def track_vot(self):
"""Run tracker on VOT."""
def _convert_anno_to_list(vot_anno):
vot_anno = [
vot_anno[0][0][0], vot_anno[0][0][1], vot_anno[0][1][0],
vot_anno[0][1][1], vot_anno[0][2][0], vot_anno[0][2][1],
vot_anno[0][3][0], vot_anno[0][3][1]
]
return vot_anno
def _convert_image_path(image_path):
image_path_new = image_path[20:-2]
return "".join(image_path_new)
handle = vot.VOT("polygon")
vot_anno_polygon = handle.region()
vot_anno_polygon = _convert_anno_to_list(vot_anno_polygon)
init_state = convert_vot_anno_to_rect(
vot_anno_polygon, self.params.vot_anno_conversion_type)
image_path = handle.frame()
if not image_path:
return
image_path = _convert_image_path(image_path)
image = self._read_image(image_path)
self.initialize(image, {'init_bbox': init_state})
if self.visdom is not None:
self.visdom.register((image, init_state), 'Tracking', 1,
'Tracking')
# Track
while True:
while True:
if not self.pause_mode:
break
elif self.step:
self.step = False
break
else:
time.sleep(0.1)
image_path = handle.frame()
if not image_path:
break
image_path = _convert_image_path(image_path)
image = self._read_image(image_path)
out = self.track(image)
state = out['target_bbox']
if self.visdom is not None:
self.visdom.register((image, state), 'Tracking', 1, 'Tracking')
handle.report(vot.Rectangle(state[0], state[1], state[2],
state[3]))
def run_vot(self, debug=None, visdom_info=None):
params = self.get_parameters()
params.tracker_name = self.name
params.param_name = self.parameter_name
params.run_id = self.run_id
debug_ = debug
if debug is None:
debug_ = getattr(params, 'debug', 0)
if debug is None:
visualization_ = getattr(params, 'visualization', False)
else:
visualization_ = True if debug else False
params.visualization = visualization_
params.debug = debug_
self._init_visdom(visdom_info, debug_)
tracker = self.create_tracker(params)
tracker.initialize_features()
import pytracking.evaluation.vot as vot
def _convert_anno_to_list(vot_anno):
vot_anno = [vot_anno[0][0][0], vot_anno[0][0][1], vot_anno[0][1][0], vot_anno[0][1][1],
vot_anno[0][2][0], vot_anno[0][2][1], vot_anno[0][3][0], vot_anno[0][3][1]]
return vot_anno
def _convert_image_path(image_path):
image_path_new = image_path[20:- 2]
return "".join(image_path_new)
"""Run tracker on VOT."""
handle = vot.VOT("polygon")
vot_anno_polygon = handle.region()
vot_anno_polygon = _convert_anno_to_list(vot_anno_polygon)
init_state = convert_vot_anno_to_rect(vot_anno_polygon, tracker.params.vot_anno_conversion_type)
image_path = handle.frame()
if not image_path:
return
image_path = _convert_image_path(image_path)
image = self._read_image(image_path)
tracker.initialize(image, {'init_bbox': init_state})
# Track
while True:
image_path = handle.frame()
if not image_path:
break
image_path = _convert_image_path(image_path)
image = self._read_image(image_path)
out = tracker.track(image)
state = out['target_bbox']
handle.report(vot.Rectangle(state[0], state[1], state[2], state[3]))
segmentation = out['segmentation'] if 'segmentation' in out else None
if self.visdom is not None:
tracker.visdom_draw_tracking(image, out['target_bbox'], segmentation)
elif tracker.params.visualization:
self.visualize(image, out['target_bbox'], segmentation)
