| |
|
Bounding Boxes Background
| |
|
BuildDeepLearningRaster Task
| Builds a raster that can be used for deep learning purposes, such as classification. |
|
BuildLabelRasterFromClassification Task
| Creates a label raster from an input raster and binary classification raster, which can be used to train a model. |
|
BuildLabelRasterFromROI Task
| Creates a label raster from an input raster and regions of interest (ROIs) that correspond to a specific feature. |
|
BuildObjectDetectionRasterFromAnnotation Task
| Builds an object detection raster from an input raster and an annotation file indicating features of interest. |
|
BuildObjectDetectionRasterFromROI Task
| Builds an object detection dataset from an input raster and an ROI file indicating features of interest. |
|
BuildObjectDetectionRasterFromVector Task
| Builds an object detection raster from an input raster and a vector file indicating features of interest. |
|
BuildObjectDetectionRastersFromCOCO Task
| Generate object detection rasters using a JSON dataset containing COCO (Common Objects in Context) formatted annotations. |
|
ClassActivationToClassification Task
| Creates a classification raster from a class activation raster generated by a deep learning model. |
|
ClassActivationToPixelROI Task
| Creates pixel regions of interest (ROIs) from a class activation raster generated by a deep learning model. |
|
ClassActivationToPolygonROI Task
| Creates polygon regions of interest (ROIs) from a class activation raster generated by a deep learning model. |
|
ClassActivationToPolygonShapefile Task
| Converts a class activation raster to a polygon shapefiles. |
|
ClassActivationToPolylineShapefile Task
| This task creates a polyline shapefile from a single-band class activation raster generated by a deep learning model. |
|
ConfigureOnnxModel Task
| Configure Deep Learning ONNX models for use in ENVI. |
|
Deep Learning Routines and Tasks
| |
|
DeepLearningGridClassification Task
| Classify a raster using a trained grid model. |
|
DeepLearningObjectClassification Task
| Classify a raster using a trained object detection model. |
|
DeepLearningOptimizedObjectClassification Task
| Uses a trained object detection model to perform inference on a raster in regions that contain features of interest as identified by a trained grid model. |
|
DeepLearningOptimizedPixelClassification Task
| Uses a trained Deep Learning pixel segmentation model to perform inference on a raster in regions that contain features of interest identified by a trained grid model. |
|
DeepLearningPixelClassification Task
| Classify a raster using a trained pixel segmentation model. |
|
ENVI Routines for Deep Learning
| |
|
ENVIBoundingBoxSet
| Returns a reference to a bounding box set, used to label features of interest in object detection. |
|
ENVIBoundingBoxSet::AddBoundingBox
| Adds a bounding box to an ENVIBoundingBoxSet. |
|
ENVIBoundingBoxSet::AddClass
| Adds a new class to an ENVIBoundingBoxSet. |
|
ENVIBoundingBoxSet::GetBoundingBox
| Returns bounding box coordinates for a specified class. |