Display Name: DetectObjectsUsingDeepLearning

Description: In a raster analysis deployment, this tool runs a trained deep learning model on an input raster to produce a feature class containing the objects it identifies. The feature class can be shared as a hosted feature layer in your portal. The features can be bounding boxes or polygons around the objects found, or points at the centers of the objects.

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Help URL: https://terra.library.brocku.ca/arcgis/rest/directories/arcgisoutput/System/RasterAnalysisTools_GPServer/System_RasterAnalysisTools/DetectObjectsUsingDeepLearning.htm

Execution Type: esriExecutionTypeAsynchronous

Parameters:

Parameter: inputRaster

Data Type: GPString
Display Name inputRaster
Description: The input image used to detect objects. It can be an image service URL, a raster layer, an image service, a map server layer, or an internet tiled layer.
Direction: esriGPParameterDirectionInput
Filter:
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Default Value:
Parameter Type: esriGPParameterTypeRequired
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Parameter: outputObjects

Data Type: GPString
Display Name outputObjects
Description:
Direction: esriGPParameterDirectionInput
Filter:
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeRequired
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Parameter: model

Data Type: GPString
Display Name model
Description:
Direction: esriGPParameterDirectionInput
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Default Value:
Parameter Type: esriGPParameterTypeRequired
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Parameter: modelArguments

Data Type: GPString
Display Name modelArguments
Description: The function model arguments are defined in the Python raster function class referenced by the input model. This is where you list additional deep learning parameters and arguments for experiments and refinement, such as a confidence threshold for fine tuning the sensitivity. The names of the arguments are populated by the tool from reading the Python module on the RA server.
Direction: esriGPParameterDirectionInput
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Default Value:
Parameter Type: esriGPParameterTypeOptional
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Parameter: runNMS

Data Type: GPBoolean
Display Name runNMS
Description: Specifies whether non maximum suppression, where duplicate objects are identified and the duplicate feature with a lower confidence value is removed, will be performed. Unchecked—All detected objects will be in the output feature class. This is the default. Checked— Duplicate detected objects will be removed.
Direction: esriGPParameterDirectionInput
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Default Value: false
Parameter Type: esriGPParameterTypeOptional
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Parameter: confidenceScoreField

Data Type: GPString
Display Name confidenceScoreField
Description: The field in the feature service that contains the confidence scores that will be used as output by the object detection method.This parameter is required when the Non Maximum Suppression parameter is checked.
Direction: esriGPParameterDirectionInput
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Default Value:
Parameter Type: esriGPParameterTypeOptional
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Parameter: classValueField

Data Type: GPString
Display Name classValueField
Description: The name of the class value field in the feature service. If a field name is not specified, the tool will attempt to use a Classvalue or Value field. If these fields do not exist, the tool will identify all records as belonging to one class.
Direction: esriGPParameterDirectionInput
Filter:
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Default Value:
Parameter Type: esriGPParameterTypeOptional
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Parameter: maxOverlapRatio

Data Type: GPDouble
Display Name maxOverlapRatio
Description: The maximum overlap ratio for two overlapping features, which is defined as the ratio of intersection area over union area. The default is 0.
Direction: esriGPParameterDirectionInput
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Default Value:
Parameter Type: esriGPParameterTypeOptional
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Parameter: processAllRasterItems

Data Type: GPBoolean
Display Name processAllRasterItems
Description:
Direction: esriGPParameterDirectionInput
Filter:
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Default Value: false
Parameter Type: esriGPParameterTypeOptional
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Parameter: context

Data Type: GPString
Display Name context
Description:
Direction: esriGPParameterDirectionInput
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Default Value:
Parameter Type: esriGPParameterTypeOptional
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Parameter: outObjects

Data Type: GPFeatureRecordSetLayer
Display Name outObjects
Description:
Direction: esriGPParameterDirectionOutput
Filter:
Dependency:
Default Value:
Geometry Type:
HasZ: false
HasM: false
Spatial Reference: N/A
Fields: None

Features: None.



Parameter Type: esriGPParameterTypeDerived
Category:

Supported Operations:   Submit Job

Child Resources:   Metadata