init = np.array(np.median(init_buffer, axis=0))
# Load horizon-markers
horizont_type = db_start.getMarkerType(name="Horizon")
try:
horizon_markers = np.array(
[[m.x, m.y] for m in db_start.getMarkers(type=horizont_type)]).T
except ValueError:
raise ValueError("No markers with name 'Horizon'!")
# Load penguin-markers
penguin_type = db_start.getMarkerType(name="Penguin_Size")
try:
penguin_markers = np.array([[m.x1, m.y1, m.x2, m.y2]
for m in db_start.getLines(type="Penguin_Size")
]).T
except ValueError:
raise ValueError("No markers with name 'Horizon'!")
VB = SiAdViBeSegmentation(horizon_markers,
14e-3, [17e-3, 9e-3],
penguin_markers,
penguin_height,
500,
n=3,
init_image=init,
n_min=3,
r=7,
phi=1,
subsampling=2) #, camera_h=44.)
dtype=np.int)
# Load horizon-markers
horizont_type = db.getMarkerType(name="Horizon")
try:
horizon_markers = np.asarray([[m.x, m.y]
for m in db.getMarkers(type=horizont_type)
]).T
except ValueError:
raise ValueError("No markers with name 'Horizon'!")
# Load penguin-markers
penguin_type = db.getMarkerType(name="Penguin_Size")
try:
penguin_markers = np.asarray([[m.x1, m.y1, m.x2, m.y2]
for m in db.getLines(type="Penguin_Size")]).T
except ValueError:
raise ValueError("No markers with name 'Horizon'!")
# Initialize segmentation with init_image and start updating the first 10 frames.
VB = SiAdViBeSegmentation(horizon_markers,
14e-3, [17e-3, 9e-3],
penguin_markers,
penguin_height,
500,
n=5,
init_image=init,
n_min=3,
r=10,
phi=1) #, camera_h=44.)
for i in range(1, 10):