import cv2 cap=cv2.VideoCapture(0) face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') while True: ret,frame=cap.read() gray_frame=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) if ret == False: continue faces=face_cascade.detectMultiScale(gray_frame,1.3,5) for (x,y,w,h) in faces: cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2) cv2.imshow("VideoFrame",frame) key_pressed = cv2.waitKey(1) & 0xFF if key_pressed == ord('q'): break cap.release() cv2.destroyAllWindows() ******************************designing opencv logo**************************** import cv2 import numpy as np #angles are measured clockwise img_=np.zeros((591,591,3)) c_c=(300,180) axes_len...
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