| File: SweepableEstimator\Estimators\ObjectDetection.cs | Web Access |
| Project: src\src\Microsoft.ML.AutoML\Microsoft.ML.AutoML.csproj (Microsoft.ML.AutoML) |
// Licensed to the .NET Foundation under one or more agreements. // The .NET Foundation licenses this file to you under the MIT license. // See the LICENSE file in the project root for more information. using System; using System.Collections.Generic; using System.Text; using Microsoft.ML.TorchSharp; using Microsoft.ML.TorchSharp.AutoFormerV2; namespace Microsoft.ML.AutoML.CodeGen { internal partial class ObjectDetectionMulti { public override IEstimator<ITransformer> BuildFromOption(MLContext context, ObjectDetectionOption param) { var option = new ObjectDetectionTrainer.Options { LabelColumnName = param.LabelColumnName, PredictedLabelColumnName = param.PredictedLabelColumnName, BoundingBoxColumnName = param.BoundingBoxColumnName, ImageColumnName = param.ImageColumnName, ScoreColumnName = param.ScoreColumnName, MaxEpoch = param.MaxEpoch, InitLearningRate = param.InitLearningRate, WeightDecay = param.WeightDecay, PredictedBoundingBoxColumnName = param.PredictedBoundingBoxColumnName, ScoreThreshold = param.ScoreThreshold, IOUThreshold = param.IOUThreshold, }; return context.MulticlassClassification.Trainers.ObjectDetection(option); } } }