def main():
print "Initializing cameras..."
pyoptitrack.waitForInitialization()
print 'Running...'
cameraIDs = pyoptitrack.getCameraList()
leftCamera = Camera(cameraIDs[0], 0, True)
rightCamera = Camera(cameraIDs[1], 1, False)
'''
# Just for timing!
blobs = []
times = []
while True:
L = leftCamera
R = rightCamera
bs = L.blobs
if blobs != bs:
blobs = bs
times += [time.time()]
if len(times) == 100:
print times
times = []
L.transformBlobs()
R.transformBlobs()
# cluster non-corners into nodes
L.clusterNodes()
R.clusterNodes()
def f(n): # returns location of the cluster with n blobs, combining left and right data
if n in L.nodes:
if n in R.nodes:
return ((L.nodes[n][0] + R.nodes[n][0] + BOARD_SIZE[0]/2)/2,
(L.nodes[n][1] + R.nodes[n][1])/2)
else:
return L.nodes[n]
else:
if n in R.nodes:
return (R.nodes[n][0] + BOARD_SIZE[0]/2, R.nodes[n][1])
else:
return None
nodes = [x for x in [f(1), f(2), f(3)] if x is not None]
'''
root = CameraDebugWindow(leftCamera, rightCamera)
root.geometry("800x800+100+100") # WIDTHxHEIGHT+X+Y
root.mainloop()
print 'Shutting down...'
pyoptitrack.shutdown()
def main():
print "Initializing cameras..."
pyoptitrack.waitForInitialization()
cameras = pyoptitrack.getCameraList()
leftCamera = Camera(cameras[0], 0)
rightCamera = Camera(cameras[1], 1)
root = Tk()
blobFrame = BlobFrame(root, leftCamera, rightCamera)
dims = (BOARD_SIZE[0]*SCALE, BOARD_SIZE[1]*SCALE)
root.geometry("%dx%d+0+0" % dims) # WIDTHxHEIGHT+X+Y
root.mainloop()
print 'Shutting down...'
pyoptitrack.shutdown()