1 instantiation of DnnImageFeaturizerEstimator
Microsoft.ML.OnnxTransformer (1)
OnnxCatalog.cs (1)
497=> new DnnImageFeaturizerEstimator(CatalogUtils.GetEnvironment(catalog), outputColumnName, modelFactory, inputColumnName);
9 references to DnnImageFeaturizerEstimator
Microsoft.ML.DnnImageFeaturizer.AlexNet (1)
AlexNetExtension.cs (1)
15/// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained AlexNet model.
Microsoft.ML.DnnImageFeaturizer.ResNet101 (1)
ResNet101Extension.cs (1)
15/// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet101 model.
Microsoft.ML.DnnImageFeaturizer.ResNet18 (1)
ResNet18Extension.cs (1)
15/// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet18 model.
Microsoft.ML.DnnImageFeaturizer.ResNet50 (1)
ResNet50Extension.cs (1)
15/// This is an extension method to be used with the <see cref="DnnImageFeaturizerEstimator"/> in order to use a pretrained ResNet50 model.
Microsoft.ML.OnnxTransformer (3)
DnnImageFeaturizerTransform.cs (1)
16/// Helper class for selecting a pre-trained DNN image featurization model to use in the <see cref="DnnImageFeaturizerEstimator"/>.
OnnxCatalog.cs (2)
476/// Create <see cref="DnnImageFeaturizerEstimator"/>, which applies one of the pre-trained DNN models in 493public static DnnImageFeaturizerEstimator DnnFeaturizeImage(this TransformsCatalog catalog,
Microsoft.ML.OnnxTransformerTest (2)
DnnImageFeaturizerTest.cs (2)
78var pipe = ML.Transforms.DnnFeaturizeImage("output_1", m => m.ModelSelector.ResNet18(m.Environment, m.OutputColumn, m.InputColumn), "data_0"); 153var est = ML.Transforms.DnnFeaturizeImage(outputNames, m => m.ModelSelector.ResNet18(m.Environment, m.OutputColumn, m.InputColumn), inputNames);