def addLaneToCloud(self, lane_wrt_mbly): for lane in self.mbly_vtk_lanes: self.cloud_ren.RemoveActor(lane.actor) self.mbly_vtk_lanes = [] for i in xrange(lane_wrt_mbly.shape[0]): type = int(lane_wrt_mbly[i, 5]) color = self.mbly_lane_color[type] * 255 size = self.mbly_lane_size[type] subsamp = self.mbly_lane_subsamp[type] lane_pts_wrt_mbly = self.getLanePointsFromModel(lane_wrt_mbly[i, :]) if lane_pts_wrt_mbly is None: continue pts_wrt_global = self.xformMblyToGlobal(lane_pts_wrt_mbly) pts_wrt_global = pts_wrt_global[::subsamp] num_pts = pts_wrt_global.shape[0] vtk_lane = VtkPointCloud(pts_wrt_global, np.tile(color, (num_pts, 1))) actor = vtk_lane.get_vtk_color_cloud() actor.GetProperty().SetPointSize(size) self.mbly_vtk_lanes.append(vtk_lane) self.cloud_ren.AddActor(actor)
def addLaneToCloud(self, lane_wrt_mbly): for lane in self.mbly_vtk_lanes: self.cloud_ren.RemoveActor(lane.actor) self.mbly_vtk_lanes = [] for i in xrange(lane_wrt_mbly.shape[0]): type = int(lane_wrt_mbly[i, 5]) color = self.mbly_lane_color[type] * 255 size = self.mbly_lane_size[type] subsamp = self.mbly_lane_subsamp[type] lane_pts_wrt_mbly = self.getLanePointsFromModel( lane_wrt_mbly[i, :]) if lane_pts_wrt_mbly is None: continue pts_wrt_global = self.xformMblyToGlobal(lane_pts_wrt_mbly) pts_wrt_global = pts_wrt_global[::subsamp] num_pts = pts_wrt_global.shape[0] vtk_lane = VtkPointCloud(pts_wrt_global, np.tile(color, (num_pts, 1))) actor = vtk_lane.get_vtk_color_cloud() actor.GetProperty().SetPointSize(size) self.mbly_vtk_lanes.append(vtk_lane) self.cloud_ren.AddActor(actor)
def __init__(self): if len(sys.argv) <= 2 or '--help' in sys.argv: print """Usage: {name} folder/ video.avi """.format(name = sys.argv[0]) sys.exit(-1) args = parse_args(sys.argv[1], sys.argv[2]) self.args = args bg_file = glob.glob(args['fullname'] + '*bg.npz')[0] print sys.argv self.small_step = 5 self.large_step = 10 self.startup_complete = False ##### Grab all the transforms ###### self.absolute = False (self.imu_transforms_mk1, self.gps_data_mk1, self.gps_times_mk1) = get_transforms(args, 'mark1', self.absolute) (self.imu_transforms_mk2, self.gps_data_mk2, self.gps_times_mk2) = get_transforms(args, 'mark2', self.absolute) self.mk2_t = 0 self.t = self.mk2_to_mk1() self.cur_imu_transform = self.imu_transforms_mk1[self.t, :,:] self.imu_kdtree = cKDTree(self.imu_transforms_mk1[:, :3, 3]) self.params = args['params'] self.lidar_params = self.params['lidar'] self.T_from_i_to_l = np.linalg.inv(self.lidar_params['T_from_l_to_i']) cam_num = args['cam_num'] self.cam_params = self.params['cam'][cam_num] # Load the MobilEye file self.mbly_loader = MblyLoader(args) self.mbly_rot = [0.0, -0.005, -0.006] self.mbly_T = [5.4, 0.0, -1.9] # Is the flyover running self.running = False # Has the user changed the time self.manual_change = 0 ###### Set up the renderers ###### self.cloud_ren = vtk.vtkRenderer() self.cloud_ren.SetViewport(0, 0, 1.0, 1.0) self.cloud_ren.SetBackground(0, 0, 0) self.img_ren = vtk.vtkRenderer() # self.img_ren.SetViewport(0.7, 0.0, 1.0, 0.37) self.img_ren.SetViewport(0.6, 0.6, 1.0, 1.0) self.img_ren.SetInteractive(False) self.img_ren.SetBackground(0.1, 0.1, 0.1) self.win = vtk.vtkRenderWindow() self.win.StereoCapableWindowOff() self.win.AddRenderer(self.cloud_ren) self.win.AddRenderer(self.img_ren) self.win.SetSize(800, 400) self.iren = vtk.vtkRenderWindowInteractor() self.iren.SetRenderWindow(self.win) ###### Cloud Actors ###### print 'Adding raw points' raw_npz = np.load(bg_file) pts = raw_npz['data'] raw_cloud = VtkPointCloud(pts[:, :3], np.ones(pts[:, :3].shape) * 255) raw_actor = raw_cloud.get_vtk_color_cloud() self.raw_lidar = VTKCloudTree(raw_cloud, raw_actor, build_tree=False) self.raw_lidar_2d = DataTree(self.raw_lidar.pts[:, :-1], build_tree=False) self.raw_lidar.actor.GetProperty().SetPointSize(2) self.raw_lidar.actor.GetProperty().SetOpacity(0.1) self.raw_lidar.actor.SetPickable(0) self.cloud_ren.AddActor(self.raw_lidar.actor) print 'Adding car' self.car = load_ply('../mapping/viz/gtr.ply') self.car.SetPickable(0) self.car.GetProperty().LightingOff() self.cloud_ren.AddActor(self.car) self.mbly_vtk_boxes = [] # Car: 0, Truck: 1, Bike: 2, Other: 3-7 red = np.array((1, 0, 0)) green = np.array((0, 1, 0)) blue = np.array((0, 0, 1)) white = red+green+blue self.mbly_obj_colors = [red, green, blue, white] self.mbly_vtk_lanes = [] # Dashed: 0, Solid: 1, undecided: 2, Edge: 3, Double: 4, Botts_Dots: 5 self.mbly_lane_color = [green, green, red, blue, white, green] self.mbly_lane_size = [2, 3, 1, 1, 2, 1] self.mbly_lane_subsamp = [20, 1, 1, 1, 1, 40] # Use our custom mouse interactor self.interactor = LaneInteractorStyle(self.iren, self.cloud_ren, self) self.iren.SetInteractorStyle(self.interactor) ###### 2D Projection Actors ###### self.video_reader = VideoReader(args['video']) self.img_actor = None self.I = None ###### Add Callbacks ###### print 'Rendering' self.iren.Initialize() # Set up time self.iren.AddObserver('TimerEvent', self.update) self.timer = self.iren.CreateRepeatingTimer(10) self.iren.Start()
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()
def __init__(self): if len(sys.argv) <= 2 or '--help' in sys.argv: print """Usage: {name} folder/ video.avi """.format(name=sys.argv[0]) sys.exit(-1) args = parse_args(sys.argv[1], sys.argv[2]) self.args = args bg_file = glob.glob(args['fullname'] + '*bg.npz')[0] print sys.argv self.small_step = 5 self.large_step = 10 self.startup_complete = False ##### Grab all the transforms ###### self.absolute = False (self.imu_transforms_mk1, self.gps_data_mk1, self.gps_times_mk1) = get_transforms(args, 'mark1', self.absolute) (self.imu_transforms_mk2, self.gps_data_mk2, self.gps_times_mk2) = get_transforms(args, 'mark2', self.absolute) self.mk2_t = 0 self.t = self.mk2_to_mk1() self.cur_imu_transform = self.imu_transforms_mk1[self.t, :, :] self.imu_kdtree = cKDTree(self.imu_transforms_mk1[:, :3, 3]) self.params = args['params'] self.lidar_params = self.params['lidar'] self.T_from_i_to_l = np.linalg.inv(self.lidar_params['T_from_l_to_i']) cam_num = args['cam_num'] self.cam_params = self.params['cam'][cam_num] # Load the MobilEye file self.mbly_loader = MblyLoader(args) self.mbly_rot = [0.0, -0.005, -0.006] self.mbly_T = [5.4, 0.0, -1.9] # Is the flyover running self.running = False # Has the user changed the time self.manual_change = 0 ###### Set up the renderers ###### self.cloud_ren = vtk.vtkRenderer() self.cloud_ren.SetViewport(0, 0, 1.0, 1.0) self.cloud_ren.SetBackground(0, 0, 0) self.img_ren = vtk.vtkRenderer() # self.img_ren.SetViewport(0.7, 0.0, 1.0, 0.37) self.img_ren.SetViewport(0.6, 0.6, 1.0, 1.0) self.img_ren.SetInteractive(False) self.img_ren.SetBackground(0.1, 0.1, 0.1) self.win = vtk.vtkRenderWindow() self.win.StereoCapableWindowOff() self.win.AddRenderer(self.cloud_ren) self.win.AddRenderer(self.img_ren) self.win.SetSize(800, 400) self.iren = vtk.vtkRenderWindowInteractor() self.iren.SetRenderWindow(self.win) ###### Cloud Actors ###### print 'Adding raw points' raw_npz = np.load(bg_file) pts = raw_npz['data'] raw_cloud = VtkPointCloud(pts[:, :3], np.ones(pts[:, :3].shape) * 255) raw_actor = raw_cloud.get_vtk_color_cloud() self.raw_lidar = VTKCloudTree(raw_cloud, raw_actor, build_tree=False) self.raw_lidar_2d = DataTree(self.raw_lidar.pts[:, :-1], build_tree=False) self.raw_lidar.actor.GetProperty().SetPointSize(2) self.raw_lidar.actor.GetProperty().SetOpacity(0.1) self.raw_lidar.actor.SetPickable(0) self.cloud_ren.AddActor(self.raw_lidar.actor) print 'Adding car' self.car = load_ply('../mapping/viz/gtr.ply') self.car.SetPickable(0) self.car.GetProperty().LightingOff() self.cloud_ren.AddActor(self.car) self.mbly_vtk_boxes = [] # Car: 0, Truck: 1, Bike: 2, Other: 3-7 red = np.array((1, 0, 0)) green = np.array((0, 1, 0)) blue = np.array((0, 0, 1)) white = red + green + blue self.mbly_obj_colors = [red, green, blue, white] self.mbly_vtk_lanes = [] # Dashed: 0, Solid: 1, undecided: 2, Edge: 3, Double: 4, Botts_Dots: 5 self.mbly_lane_color = [green, green, red, blue, white, green] self.mbly_lane_size = [2, 3, 1, 1, 2, 1] self.mbly_lane_subsamp = [20, 1, 1, 1, 1, 40] # Use our custom mouse interactor self.interactor = LaneInteractorStyle(self.iren, self.cloud_ren, self) self.iren.SetInteractorStyle(self.interactor) ###### 2D Projection Actors ###### self.video_reader = VideoReader(args['video']) self.img_actor = None self.I = None ###### Add Callbacks ###### print 'Rendering' self.iren.Initialize() # Set up time self.iren.AddObserver('TimerEvent', self.update) self.timer = self.iren.CreateRepeatingTimer(10) self.iren.Start()
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()
def __init__(self): self.start = EXPORT_START self.end = EXPORT_START + EXPORT_NUM * EXPORT_STEP self.step = EXPORT_STEP self.count = 0 self.ren = vtk.vtkRenderer() ''' Transforms ''' self.imu_transforms = get_transforms() self.trans_wrt_imu = self.imu_transforms[self.start:self.end:self.step, 0:3, 3] self.params = LoadParameters('q50_4_3_14_params') self.radar_params = self.params['radar'] self.lidar_params = self.params['lidar'] ''' Radar ''' self.rdr_pts = loadRDRCamMap(MAP_FILE) self.radar_actors = [] print 'Adding transforms' gps_cloud = VtkPointCloud(self.trans_wrt_imu[:, 0:3], 0 * self.trans_wrt_imu[:, 0]) self.ren.AddActor(gps_cloud.get_vtk_cloud()) #print 'Adding octomap' #octomap_actor = load_octomap(OCTOMAP_H5_FILE) #self.ren.AddActor(octomap_actor) print 'Adding point cloud' cloud_actor = load_vtk_cloud(STATIC_VTK_FILE) self.ren.AddActor(cloud_actor) #dynamic_actor = load_vtk_cloud(DYNAMIC_VTK_FILE) #dynamic_actor.GetProperty().SetColor(0, 0, 1) #dynamic_actor.GetMapper().ScalarVisibilityOff() #self.ren.AddActor(dynamic_actor) print 'Adding car' self.car = load_ply('gtr.ply') self.ren.AddActor(self.car) print 'Rendering' self.ren.ResetCamera() self.win = vtk.vtkRenderWindow() self.win.AddRenderer(self.ren) self.win.SetSize(400, 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()