View an uploaded scene

once a scene has been created, and we have processed it, it is possible to view it in the annotation tool (without annotation capabilities) find the view link every scene has a view link that allows it to be viewed in the annotation tool, without any annotation capabilities you can find the scene again either in the kognic platform or via the python client use the get scenes by uuids method to get the scene object, and then access its view link attribute, which is populated once the scene is ready scene = client scene get scenes by uuids(\[scene uuid])\[0] print(f"view the scene at {scene view link}") note that you may need to contact kognic to get access to data orchestration in case you do not see it go to the data orchestration tab in the kognic platform and search for the scene by its uuid or use any other suitable search criteria once it is ready, you can view it by clicking on the link provided when opening the menu it may take a short time for the scene to transition from "processing" to "ready" check calibration of 3d scenes 3d scenes (those with lidar/radar) require a calibration, which can be checked for accuracy when viewing the scene start by opening the scene view link as described above in the 2d view you can overlay the projected pointcloud onto the camera images click on the "2d" button at the top left of the scene view open the "view" menu, then "pointcloud overlay" and then "depth" compare the overlaid points with the features of the image in the 3d view you can compare where specific 3d points end up when projected into 2d click on the "3d" button at the top left of the scene view find a well defined object in the pointcloud and hover the mouse cursor over a point on it the cursor position is projected into the selected camera and shown as a dot on the camera thumbnail at the top right calibrations are immutable if you detect a calibration error this way, it is necessary to recreate the scene with a corrected calibration it is therefore a good idea to check a few scenes before uploading a large dataset that all use the same calibration