FACE DETECTION IN PYTHON
Source Code:-
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | # Face Detection using Python import cv2 # Load the cascade face_cascade = cv2.CascadeClassifier( 'haarcascade_frontalface_default.xml' ) # To capture video from webcam. cap = cv2.VideoCapture( 0 ) while True : # Read the frame _, img = cap.read() # Convert to grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Detect the faces faces = face_cascade.detectMultiScale(gray, 1.1 , 4 ) # Draw the rectangle around each face for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x + w, y + h), ( 255 , 0 , 0 ), 2 ) # Display cv2.imshow( 'img' , img) # Stop if escape key is pressed k = cv2.waitKey( 30 ) & 0xff if k = = 27 : break # Release the VideoCapture object cap.release() |
# Face Detection using Python import cv2 # Load the cascade face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') # To capture video from webcam. cap = cv2.VideoCapture(0) while True: # Read the frame _, img = cap.read() # Convert to grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Detect the faces faces = face_cascade.detectMultiScale(gray, 1.1, 4) # Draw the rectangle around each face for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2) # Display cv2.imshow('img', img) # Stop if escape key is pressed k = cv2.waitKey(30) & 0xff if k==27: break # Release the VideoCapture object cap.release()
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