ContextInsights

This page describes how to use the extension “ContextInsights”

Main Toolbar > Extensions > Context Insights

The “ContextInsights” extension makes it possible to use Context Insights detectors on mapping resources and pointcloud resources. The detectors are Image 2D Annotations and 2D Segmentations.

Running Context Insights detectors requires Python version 3.6, ContextCapture Centure and original images from any mapping resource. The results can be directly imported in the mapping resources via the Annotations procedure. Install the contextinsights before running Context Insights jobs.

Configure the directories to Python, the virtual environment and the Context Insights detectors. The detectors and specs are listed underneath.

Create a new job and enter the target location of the results.

Open an existing job and browse to the location of the results.

Drag and drop a directory from file explorer into Orbit.

Depending on the added detectors, the following annotation types will be selectable.

• Import the scene xml file as 2D Object annotations to overlay the results on original or optimized images

• Apply Segmentation at optimize imagery to display the result on optimized images

Delegate the process to the task manager or start now. Running the Context Capture Engine is required before starting the process.

Open the Annotations procedure where the result xml file is already pre-filled as source object annotation file.

Import 2D Objects or 2D Segmentations, depending on the chosen Annotation Type.

Open the target directory to verify the results.