class TestHand():
def __init__(self):
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector(HandOtsu())
self._contour = HandContourDetector()
self._palm = PalmDetector()
def run(self):
for (depth, depth8, rgb) in self._kinect.get_data():
cv2.imshow('rgb', cv2.cvtColor(rgb, cv2.COLOR_BGR2RGB))
cv2.imshow('depth', depth8)
hand, mask = self._hand.run(depth, depth8)
(_, _, crop) = self._contour.run(mask)
if crop == None:
continue
cv2.imshow('hand', crop)
hand = self._palm.run(hand, crop)
if hand == None:
continue
cv2.imshow('hand final', hand)
cv2.waitKey(10)
def _crop(self, img, box):
crop = img[box[1]:box[1] + box[3], box[0]:box[0] + box[2]]
return crop
class TestHand():
def __init__(self):
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector(HandOtsu())
self._contour = HandContourDetector()
self._palm = PalmDetector()
def run(self):
for (depth, depth8, rgb) in self._kinect.get_data():
cv2.imshow('rgb', cv2.cvtColor(rgb, cv2.COLOR_BGR2RGB))
cv2.imshow('depth', depth8)
hand, mask = self._hand.run(depth, depth8)
(_, _, crop) = self._contour.run(mask)
if crop == None:
continue
cv2.imshow('hand', crop)
hand = self._palm.run(hand, crop)
if hand == None:
continue
cv2.imshow('hand final', hand)
cv2.waitKey(10)
def _crop(self, img, box):
crop = img[box[1]:box[1]+box[3], box[0]:box[0]+box[2]]
return crop
def __init__(self):
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector(HandOtsu())
self._contour = HandContourDetector()
self._palm = PalmDetector()
def __init__(self):
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector(HandOtsu())
self._contour = HandContourDetector()
self._palm = PalmDetector()
