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FaceRecognition.py
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FaceRecognition.py
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import cv2
# Load the cascade
face_cascade = cv2.CascadeClassifier(r'C:\Users\SebastienL\Dropbox\Code\Python\CameraStuff\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(r'C:\Users\SebastienL\Dropbox\Code\Python\CameraStuff\haarcascade_eye.xml')
#https://github.com/opencv/opencv/tree/master/data/haarcascades
cap = cv2. VideoCapture(0, cv2.CAP_DSHOW)
while True:
ret, frame = cap. read()
# Convert into grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Detect faces
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
# Draw rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2. imshow('webcam feed' , frame)
if cv2.waitKey(10) & 0xFF == ord("q"):
break
cap.release()
cv2.destroyAllWindows()