/
main.py
79 lines (60 loc) · 1.91 KB
/
main.py
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import dlib
import cv2
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
def get_center(gray_img):
moments = cv2.moments(gray_img, False)
try:
return int(moments['m10'] / moments['m00']), int(moments['m01'] / moments['m00'])
except:
return None
def is_close(y0, y1):
if abs(y0 - y1) < 10:
return True
return False
def eye_point(img, parts, left=True):
if left:
eyes = [
parts[36],
min(parts[37], parts[38], key=lambda x: x.y),
max(parts[40], parts[41], key=lambda x: x.y),
parts[39],
]
else:
eyes = [
parts[42],
min(parts[43], parts[44], key=lambda x: x.y),
max(parts[46], parts[47], key=lambda x: x.y),
parts[45],
]
org_x = eyes[0].x
org_y = eyes[1].y
if is_close(org_y, eyes[2].y):
return None
eye = img[org_y:eyes[2].y, org_x:eyes[-1].x]
_, eye = cv2.threshold(cv2.cvtColor(eye, cv2.COLOR_RGB2GRAY), 30, 255, cv2.THRESH_BINARY_INV)
center = get_center(eye)
if center:
return center[0] + org_x, center[1] + org_y
return center
def p(img, parts, eye):
if eye[0]:
cv2.circle(img, eye[0], 3, (255, 255, 0), -1)
if eye[1]:
cv2.circle(img, eye[1], 3, (255, 255, 0), -1)
for i in parts:
cv2.circle(img, (i.x, i.y), 3, (255, 0, 0), -1)
cv2.imshow("me", img)
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
dets = detector(frame[:, :, ::-1])
if len(dets) > 0:
parts = predictor(frame, dets[0]).parts()
left_eye = eye_point(frame, parts)
right_eye = eye_point(frame, parts, False)
p(frame * 0, parts, (left_eye, right_eye))
if cv2.waitKey(1) == 27:
break
cap.release()
cv2.destroyAllWindows()