL import Image,ImageDraw

image_save_path_head = "H:/OpenCV-demo-master/FaceDetection_python-opencv/cut-pic"
image_save_path_tail = ".jpg"

for i in range(1,49):
img = cv2.imread( "%s%d%s" % (image_save_path_head, i, image_save_path_tail) )

```
face_cascade = cv2.CascadeClassifier("H:/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml")
if img.ndim == 3:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
else:
gray = img
faces = face_cascade.detectMultiScale3(gray,flags=1, scaleFactor=1.1, outputRejectLevels=True)
rects = faces[0]
neighbours = faces[1]
weights = faces[2]
print("weight of %d is "%(i),rects,neighbours,weights)
```

and i get
weight of 1 is () () ()
weight of 2 is () () ()
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weight of 46 is [[ 4 10 37 37]] [[25]] [[ 7.2749402]]
weight of 47 is () () ()
weight of 48 is [[ 0 13 32 32]] [[25]] [[ 8.64948004]]