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224:desktop_ext:context_insights [2022/06/22 13:47] arnaud [ContextInsights - Execution] |
224:desktop_ext:context_insights [2022/06/23 09:38] (current) arnaud |
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- | ====== ContextInsights | + | ====== ContextInsights ====== |
- | This page applies | + | This page describes how to use the " |
+ | Specific system requirements and installation guidelines, see [[224:technology: | ||
- | * Orbit 3DM Feature Extraction Pro – from 22.04 - CONNECT Edition | + | {{orbit_desktop: |
+ | ===== Concepts ===== | ||
- | It page describes how to use the " | + | ==== Context Insights ==== |
- | {{orbit_desktop: | + | ContextInsights extension enables automatic detection on mapping and point cloud resources. \\ |
+ | It relies on detectors to identify objects or regions of interest. | ||
- | ContextInsights extension enables automatic information detection on mapping | + | Running Context Insights detectors requires Python, Context Insights Engine, |
+ | ==== Jobs ==== | ||
+ | |||
+ | A ContextInsights job will leverage machine learning to execute different types of detection in your reality data. \\ | ||
+ | There are various types of jobs available: | ||
+ | * Image 2D Objects: Will detect elements as regular 2D-bounding boxes in images. Regular 2D boxes around assets. | ||
+ | * Image 2D Segmentation: | ||
+ | * Point Cloud 3D Segmentation: | ||
- | ===== Concepts ===== | + | Each job type requires a suited detector to be executed on reality data. E.g: a 2D segmentation detector will only be usable for image based segmentation jobs |
- | Running Context Insights detectors requires Python version 3.6, ContextCapture Center Engine and original images from any mapping resource. The results can be directly imported in the mapping resources via the Annotations procedure. Install the [[224: | + | ==== Detectors ==== |
- | ===== Preferences ===== | + | 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:// | ||
- | Configure the directories | + | A detector is specific |
- | The detectors and specs are listed underneath. | + | |
- | ===== Action | + | ===== Launch Context Insights Engine |
- | Create a new job and enter the target location of the results. | + | Launch ContextInsights Engine \\ |
+ | {{: | ||
- | Open an existing job and browse to the location of the results. | + | ===== Context Insights Sidebar ===== |
- | Drag and drop a directory from file explorer into Orbit. | + | ==== Preferences ==== |
- | ===== Annotation Type ===== | + | Configure the directories to Python, the virtual environment, |
+ | The detectors and specs are listed underneath. | ||
- | Depending on the added detectors, the following annotation types will be selectable. | + | ==== Action ==== |
- | ==== Image 2D Objects ==== | + | Define whether you want to create a new job or open existing one |
+ | * Create a new job and enter the target location of the results. | ||
+ | * Open an existing job and browse to the location of the results. | ||
- | * Import the scene xml file as 2D Object annotations to overlay the results on original or optimized images | + | ==== Detectors ==== |
- | ==== Image 2D Segmentation ==== | + | Depending on the added detectors, the following annotation types will be available. |
- | * Apply Segmentation at optimize imagery to display the result | + | <note important> |
- | ==== Pointcloud 3D Segmentation ==== | + | ==== Analyze ==== |
- | + | ||
- | ===== Analyze | + | |
Delegate the process to the task manager or start now. Running the Context Capture Engine is required before starting the process. | Delegate the process to the task manager or start now. Running the Context Capture Engine is required before starting the process. | ||
- | ===== Import | + | ==== Import ==== |
- | ==== Open Procedure ==== | + | === Open Procedure === |
- | + | ||
- | Open the Annotations procedure where the result xml file is already pre-filled as source object annotation file. | + | |
+ | Open the Annotations procedure where the result xml file is already pre-filled as source object annotation file. \\ | ||
Import 2D Objects or 2D Segmentations, | Import 2D Objects or 2D Segmentations, | ||
- | ==== Open File Location | + | === Open File Location === |
Open the target directory to verify the results. | Open the target directory to verify the results. | ||
+ | |||
+ | === 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 | ||
Last modified:: 2022/06/22 13:47