TorchSharpCatalog.EvaluateObjectDetection Metode

Definisi

Ruang nama:: Microsoft.ML.TorchSharp

Rakitan:: 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

Sumber:: TorchSharpCatalog.cs

Sumber:: TorchSharpCatalog.cs

Sumber:: TorchSharpCatalog.cs

Penting

Beberapa informasi terkait produk prarilis yang dapat diubah secara signifikan sebelum dirilis. Microsoft tidak memberikan jaminan, tersirat maupun tersurat, sehubungan dengan informasi yang diberikan di sini.

Mengevaluasi data deteksi objek yang dinilai.

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