Recent Changes

Differences

This shows you the differences between two versions of the page.

--- 224:desktop_ext:context_insights [2022/06/22 14:09]
arnaud [Concepts]
+++ 224:desktop_ext:context_insights [2022/06/22 15:52]
jeroen
@@ Line 1: / Line 1: @@
-====== ContextInsights - Execution ======
+====== ContextInsights ======
 This page applies to the following products:
@@ Line 16: / Line 16: @@
-===== Jobs =====
+===== Jobs description =====
-A ContextInsights job will leverage machine learning to execute different types of detection in reality data. There are various types of jobs available in Orbit Feature Extraction Pro:
+A ContextInsights job will leverage machine learning to execute different types of detection in reality data.\\
-•	Image 2D Objects: Will detect elements as regular 2D-bouding boxes in images
+There are various types of jobs available in Orbit Feature Extraction Pro:\\
-•	Image 2D Segmentation: Will detect regions in images and deliver segmented raster
+\\
-•	3D segmentation: Attribute a class to each point of the laserscan data
+Detectors can be [[https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/w/wiki/54656/context-insights-detectors-download-page|downloaded here]] before being unzipped and used by your instance\\
+\\
+•	Image 2D Objects: Will detect elements as regular 2D-bouding boxes in images\\
+•	Image 2D Segmentation: Will detect regions in images and deliver segmented raster\\
+•	3D segmentation: Attribute a class to each point of laserscan data\\
+\\
 Each job type requires suited detector to be executed on reality data, e.g: a 2D segmentation detector will only be usable for image based segmentation jobs
-===== Preferences =====
+===== Jobs execution =====
-Configure the directories to Python, the virtual environment and the Context Insights detectors.
+In this section, it is assumed ContextInsights has been installed as recommended and Preferences have been set.\\
-The detectors and specs are listed underneath.
+\\
-===== Action =====
+  - Launch ContextInsights Engine\\ {{:224:desktop_ext:cinsights_engine.jpg?200|}}
+  - Set in Extensions
+  - ContextInsights\\ {{:224:desktop_ext:extensions.jpg?200|}}
+  - Define whether you want to create a new job or open existing one
+  - Choose the output folder of the detection
+  - Choose annotation type:\\ **IMPORTANT**: Image based jobs can only run on JPG images\\ {{:224:desktop_ext:annotations_type.jpg?200|}}
+      * 2D objects: Regular 2D boxes around assets
+      * Image 2D segmentation: Regions to segmented raster
+      * 3D segmentation: classify each element of a pointcloud
+  - Choose a detector depending on the information you aim at extracting\\ {{:224:desktop_ext:detector.jpg?200|}}
+  - Define the source data detection job must occur on
+  - Start job\\ {{:224:desktop_ext:start.jpg?200|}}
-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.
-===== Annotation Type =====
-Depending on the added detectors, the following annotation types will be selectable.
-==== Image 2D Objects ====
-  * Import the scene xml file as 2D Object annotations to overlay the results on original or optimized images
-==== Image 2D Segmentation ====
-  * Apply Segmentation at optimize imagery to display the result on optimized images
-==== Pointcloud 3D Segmentation ====
-===== Analyze =====
-Delegate the process to the task manager or start now. Running the Context Capture Engine is required before starting the process.
 ===== Import =====

Last modified:: 2022/06/23 09:38