Plugin to ContextInsights

ContextInsights in Orbit3DM Feature Extraction Pro

A ContextInsights job will leverage machine learning to execute different types of detection in your reality data. There are various types of jobs available in Orbit Feature Extraction Pro:

• Image 2D Objects: Will detect elements as regular 2D-bounding boxes in images
• Image 2D Segmentation: Will detect regions in images and deliver segmented raster
• Point Cloud 3D Segmentation

Each job type requires a suited detector to be executed on reality data

A detector is a frozen model that is pre-trained by Bentley Systems. Running on your reality data through a ContextInsights job, it will automatically recognize elements of interest. List of pre-trained detectors is available here:
https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/54656/context-insights-detectors-download-page

A detector is specific to a certain job type. The quality of the detection will depend on the similarity between your dataset and the training dataset’s description.

• 8Gb RAM
• NVIDIA Graphics Card > 4.0Gb with up-to-date driver

https://softwaredownloads.bentley.com/

• Version 22.1 or higher
• Bentley CONNECT Edition

Unzip ContextInsights Detectors

• https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/54656/context-insights-detectors-download-page

Install Python

1. https://www.python.org/downloads/release/python-368/
2. “Windows x86-64 executable installer”

Install Python “Virtual Environment”

1. Open a command prompt
2. Navigate to ..\Python36\Scripts
3. Execute “pip install virtualenv”

Create Python “Virtual Environment”

1. Run “create_venv.bat” batch file
2. Verify message “Successfully installed ccmasterkernel-10.19.0.54 wheel-0.37.0” at the end