This task builds an object detection dataset from an input raster and an ROI file indicating features of interest.
This task is part of ENVI Deep Learning, which requires a separate license and installation.
Example
Sample data files are available on our ENVI Tutorials web page. Click the "Deep Learning" link in the ENVI Tutorial Data section to download a .zip file containing the data. Extract the contents of the .zip file to a local directory. Files are located in the object_detection folder.
e = ENVI()
File = 'C:\MyTutorialFiles\DRCOG_AerialImage1.dat'
Raster = e.OpenRaster(File)
ROIFile = 'C:\MyTutorialFiles\Handicap_Parking_Spots_ROIs1.xml'
ROI = e.OpenROI(ROIFile)
Task = ENVITask('BuildObjectDetectionRasterFromROI')
Task.INPUT_RASTER = Raster
Task.INPUT_ROI = ROI
Task.Execute
e.Data.Add, Task.OUTPUT_RASTER
View = e.GetView()
Layer = View.CreateLayer(Task.OUTPUT_RASTER)
Syntax
Result = ENVITask('BuildObjectDetectionRasterFromROI')
Input properties (Set, Get): INPUT_RASTER, INPUT_ROI, OUTPUT_RASTER_URI
Output properties (Get only): OUTPUT_RASTER
Properties marked as "Set" are those that you can set to specific values. You can also retrieve their current values any time. Properties marked as "Get" are those whose values you can retrieve but not set.
Methods
This task inherits the following methods from ENVITask. See the ENVITask topic in ENVI Help.
- AddParameter
- Execute
- Parameter
- ParameterNames
- RemoveParameters
Properties
This task inherits the following properties from ENVITask:
COMMUTE_ON_DOWNSAMPLE
COMMUTE_ON_SUBSET
DESCRIPTION
DISPLAY_NAME
NAME
REVISION
See the ENVITask topic in ENVI Help for details.
This task also contains the following properties:
INPUT_RASTER (required)
Specify the input raster to use for label data.
INPUT_ROI (required)
Specify a polygon ROI that indicates the labeled pixels for the desired class in the input raster. Point and polyline ROIs are not supported.
OUTPUT_RASTER
This is a reference to the output raster of filetype ENVI.
If INPUT_RASTER is not byte data then each band will be byte stretched to its minimum and maximum.
OUTPUT_RASTER_URI (optional)
Specify a string with the fully qualified filename and path of the associated OUTPUT_RASTER. If you do not specify this property, or set it to an exclamation symbol (!), a temporary file will be created.
Version History
See Also
BuildObjectDetectionRasterFromAnnotation Task, BuildObjectDetectionRasterFromVector Task, TrainTensorFlowObjectModel Task, TensorFlowObjectClassification Task