TorchSharpCatalog.EvaluateObjectDetection Method
Definition
Important
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Evaluates scored object detection data.
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
Parameters
- catalog
- MulticlassClassificationCatalog
The transform's catalog.
- data
- IDataView
IDataView with the data
- labelCol
- DataViewSchema.Column
Column that has the actual labels.
- actualBoundingBoxColumn
- DataViewSchema.Column
Column that has the actual bounding boxes.
- predictedLabelCol
- DataViewSchema.Column
Column that has the predicted labels.
- predictedBoundingBoxColumn
- DataViewSchema.Column
Column that has the predicted bounding boxes.
- scoreCol
- DataViewSchema.Column
Column that has the predicted score (confidence level).