class TestPose():
def __init__(self, src):
self._src = src
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector()
self._contour = HandContourDetector()
self._pose = PoseClassifier(MultiPoseClassifier(src))
def run(self):
for (depth, depth8, rgb) in self._kinect.get_data():
contour = self._get_hand_contour(depth8, depth, rgb)
if contour.any():
self._contour.draw()
print self._pose.run(contour)
cv2.waitKey(5)
def _get_hand_contour(self, depth8, depth, rgb):
body = self._body.run(depth8)
(hand, _) = self._hand.run(body)
(cont, box, hc) = self._contour.run(hand)
if self._contour.not_valid():
return np.array([])
(cont, _, _) = self._contour.run(rgb, True, box, hc, depth)
return cont
def __init__(self, src):
self._src = src
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector()
self._contour = HandContourDetector()
self._pose = PoseClassifier(MultiPoseClassifier(src))
class TestPose():
def __init__(self, src):
self._src = src
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector()
self._contour = HandContourDetector()
self._pose = PoseClassifier(MultiPoseClassifier(src))
def run(self):
for (depth, depth8, rgb) in self._kinect.get_data():
contour = self._get_hand_contour(depth8, depth, rgb)
if contour.any():
self._contour.draw()
print self._pose.run(contour)
cv2.waitKey(5)
def _get_hand_contour(self, depth8, depth, rgb):
body = self._body.run(depth8)
(hand, _) = self._hand.run(body)
(cont, box, hc) = self._contour.run(hand)
if self._contour.not_valid():
return np.array([])
(cont, _, _) = self._contour.run(rgb, True, box, hc, depth)
return cont
def __init__(self, src):
self._src = src
self._kinect = Kinect()
self._body = BodyDetector()
self._hand = HandDetector()
self._contour = HandContourDetector()
self._pose = PoseClassifier(MultiPoseClassifier(src))
import cv2
import numpy as np
import config
from kinect import Kinect
from body import BodyDetector
from hand import HandDetector, HandContourDetector
from pose import PoseClassifier, OpenCloseClassifier, MultiPoseClassifier
kinect = Kinect()
body = BodyDetector()
hand = HandDetector()
contour = HandContourDetector()
#pose = PoseClassifier(OpenCloseClassifier())
pose = PoseClassifier(MultiPoseClassifier())
for (depth, depth8, rgb) in kinect.get_data():
b = body.run(depth8)
(h, _) = hand.run(b)
#cv2.imshow('hand', h)
(ccc, box, hc) = contour.run(h)
if len(ccc) < 100:
continue
(ccc, _, _) = contour.run(rgb, True, box, hc, depth)
import cv2
import numpy as np
import config
from kinect import Kinect
from body import BodyDetector
from hand import HandDetector, HandContourDetector
from pose import PoseClassifier, OpenCloseClassifier, MultiPoseClassifier
kinect = Kinect()
body = BodyDetector()
hand = HandDetector()
contour = HandContourDetector()
# pose = PoseClassifier(OpenCloseClassifier())
pose = PoseClassifier(MultiPoseClassifier())
for (depth, depth8, rgb) in kinect.get_data():
b = body.run(depth8)
(h, _) = hand.run(b)
# cv2.imshow('hand', h)
(ccc, box, hc) = contour.run(h)
if len(ccc) < 100:
continue
(ccc, _, _) = contour.run(rgb, True, box, hc, depth)