def follow_gaze(cam, GazeNet):
center_of_face = []
while len(center_of_face) == 0:
img = get_remote_image(cam)
fd = FD.FaceDetector(img, True)
center_of_face = fd.detectCenterFaces()
if len(center_of_face) > 0:
# get gaze directions
gaze_coords = GazeNet.getGaze(center_of_face, img)
cv2.circle(img, (gaze_coords[0], gaze_coords[1]), 10, (0,0,255))
cv2.imshow("Image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# use gaze directions to look and point in that direction
# gaze predicted location
look_at_gazed(gaze_coords)
time.sleep(1.5)
# detect object
closest_ball = find_closest_object(cam)
if closest_ball is None:
#TODO: Let is say it, and maybe look bakc at parent and/or try again
print("I don't see what you are looking at")
tts_p.say("I don't see what you are looking at")
# if detected:
# TODO: set a maximum distance.
if closest_ball is not None:
look_at_gazed(closest_ball)
point_at_gazed(gaze_coords, cam)
def detect_face(camera): img = get_remote_image(camera) fd = FD.FaceDetector(img, True) return fd.detectCenterFaces()