FeatureCountToROI Task

This task creates point regions of interest (ROIs) from a saved feature count file (.efc).

Example

Sample data files are available on our ENVI Tutorials web page. Click the Deep Learning link to download the .zip file to your machine, then unzip the files. containing the feature counting data. The files you will use in this example are located in the shipping_containers folder of the download. Update the file references in the example with the correct locations.

; Start the application

e = ENVI()

; Open a feature count file

; Update the following line with the correct path

; to the tutorial data files

File = 'C:\MyTutorialFiles\FeatureCountContainers.efc'

; Open an orthophoto of seaport

OrthoFile = 'C:\MyTutorialFiles\OaklandPortOrthophoto1.dat'

Raster = e.OpenRaster(OrthoFile)

; Get the task from the catalog of ENVITasks

Task = ENVITask('FeatureCountToROI')

; Define inputs

Task.INPUT_FEATURE_COUNT_URI = File

; Run the task

Task.Execute

; Display the resulting ROI over the orthophoto

View = e.GetView()

Layer = View.CreateLayer(Raster)

roiLayer = Layer.AddROI(Task.OUTPUT_ROI)

View.Zoom, 3.0

Syntax

Result = ENVITask('FeatureCountToROI')

Input parameters (Set, Get): INPUT_FEATURE_COUNT_URI, OUTPUT_ROI_URI

Output parameters (Get only): OUTPUT_ROI

Parameters marked as "Set" are those that you can set to specific values. You can also retrieve their current values any time. Parameters marked as "Get" are those whose values you can retrieve but not set.