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face_detection.py
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face_detection.py
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import cv2
#Loading Cascade
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
def detect(gray, frame):
"""
Detect the face from the image
gray: gray image of the original image
frame: original image
"""
# detect the faces
# tuple of x, y, w, h
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(frame, (x,y), (x+w, y+h), (255,0,0), 2)
#Detect the eyes
roi_gray = gray[y:y+h, x:x+w]
roi_frame = frame[y:y+h, x:x+w]
#Detect eyes from the face region
eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 3)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_frame, (ex,ey), (ex+ew, ey+eh), (0,255,0), 2)
return frame
#Get frame from video
# 0 : system camera
# 1 : external
# 2 : external usb video
video_capter = cv2.VideoCapture(2)
while True:
_,frame = video_capter.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
canvas = detect(gray=gray,frame=frame)
cv2.imshow('Video', canvas)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capter.release()
cv2.destroyAllWindows()