def main(move_time=10.0):
fb = FrameBuffer(move_time)
fb.track_only()
start = time.time()
time.sleep(move_time)
fb.stop_tracking()
end = time.time()
trajectory = fb.tracking_period(start, end)
ovar = optivrepar.OptiVrepAR()
ovar.execute(trajectory)
ovar.close()
def main(move_time=10.0):
fb = FrameBuffer(move_time)
fb.track_only()
start = time.time()
time.sleep(move_time)
fb.stop_tracking()
end = time.time()
trajectory = fb.tracking_period(start, end)
ovar = optivrepar.OptiVrepAR()
ovar.execute(trajectory)
ovar.close()
import time, sys
import numpy as np
import env
from natnet import FrameBuffer
addr = '239.255.42.99'
if len(sys.argv) > 1:
addr = addr[:-len(sys.argv[1])] + sys.argv[1]
fb = FrameBuffer(1.0, addr=addr)
fb.track()
start = time.time()
time.sleep(1.2)
fb.stop_tracking()
data = fb.tracking_period(start, start+1.0)
print('mean tracker position: {}'.format(np.mean(np.array([d[1] for d in data]), axis = 0)))
import time, sys
import numpy as np
import env
from natnet import FrameBuffer
addr = '239.255.42.99'
if len(sys.argv) > 1:
addr = addr[:-len(sys.argv[1])] + sys.argv[1]
fb = FrameBuffer(1.0, addr=addr)
fb.track()
start = time.time()
time.sleep(1.2)
fb.stop_tracking()
data = fb.tracking_period(start, start + 1.0)
print('mean tracker position: {}'.format(
np.mean(np.array([d[1] for d in data]), axis=0)))
