TorchSharpCatalog.EvaluateObjectDetection 方法

定义

评估已评分的对象检测数据。

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

参数

catalog
MulticlassClassificationCatalog

转换的目录。

data
IDataView

包含数据的 IDataView

labelCol
DataViewSchema.Column

具有实际标签的列。

actualBoundingBoxColumn
DataViewSchema.Column

具有实际边界框的列。

predictedLabelCol
DataViewSchema.Column

具有预测标签的列。

predictedBoundingBoxColumn
DataViewSchema.Column

具有预测边界框的列。

scoreCol
DataViewSchema.Column

具有预测分数 (置信度) 的列。

返回

适用于