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dev:desktop:preferences:detectors [2019/02/05 09:52]
natalia.zheltukhina@orbitgt.com created 		dev:desktop:preferences:detectors [2023/05/31 10:40] (current)
jeroen
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-====== Preferences of Detectors ===== +===== Preferences for Detectors ======
-This page describes preferences available for Detectors.\\+
  
-{{orbit_desktop:entrance_icon_2.png?nolink&25 |}} [[dev:desktop:workspace:main_toolbar|Main Toolbar]] > [[dev:desktop:preferences:index|Preferences]] > Detectors+This page documents generic concepts about Point Cloud Detectors. 
  
-{{:dev:desktop:preferences_detectors_1920.png|}}+Use the tooltip on the parameters to know more about the use and impact of the parameter. \\ 
 +For additional documentation on adjusting parameters, see [[dev:desktop:preferences:detectors_usecases|]].
  
 ===== Concepts ===== ===== Concepts =====
 +
 Detectors: semi-automated and fully automated measurements. Preferences of Detectors define set of user parameters which can be changed depending on quality of input data and requirements for the output.\\ Detectors: semi-automated and fully automated measurements. Preferences of Detectors define set of user parameters which can be changed depending on quality of input data and requirements for the output.\\
 For semi-automated measurements changing of the parameters is applied immediately while for fully automated detectors values from Preferences are read only on new feature extraction Project creation. For semi-automated measurements changing of the parameters is applied immediately while for fully automated detectors values from Preferences are read only on new feature extraction Project creation.
  
-===== Options ===== +===== Preset, Save and Share ===== 
-**Chose detector**\\ + 
-Select required detector from drop-down list. \\+  * Reset parameters back to default. 
 +  * Save the parameters of the selected detector into an *.xml file. 
 +  * Open to load an existing *.xml containing preferences for the selected Detector.  
 + 
 +===== Algorithm ===== 
 + 
 +These parameters impact how detection algorithms work. 
 + 
 +=== Classified point cloud === 
 + 
 +Restrict or filter specified point cloud classes to be used for feature detection.  
 +  * Integer values, comma separated. 
 +  * If no class is specified all classes are used, no class is excluded. 
 + 
 +===== Output ===== 
 + 
 +These parameters impact only the final presentation of detected results. 
 + 
 +=== Smoothing ===
  
-**Reset**\\ +A moving average algorithm can be used to smooth line features. The average of the 4 neighboring points and the current position are used to calculate an updated position of a point or vertex. We allow 6 levels of smoothing, which corresponds to how many times the moving average is used. Level 0 means no smoothing is done, level 5 means the line points are moved 5 times.
-Reset parameters back to default.\\+
  
-**Save..**\\ +=== Get Point Cloud ===
-Save the parameters of the selected detector into an *.xml file.\\+
  
-**Open..**\\ +Export the feature point cloud as a selection linked to the source point cloud resource file, or as a new point cloud resource file.
-Load an existing *.xml containing preferences for the selected Detector.\\+
  
-===== Parameters ===== +Significant time is required to create point cloud selection. Point cloud file and derived vector data creation (e.g. outline on ground) is only possible if selection is created. 
-Detailed description of the detector's parameters can be found: +
-  * Cable Detection +
-  * Fence Detection +
-  * [[dev:desktop_ext:automated_extraction_poles|]] +
-  * Rail Detection +
-  * Ridge Detection +
-  * Road Mark Detection +
-  * Separation Line Detection +
-  * Traffic Sign Detection+
 
Last modified:: 2019/02/05 09:52