TorchSharpCatalog.ObjectDetection 方法

定義

命名空間:

Microsoft.ML.TorchSharp

組件:

Microsoft.ML.TorchSharp.dll

套件:

Microsoft.ML.TorchSharp v0.21.1

多載

ObjectDetection(MulticlassClassificationCatalog+MulticlassClassificationTrainers, ObjectDetectionTrainer+Options)	微調物件偵測模型。
ObjectDetection(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, String, String, String, Int32)	微調物件偵測模型。

ObjectDetection(MulticlassClassificationCatalog+MulticlassClassificationTrainers, ObjectDetectionTrainer+Options)

微調物件偵測模型。

public static Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer ObjectDetection (this Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer.Options options);

static member ObjectDetection : Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers * Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer.Options -> Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer

<Extension()>
Public Function ObjectDetection (catalog As MulticlassClassificationCatalog.MulticlassClassificationTrainers, options As ObjectDetectionTrainer.Options) As ObjectDetectionTrainer

參數

catalog

MulticlassClassificationCatalog.MulticlassClassificationTrainers

轉換的目錄。

options

ObjectDetectionTrainer.Options

一組完整的進階選項。

傳回

ObjectDetectionTrainer

ObjectDetection(MulticlassClassificationCatalog+MulticlassClassificationTrainers, String, String, String, String, String, String, Int32)

微調物件偵測模型。

public static Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer ObjectDetection (this Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, string labelColumnName = "Label", string predictedLabelColumnName = "PredictedLabel", string scoreColumnName = "Score", string boundingBoxColumnName = "BoundingBoxes", string predictedBoundingBoxColumnName = "PredictedBoundingBoxes", string imageColumnName = "Image", int maxEpoch = 10);

static member ObjectDetection : Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers * string * string * string * string * string * string * int -> Microsoft.ML.TorchSharp.AutoFormerV2.ObjectDetectionTrainer

<Extension()>
Public Function ObjectDetection (catalog As MulticlassClassificationCatalog.MulticlassClassificationTrainers, Optional labelColumnName As String = "Label", Optional predictedLabelColumnName As String = "PredictedLabel", Optional scoreColumnName As String = "Score", Optional boundingBoxColumnName As String = "BoundingBoxes", Optional predictedBoundingBoxColumnName As String = "PredictedBoundingBoxes", Optional imageColumnName As String = "Image", Optional maxEpoch As Integer = 10) As ObjectDetectionTrainer

參數

catalog

MulticlassClassificationCatalog.MulticlassClassificationTrainers

轉換的目錄。

labelColumnName

String

標籤資料列名稱。 應該是keytype的向量

predictedLabelColumnName

String

輸出預測標籤數據行名稱。 這是keytype的向量

scoreColumnName

String

輸出分數數據行名稱。 這是 float 的向量。

boundingBoxColumnName

String

周框方塊數據行名稱。 這是 float 的向量。 值的順序應該是 x0 y0 x1 y1。

predictedBoundingBoxColumnName

String

輸出周框方塊數據行名稱。 這是 float 的向量。 值的順序應該是 x0 y0 x1 y1。

imageColumnName

String

保存影像數據的數據行名稱。 這是 MLImage

maxEpoch

Int32

要執行的 Epoch 數目。

傳回

ObjectDetectionTrainer