Search TipsCompositing Using Google Jump Data
CaraVR's Google Jump toolset allows you to quickly extract depth information from Google Jump metadata to construct point clouds for use with depth-dependent workflows. The depth data is particularly useful for positioning 3D elements accurately and then rendering into 2D through C_RayRender.
To set up the toolset:
| 1. | Navigate to CaraVR > Toolsets > Google_Jump_Depth_To_Points. |
The preset node tree is added to the Node Graph.
| 2. | Nuke prompts you to create left and right views, if they don't exist in your script. |
| 3. | Connect the source image to the Image Input and the depth information to the Depth Input. |
Note: Ensure that the Depth Input Read colorspace is set to linear.
| 4. | Connect a Viewer to the Read node to view depth data. Brighter areas are closer to the rig and darker areas are farther away. |
In the example, the bushes to the left of the image are in the foreground and the trees to the right are in the background.
| 5. | Attach a Viewer to the C_RayRender node to view the scene. |
The toolset reads the camera metadata from the .json file produced by the rig using the custom GoogleJumpConfig node.
Note: If you update the metadata, click Load from Jump Metadata to update the script.
The depth data and camera data are then processed by a BlinkScript kernel, converted to a point cloud, and then passed into C_RayRender.
The default toolset adds a cube to the scene, using the injected data to position it accurately. You can swap out the example geometry to test other objects within the scene.
| 6. | You can also examine the scene in the 3D Viewer by pressing Tab. Navigate around the 360° scene using the standard Nuke navigation controls: Ctrl/Cmd to rotate the camera and Alt to pan. |
