import cv2
dirname = '/home/user/.local/lib/python3.6/site-packages/cv2/data/'
face_cascade = cv2.CascadeClassifier(dirname + 'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(dirname + 'haarcascade_eye.xml')
cam = cv2.VideoCapture(0)
cam.set(3, 160) # CV_CAP_PROP_FRAME_WIDTH
cam.set(4, 120) # CV_CAP_PROP_FRAME_HEIGHT
cam.set(5, 60) # CV_CAP_PROP_FPS
print(cam.get(3))
print(cam.get(4))
print(cam.get(5))
while True:
ret_val, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
print(faces)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[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("Cam Viewer", img)
cv2.imshow("Cam Viewer gray", gray)
if cv2.waitKey(1) == 27:
break
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