data=self.camera.color_image())
self.update_progress(i + 1)
class TimelapseCameraControlWidget(CameraControlWidget):
"""A control widget for the Lumenera camera, with extra buttons."""
def __init__(self, camera, auto_connect=True):
super(TimelapseCameraControlWidget, self).__init__(camera,
auto_connect=False)
gb = QuickControlBox()
gb.add_doublespinbox("exposure")
gb.add_spinbox("timelapse_n")
gb.add_doublespinbox("timelapse_dt")
gb.add_button("take_timelapse", title="Acquire Timelapse")
self.layout().insertWidget(1,
gb) # put the extra settings in the middle
self.quick_settings_groupbox = gb
self.auto_connect_by_name(controlled_object=self.camera, verbose=False)
if __name__ == '__main__':
device = int(input("Enter the number of the camera to use: "))
cam = DumbOpenCVCameraWithTimelapse(device)
df = nplab.datafile.set_temporary_current_datafile()
cam.live_view = True
show_guis([cam, df])
cam.live_view = False
cam.close()
nplab.close_current_datafile()
elif sys_args['raster_3d']:
raster3d = exp.RasterXYZ(scope, config)
raster3d.run()
elif sys_args['timed']:
timed = exp.TimedMeasurements(scope, config)
timed.run()
elif sys_args['measure']:
print scope.sensor.average_n(1, 0)
elif sys_args['hill_walk']:
hilly = exp.HillWalk(scope, config)
hilly.run()
elif sys_args['hill_walk2']:
hill_walk = exp.AdaptiveHillWalk(scope, config,
**adaptive_kwargs)
hill_walk.run()
elif sys_args['drift_recentre']:
drift = exp.DriftReCentre(scope, config)
drift.run()
elif sys_args['move']:
positions = []
for axis in ['--x', '--y', '--z']:
if sys_args[axis] is None:
sys_args[axis] = 0
positions.append(int(sys_args[axis]))
print "Moved by {}".format(positions)
stage = micro.Stage(config)
stage.move_rel(positions)
nplab.close_current_datafile()