Customized visualization¶
The usage of Open3D convenient visualization functions draw_geometries
and draw_geometries_with_custom_animation
is straightforward. Everything can be done with the GUI. Press h inside the visualizer window to see helper information. For more details, see Visualization.
This tutorial focuses on more advanced functionalities to customize the behavior of the visualizer window. Please refer to examples/python/visualization/customized_visualization.py to try the following examples.
Mimic draw_geometries() with Visualizer class¶
37 38 39 40 41 42 43 44 | # The following code achieves the same effect as: # o3d.visualization.draw_geometries([pcd]) vis = o3d.visualization.Visualizer() vis.create_window() vis.add_geometry(pcd) vis.run() vis.destroy_window() |
This function produces exactly the same functionality as the convenience function draw_geometries
.
Class Visualizer
has a couple of variables such as a ViewControl
and a RenderOption
. The following function reads a predefined RenderOption
stored in a json file.
70 71 72 73 74 75 76 | vis = o3d.visualization.Visualizer() vis.create_window() vis.add_geometry(pcd) vis.get_render_option().load_from_json(render_option_path) vis.run() vis.destroy_window() |
Outputs:
Change field of view¶
To change field of view of the camera, it is first necessary to get an instance of the visualizer control. To modify the field of view, use change_field_of_view
.
47 48 49 50 51 52 53 54 55 56 | vis = o3d.visualization.Visualizer() vis.create_window() vis.add_geometry(pcd) ctr = vis.get_view_control() print("Field of view (before changing) %.2f" % ctr.get_field_of_view()) ctr.change_field_of_view(step=fov_step) print("Field of view (after changing) %.2f" % ctr.get_field_of_view()) vis.run() vis.destroy_window() |
The field of view (FoV) can be set to a degree in the range [5,90]. Note that change_field_of_view
adds the specified FoV to the current FoV. By default, the visualizer has an FoV of 60 degrees. Calling the following code
custom_draw_geometry_with_custom_fov(pcd, 90.0)
will add the specified 90 degrees to the default 60 degrees. As it exceeds the maximum allowable FoV, the FoV is set to 90 degrees.
The following code
custom_draw_geometry_with_custom_fov(pcd, -90.0)
will set FoV to 5 degrees, because 60 - 90 = -30 is less than 5 degrees.
Callback functions¶
59 60 61 62 63 64 65 66 67 | def rotate_view(vis): ctr = vis.get_view_control() ctr.rotate(10.0, 0.0) return False o3d.visualization.draw_geometries_with_animation_callback([pcd], rotate_view) |
Function draw_geometries_with_animation_callback
registers a Python callback function rotate_view
as the idle function of the main loop. It rotates the view along the x-axis whenever the visualizer is idle. This defines an animation behavior.
79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | def change_background_to_black(vis): opt = vis.get_render_option() opt.background_color = np.asarray([0, 0, 0]) return False def load_render_option(vis): vis.get_render_option().load_from_json(render_option_path) return False def capture_depth(vis): depth = vis.capture_depth_float_buffer() plt.imshow(np.asarray(depth)) plt.show() return False def capture_image(vis): image = vis.capture_screen_float_buffer() plt.imshow(np.asarray(image)) plt.show() return False key_to_callback = {} key_to_callback[ord("K")] = change_background_to_black key_to_callback[ord("R")] = load_render_option key_to_callback[ord(",")] = capture_depth key_to_callback[ord(".")] = capture_image o3d.visualization.draw_geometries_with_key_callbacks([pcd], key_to_callback) |
Callback functions can also be registered upon key press event. This script registered four keys. For example, pressing k changes the background color to black.
Capture images in a customized animation¶
109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 | custom_draw_geometry_with_camera_trajectory.index = -1 custom_draw_geometry_with_camera_trajectory.trajectory =\ o3d.io.read_pinhole_camera_trajectory(camera_trajectory_path) custom_draw_geometry_with_camera_trajectory.vis = o3d.visualization.Visualizer( ) image_path = os.path.join(test_data_path, 'image') if not os.path.exists(image_path): os.makedirs(image_path) depth_path = os.path.join(test_data_path, 'depth') if not os.path.exists(depth_path): os.makedirs(depth_path) def move_forward(vis): # This function is called within the o3d.visualization.Visualizer::run() loop # The run loop calls the function, then re-render # So the sequence in this function is to: # 1. Capture frame # 2. index++, check ending criteria # 3. Set camera # 4. (Re-render) ctr = vis.get_view_control() glb = custom_draw_geometry_with_camera_trajectory if glb.index >= 0: print("Capture image {:05d}".format(glb.index)) depth = vis.capture_depth_float_buffer(False) image = vis.capture_screen_float_buffer(False) plt.imsave(os.path.join(depth_path, '{:05d}.png'.format(glb.index)), np.asarray(depth), dpi=1) plt.imsave(os.path.join(image_path, '{:05d}.png'.format(glb.index)), np.asarray(image), dpi=1) # vis.capture_depth_image("depth/{:05d}.png".format(glb.index), False) # vis.capture_screen_image("image/{:05d}.png".format(glb.index), False) glb.index = glb.index + 1 if glb.index < len(glb.trajectory.parameters): ctr.convert_from_pinhole_camera_parameters( glb.trajectory.parameters[glb.index], allow_arbitrary=True) else: custom_draw_geometry_with_camera_trajectory.vis.\ register_animation_callback(None) return False vis = custom_draw_geometry_with_camera_trajectory.vis vis.create_window() vis.add_geometry(pcd) vis.get_render_option().load_from_json(render_option_path) vis.register_animation_callback(move_forward) vis.run() vis.destroy_window() |
This function reads a camera trajectory, then defines an animation function move_forward
to travel through the camera trajectory. In this animation function, both color image and depth image are captured using Visualizer.capture_depth_float_buffer
and Visualizer.capture_screen_float_buffer
respectively. The images are saved as png files.
The captured image sequence:
The captured depth sequence: