ResNet50Extension.ResNet50 Method

Definition

Namespace:

Microsoft.ML

Assembly:

Microsoft.ML.DnnImageFeaturizer.ResNet50.dll

Package:

Microsoft.ML.DnnImageFeaturizer.ResNet50 v0.21.1

Overloads

ResNet50(DnnImageModelSelector, IHostEnvironment, String, String)

Returns an estimator chain with the two corresponding models (a preprocessing one and a main one) required for the ResNet pipeline. Also includes the renaming ColumnsCopyingTransforms required to be able to use arbitrary input and output column names. This assumes both of the models are in the same location as the file containing this method, which they will be if used through the NuGet. This should be the default way to use ResNet50 if importing the model from a NuGet.

ResNet50(DnnImageModelSelector, IHostEnvironment, String, String, String)

This allows a custom model location to be specified. This is useful is a custom model is specified, or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because Onnx models must be in a directory all by themselves for the OnnxTransformer to work, this method appends a ResNet50Onnx/ResNetPrepOnnx subdirectory to the passed in directory to prevent having to make that directory manually each time.

ResNet50(DnnImageModelSelector, IHostEnvironment, String, String)

Returns an estimator chain with the two corresponding models (a preprocessing one and a main one) required for the ResNet pipeline. Also includes the renaming ColumnsCopyingTransforms required to be able to use arbitrary input and output column names. This assumes both of the models are in the same location as the file containing this method, which they will be if used through the NuGet. This should be the default way to use ResNet50 if importing the model from a NuGet.

public static Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer> ResNet50 (this Microsoft.ML.Transforms.Onnx.DnnImageModelSelector dnnModelContext, Microsoft.ML.Runtime.IHostEnvironment env, string outputColumnName, string inputColumnName);

static member ResNet50 : Microsoft.ML.Transforms.Onnx.DnnImageModelSelector * Microsoft.ML.Runtime.IHostEnvironment * string * string -> Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>

<Extension()>
Public Function ResNet50 (dnnModelContext As DnnImageModelSelector, env As IHostEnvironment, outputColumnName As String, inputColumnName As String) As EstimatorChain(Of ColumnCopyingTransformer)

Parameters

dnnModelContext

DnnImageModelSelector

env

IHostEnvironment

outputColumnName

String

inputColumnName

String

Returns

EstimatorChain<ColumnCopyingTransformer>

ResNet50(DnnImageModelSelector, IHostEnvironment, String, String, String)

This allows a custom model location to be specified. This is useful is a custom model is specified, or if the model is desired to be placed or shipped separately in a different folder from the main application. Note that because Onnx models must be in a directory all by themselves for the OnnxTransformer to work, this method appends a ResNet50Onnx/ResNetPrepOnnx subdirectory to the passed in directory to prevent having to make that directory manually each time.

public static Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer> ResNet50 (this Microsoft.ML.Transforms.Onnx.DnnImageModelSelector dnnModelContext, Microsoft.ML.Runtime.IHostEnvironment env, string outputColumnName, string inputColumnName, string modelDir);

static member ResNet50 : Microsoft.ML.Transforms.Onnx.DnnImageModelSelector * Microsoft.ML.Runtime.IHostEnvironment * string * string * string -> Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>

<Extension()>
Public Function ResNet50 (dnnModelContext As DnnImageModelSelector, env As IHostEnvironment, outputColumnName As String, inputColumnName As String, modelDir As String) As EstimatorChain(Of ColumnCopyingTransformer)

Parameters

dnnModelContext

DnnImageModelSelector

env

IHostEnvironment

outputColumnName

String

inputColumnName

String

modelDir

String

Returns

EstimatorChain<ColumnCopyingTransformer>