depth_im = np.array(Image.open(imagefile_d))
tracker.initialize(image=image, state=selection, depth_im=depth_im)
while True:
imagefile = handle.frame()
if not imagefile:
break
# imagefile = ''.join(imagefile)
# imagefile = imagefile[20:-2]
# image = tracker._read_image(imagefile)
imagefile_rgb = imagefile[0]
imagefile_d = imagefile[1]
assert imagefile_rgb.find("color") >= 0
assert imagefile_d.find("depth") >= 0
image = tracker._read_image(imagefile_rgb)
depth_im = np.array(Image.open(imagefile_d))
start_time = time.time()
state = tracker.track(image=image, depth_im=depth_im)
#overlay_boxes(image, state, imagefile[0], tracker_name)
#confidence=1
selection = Rectangle(state[0], state[1], state[2], state[3])
handle.report(selection)
time.sleep(0.01)
depth_im = np.array(Image.open(imagefile_d))
tracker.initialize(image=image, state=selection, depth_im=depth_im)
while True:
imagefile = handle.frame()
if not imagefile:
break
# imagefile = ''.join(imagefile)
# imagefile = imagefile[20:-2]
# image = tracker._read_image(imagefile)
imagefile_rgb = imagefile[0]
imagefile_d = imagefile[1]
assert imagefile_rgb.find("color") >= 0
assert imagefile_d.find("depth") >= 0
image = tracker._read_image(imagefile_rgb)
depth_im = np.array(Image.open(imagefile_d))
start_time = time.time()
state, conf = tracker.track(image=image, depth_im=depth_im)
#overlay_boxes(image, state, imagefile[0], tracker_name)
#confidence=1
selection = Rectangle(state[0], state[1], state[2], state[3])
handle.report(selection, conf)
time.sleep(0.01)