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soplarpet:opcua_methods [2024/11/14 10:07]
superuser 		soplarpet:opcua_methods [2024/12/20 13:03] (current)
superuser
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 ===== ListCameras ===== ===== ListCameras =====
-Returns ​a list of loaded camera configurations+Returns ​an array of loaded camera configurations 
 + 
 +**Note:** both arrays will contain the same list since the camera names feature was canceled.
  
-*Note:* both arrays wil contain the same list. since camera names feature was canceled 
 **Input Arguments** **Input Arguments**
   * None   * None
  
 **Output Arguments** **Output Arguments**
-  * cameraIds (IList<string>) - A list of camera IDs +  * cameraIds (string[]) - An array of camera IDs 
-  * cameraNames (IList<string>) - A list of camera names+  * cameraNames (string[]) - An array of camera names
  
 ===== LearnNewObject ===== ===== LearnNewObject =====
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 **Input Arguments** **Input Arguments**
   * image (byte[]) - The image data containing the new object   * image (byte[]) - The image data containing the new object
-  * roiCoordinates (IList<int>) - The region of interest coordinates +  * roiCoordinates (int[]) - The region of interest coordinates ​in px, specified in format [X1,​Y1,​X2,​Y2] 
-  * upperBorder (int) - The upper border value of search area +  * upperBorder (int) - The upper border value of search area in px. 
-  * lowerBorder (int) - The lower border value of search area+  * lowerBorder (int) - The lower border value of search area in px.
  
 **Output Arguments** **Output Arguments**
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 ===== LearnNewObjectPerCamera ===== ===== LearnNewObjectPerCamera =====
-Learns new pattern for specified camera. Also allows ​to set offset that adds to x coordinate of detected pattern+Learns new pattern for a specified camera. Also allows ​setting an offset that adds to the x-coordinate of the detected pattern.
  
 **Input Arguments** **Input Arguments**
   * imageWithNewObject (byte[]) - The image data containing the new object   * imageWithNewObject (byte[]) - The image data containing the new object
-  * regionOfInterest (int[]) - The region of interest coordinates+  * regionOfInterest (int[]) - The region of interest coordinates ​in px, specified in format [X1,​Y1,​X2,​Y2]
   * upperBorderLineYPos (int) - The upper border value of search area   * upperBorderLineYPos (int) - The upper border value of search area
   * lowerBorderLineYPos (int) - The lower border value of search area   * lowerBorderLineYPos (int) - The lower border value of search area
-  * offset (int) - The offset value+  * offset (int) - The offset value in px. When pattern is detected, it's center X coordinate will be returned as a result. Offset allows to shift this coordinates. If pattern is detected between X10 and X20 and offset is -2 then result would be X13(X15-2)
   * camera (int) - The camera identifier   * camera (int) - The camera identifier
  
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 ===== ReadCameraParameters ===== ===== ReadCameraParameters =====
-Returs ​parameter names for specified camera+Returns ​parameter names for a specified camera
  
 **Input Arguments** **Input Arguments**
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 **Output Arguments** **Output Arguments**
-  * parameterNames (IList<string>) - A list of parameter names +  * parameterNames (string[]) - An array of parameter names 
-  * parameterValues (IList<string>) - A list of parameter values+  * parameterValues (string[]) - An array of parameter values
  
 ===== WriteCameraParameters ===== ===== WriteCameraParameters =====
-Sets parameters for specified camera+Sets parameters for a specified camera
  
 **Input Arguments** **Input Arguments**
   * cameraIdOrName (string) - The camera ID or name   * cameraIdOrName (string) - The camera ID or name
-  * parameterNames (IList<object>) - A list of parameter names +  * parameterNames (object[]) - An array of parameter names 
-  * parameterValues (IList<object>) - A list of parameter values+  * parameterValues (object[]) - An array of parameter values
  
 **Output Arguments** **Output Arguments**
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 ===== GetMarkerParametersPerCamera ===== ===== GetMarkerParametersPerCamera =====
-Returns serialized parameters of learned marker for later use+Returns serialized parameters of the learned marker for later use
  
 **Input Arguments** **Input Arguments**
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 ===== GetImageById ===== ===== GetImageById =====
-Returns an image that was made by camera for specified trigger ​id+Returns an image that was made by a camera for the specified trigger ​ID
  
 **Input Arguments** **Input Arguments**
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 ===== GetMinimalRecognitionAccuracy ===== ===== GetMinimalRecognitionAccuracy =====
-Returns minimal recognition accuracy for marker to be accepted as valid+Returns ​the minimal recognition accuracy for a marker to be accepted as valid
  
 **Input Arguments** **Input Arguments**
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 **Output Arguments** **Output Arguments**
-  * accuracy (int) - The minimal recognition accuracy+  * accuracy (int) - The minimal recognition accuracy ​in %
  
 ===== SetMinimalRecognitionAccuracy ===== ===== SetMinimalRecognitionAccuracy =====
-Sets minimal recognition accuracy for marker to be accepted as valid+Sets the minimal recognition accuracy for a marker to be accepted as valid
  
 **Input Arguments** **Input Arguments**
-  * accuracy (int) - The minimal recognition accuracy+  * accuracy (int) - The minimal recognition accuracy ​in %
  
 **Output Arguments** **Output Arguments**
   * None   * None
  
 +===== GetErrorTable=====
 +Sets the minimal recognition accuracy for a marker to be accepted as valid
  
 +**Input Arguments**
 +  * None
  
 +**Output Arguments**
 +  * result (string) - json serialized error table
 +
 +Detailed output specified [[soplarpet:​error_table|here]]
 +
 +===== Restart =====
 +Restarts the application
 +
 +**Input Arguments**
 +  * None
 +
 +**Output Arguments**
 +  * None
 +
 +===== ShutdownComputer =====
 +Shuts down the computer
 +
 +**Input Arguments**
 +  * None
 +
 +**Output Arguments**
 +  * None
 +
 +===== RestartComputer =====
 +Restarts the computer
 +
 +**Input Arguments**
 +  * None
 +
 +**Output Arguments**
 +  * None
  • soplarpet/opcua_methods.1731578875.txt.gz
  • Last modified: 2024/11/14 10:07
  • by superuser