TorchSharpCatalog.EvaluateObjectDetection Methode

Referenz

Definition

Namespace:: Microsoft.ML.TorchSharp

Assembly:: Microsoft.ML.TorchSharp.dll

Paket:: Microsoft.ML.TorchSharp v0.22.1

Paket:: Microsoft.ML.TorchSharp v0.22.0

Paket:: Microsoft.ML.TorchSharp v0.23.0-preview.1.25125.4

Quelle:: TorchSharpCatalog.cs

Quelle:: TorchSharpCatalog.cs

Quelle:: TorchSharpCatalog.cs

Wichtig

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Wertet bewertete Objekterkennungsdaten aus.

public static Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionMetrics EvaluateObjectDetection(this Microsoft.ML.MulticlassClassificationCatalog catalog, Microsoft.ML.IDataView data, Microsoft.ML.DataViewSchema.Column labelCol, Microsoft.ML.DataViewSchema.Column actualBoundingBoxColumn, Microsoft.ML.DataViewSchema.Column predictedLabelCol, Microsoft.ML.DataViewSchema.Column predictedBoundingBoxColumn, Microsoft.ML.DataViewSchema.Column scoreCol);

static member EvaluateObjectDetection : Microsoft.ML.MulticlassClassificationCatalog * Microsoft.ML.IDataView * Microsoft.ML.DataViewSchema.Column * Microsoft.ML.DataViewSchema.Column * Microsoft.ML.DataViewSchema.Column * Microsoft.ML.DataViewSchema.Column * Microsoft.ML.DataViewSchema.Column -> Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionMetrics

<Extension()>
Public Function EvaluateObjectDetection (catalog As MulticlassClassificationCatalog, data As IDataView, labelCol As DataViewSchema.Column, actualBoundingBoxColumn As DataViewSchema.Column, predictedLabelCol As DataViewSchema.Column, predictedBoundingBoxColumn As DataViewSchema.Column, scoreCol As DataViewSchema.Column) As ObjectDetectionMetrics