class KinectLayout(BaseLayout): def _create_custom_layout(self): pass def _init_custom_layout(self): self.hand_gestures = HandGestureRecognition() def _acquire_frame(self): frame, _ = freenect.sync_get_depth() # return success if frame size is valid if frame is not None: return (True, frame) else: return (False, frame) def _process_frame(self, frame): # clip max depth to 1023, convert to 8-bit grayscale np.clip(frame, 0, 1023, frame) frame >>= 2 frame = frame.astype(np.uint8) num_fingers, img_draw = self.hand_gestures.recognize(frame) height, width = frame.shape[:2] cv2.circle(img_draw, (width/2, height/2), 3, [255, 102, 0], 2) cv2.rectangle(img_draw, (width/3, height/3), (width*2/3, height*2/3), [255, 102, 0], 2) cv2.putText(img_draw, str(num_fingers), (30, 30),cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255)) return img_draw
class KinectLayout(BaseLayout):
def _create_custom_layout(self):
pass
def _init_custom_layout(self):
self.hand_gestures = HandGestureRecognition()
def _acquire_frame(self):
frame, _ = freenect.sync_get_depth()
# return success if frame size is valid
if frame is not None:
return (True, frame)
else:
return (False, frame)
def _process_frame(self, frame):
# clip max depth to 1023, convert to 8-bit grayscale
np.clip(frame, 0, 1023, frame)
frame >>= 2
frame = frame.astype(np.uint8)
num_fingers, img_draw = self.hand_gestures.recognize(frame)
height, width = frame.shape[:2]
cv2.circle(img_draw, (width / 2, height / 2), 3, [255, 102, 0], 2)
cv2.rectangle(img_draw, (width / 3, height / 3),
(width * 2 / 3, height * 2 / 3), [255, 102, 0], 2)
cv2.putText(img_draw, str(num_fingers), (30, 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))
return img_draw
class KinectLayout(BaseLayout):
"""Custom layout for Kinect display
A plain GUI layout for Kinect output. We overwrite the BaseLayout's
_acquire_frame method to acquire a new frame from the depth sensor
instead.
"""
def _init_custom_layout(self):
"""Initializes hand gesture recognition"""
self.hand_gestures = HandGestureRecognition()
def _create_custom_layout(self):
"""Use plain layout"""
pass
def _acquire_frame(self):
"""Acquire frame from depth sensor using freenect library"""
frame, _ = freenect.sync_get_depth()
# return success if frame size is valid
if frame is not None:
return (True, frame)
else:
return (False, frame)
def _process_frame(self, frame):
"""Recognizes hand gesture in a frame of the depth sensor"""
# clip max depth to 1023, convert to 8-bit grayscale
np.clip(frame, 0, 2**10 - 1, frame)
frame >>= 2
frame = frame.astype(np.uint8)
# recognize hand gesture
num_fingers, img_draw = self.hand_gestures.recognize(frame)
# draw some helpers for correctly placing hand
height, width = frame.shape[:2]
cv2.circle(img_draw, (width / 2, height / 2), 3, [255, 102, 0], 2)
cv2.rectangle(img_draw, (width / 3, height / 3), (width * 2 / 3, height * 2 / 3),
[255, 102, 0], 2)
# print number of fingers on image
cv2.putText(img_draw, str(num_fingers), (30, 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))
return img_draw
class KinectLayout(BaseLayout):
"""Custom layout for Kinect display
A plain GUI layout for Kinect output. We overwrite the BaseLayout's
_acquire_frame method to acquire a new frame from the depth sensor
instead.
"""
def _init_custom_layout(self):
"""Initializes hand gesture recognition"""
self.hand_gestures = HandGestureRecognition()
def _create_custom_layout(self):
"""Use plain layout"""
pass
def _acquire_frame(self):
"""Acquire frame from depth sensor using freenect library"""
frame, _ = freenect.sync_get_depth()
# return success if frame size is valid
if frame is not None:
return (True, frame)
else:
return (False, frame)
def _process_frame(self, frame):
"""Recognizes hand gesture in a frame of the depth sensor"""
# clip max depth to 1023, convert to 8-bit grayscale
np.clip(frame, 0, 2**10 - 1, frame)
frame >>= 2
frame = frame.astype(np.uint8)
# recognize hand gesture
num_fingers, img_draw = self.hand_gestures.recognize(frame)
# draw some helpers for correctly placing hand
height, width = frame.shape[:2]
cv2.circle(img_draw, (width/2, height/2), 3, [255, 102, 0], 2)
cv2.rectangle(img_draw, (width/3, height/3), (width*2/3, height*2/3),
[255, 102, 0], 2)
# print number of fingers on image
cv2.putText(img_draw, str(num_fingers), (30, 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))
return img_draw