Haarcascades classifer implementation doubt

#1

In the below code,
faces = face_cascade.detectMultiScale(gray_frame,1.3,5). why we are passing gray_frame ? opencv is able to make rectangle if I am passing frame (colored) here and what is the last argument (2) which we are passing in cv2.rectangle function?

#2

hey @Mohit2000 ,
by default these haarcascades are trained on gray scale images , hence it is recommended to use them on gray scale images for better results. It will work on coloured images too , but results might vary.

It is the width of the line used to make a rectangle.

I hope this helped.

#3

Okay. when i am closing the video stream by pressing the ‘q’ key, command prompt is showing that module ‘cv2.cv2’ has no attribute ‘release’

#4

you might have done something like

v = cv2.VideoCapture()

so try doing
v.release()

#5

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