Exemplo n.º 1
0
    def __init__(self):
        self.start = 0
        self.step = 5
        self.end = self.step * 500
        self.count = 0

        self.ren = vtk.vtkRenderer()

        args = parse_args(sys.argv[1], sys.argv[2])

        # Transforms
        self.imu_transforms = get_transforms(args)
        self.trans_wrt_imu = self.imu_transforms[
            self.start:self.end:self.step, 0:3, 3]
        self.params = args['params']
        self.lidar_params = self.params['lidar']

        ml = MultiLane(sys.argv[3], sys.argv[4], 2, 2)

        ml.extendLanes()
        saveInterp(ml.interp, ml.rightLanes + ml.leftLanes)
        ml.filterLaneMarkings()

        print 'Adding filtered points'
        pts = ml.lanes.copy()
        raw_cloud = VtkPointCloud(pts[:, :3], pts[:, 4])
        raw_actor = raw_cloud.get_vtk_cloud(zMin=0, zMax=100)
        self.ren.AddActor(raw_actor)

        try:
            npz = np.load('cluster.npz')
            print 'Loading clusters from file'
            ml.lanes = npz['data']
            ml.times = npz['t']
        except IOError:
            print 'Clustering points'
            ml.clusterLanes()
            ml.saveLanes('cluster.npz')

        ml.sampleLanes()

        print 'Adding clustered points'
        clusters = ml.lanes.copy()
        cluster_cloud = VtkPointCloud(clusters[:, :3], clusters[:, -2])
        cluster_actor = cluster_cloud.get_vtk_cloud(zMin=0, zMax=4)
        cluster_actor.GetProperty().SetPointSize(10)
        self.ren.AddActor(cluster_actor)

        print 'Interpolating lanes'
        ml.interpolateLanes()
        interp_lanes = ml.interp_lanes.copy()
        interp_lanes_cloud = VtkPointCloud(interp_lanes[:, :3], interp_lanes[:, 3])
        interp_lanes_actor = interp_lanes_cloud.get_vtk_cloud(zMin=0, zMax=4)
        self.ren.AddActor(interp_lanes_actor)

        # ml.fixMissingPoints()
        # saveClusters(ml.lanes, ml.times, -1, 5)

        print 'Adding car'
        self.car = load_ply('../mapping/viz/gtr.ply')
        self.ren.AddActor(self.car)
        self.car.GetProperty().LightingOff()

        print 'Rendering'
        self.ren.ResetCamera()

        self.win = vtk.vtkRenderWindow()
        self.ren.SetBackground(0, 0, 0)
        self.win.AddRenderer(self.ren)
        self.win.SetSize(800, 400)

        self.iren = vtk.vtkRenderWindowInteractor()
        self.iren .SetRenderWindow(self.win)
        mouseInteractor = vtk.vtkInteractorStyleTrackballCamera()
        self.iren.SetInteractorStyle(mouseInteractor)
        self.iren.Initialize()

        # Whether to write video
        self.record = False

        # Set up time
        self.iren.AddObserver('TimerEvent', self.update)
        self.timer = self.iren.CreateRepeatingTimer(100)

        # Add keypress event
        self.iren.AddObserver('KeyPressEvent', self.keyhandler)
        self.mode = 'ahead'

        self.iren.Start()
Exemplo n.º 2
0
    def __init__(self):
        self.start = 0
        self.step = 5
        self.end = self.step * 500
        self.count = 0

        self.ren = vtk.vtkRenderer()

        args = parse_args(sys.argv[1], sys.argv[2])

        # Transforms
        self.imu_transforms = get_transforms(args)
        self.trans_wrt_imu = self.imu_transforms[self.start:self.end:self.step,
                                                 0:3, 3]
        self.params = args['params']
        self.lidar_params = self.params['lidar']

        ml = MultiLane(sys.argv[3], sys.argv[4], 2, 2)

        ml.extendLanes()
        saveInterp(ml.interp, ml.rightLanes + ml.leftLanes)
        ml.filterLaneMarkings()

        print 'Adding filtered points'
        pts = ml.lanes.copy()
        raw_cloud = VtkPointCloud(pts[:, :3], pts[:, 4])
        raw_actor = raw_cloud.get_vtk_cloud(zMin=0, zMax=100)
        self.ren.AddActor(raw_actor)

        try:
            npz = np.load('cluster.npz')
            print 'Loading clusters from file'
            ml.lanes = npz['data']
            ml.times = npz['t']
        except IOError:
            print 'Clustering points'
            ml.clusterLanes()
            ml.saveLanes('cluster.npz')

        ml.sampleLanes()

        print 'Adding clustered points'
        clusters = ml.lanes.copy()
        cluster_cloud = VtkPointCloud(clusters[:, :3], clusters[:, -2])
        cluster_actor = cluster_cloud.get_vtk_cloud(zMin=0, zMax=4)
        cluster_actor.GetProperty().SetPointSize(10)
        self.ren.AddActor(cluster_actor)

        print 'Interpolating lanes'
        ml.interpolateLanes()
        interp_lanes = ml.interp_lanes.copy()
        interp_lanes_cloud = VtkPointCloud(interp_lanes[:, :3],
                                           interp_lanes[:, 3])
        interp_lanes_actor = interp_lanes_cloud.get_vtk_cloud(zMin=0, zMax=4)
        self.ren.AddActor(interp_lanes_actor)

        # ml.fixMissingPoints()
        # saveClusters(ml.lanes, ml.times, -1, 5)

        print 'Adding car'
        self.car = load_ply('../mapping/viz/gtr.ply')
        self.ren.AddActor(self.car)
        self.car.GetProperty().LightingOff()

        print 'Rendering'
        self.ren.ResetCamera()

        self.win = vtk.vtkRenderWindow()
        self.ren.SetBackground(0, 0, 0)
        self.win.AddRenderer(self.ren)
        self.win.SetSize(800, 400)

        self.iren = vtk.vtkRenderWindowInteractor()
        self.iren.SetRenderWindow(self.win)
        mouseInteractor = vtk.vtkInteractorStyleTrackballCamera()
        self.iren.SetInteractorStyle(mouseInteractor)
        self.iren.Initialize()

        # Whether to write video
        self.record = False

        # Set up time
        self.iren.AddObserver('TimerEvent', self.update)
        self.timer = self.iren.CreateRepeatingTimer(100)

        # Add keypress event
        self.iren.AddObserver('KeyPressEvent', self.keyhandler)
        self.mode = 'ahead'

        self.iren.Start()