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Update OnnxTransformer Doc XML #5085

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Merged
merged 2 commits into from
May 13, 2020
Merged

Update OnnxTransformer Doc XML #5085

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eac967b
Initial update to xml doc
jwood803 May 3, 2020
8a41136
Additional update
jwood803 May 3, 2020
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26 changes: 13 additions & 13 deletions src/Microsoft.ML.OnnxTransformer/doc.xml
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Original file line number Diff line number Diff line change
Expand Up @@ -45,22 +45,22 @@
var imageWidth = 224;
var dataFile = GetDataPath("images/images.tsv");
var imageFolder = Path.GetDirectoryName(dataFile);

var mlContext = new MLContext();

var data = TextLoader.CreateLoader(env, ctx => (
imagePath: ctx.LoadText(0),
name: ctx.LoadText(1)))
.Read(new MultiFileSource(dataFile));
var data = mlContext.Data.LoadFromTextFile<ImageData>, <ImagePrediction>(dataFile);

var pipe = data.MakeNewEstimator()
.Append(row => (
row.name,
data_0: row.imagePath.LoadAsImage(imageFolder).Resize(imageHeight, imageWidth).ExtractPixels(interleaveArgb: true)))
.Append(row => (row.name, softmaxout_1: row.data_0.ApplyOnnxModel(modelFile)));
var pipe = mlContext.Transforms.LoadImages("data_0", imageFolder: "images", inputColumnName: nameof(ImageData.ImagePath))
.Append(mlContext.Transforms.ResizeImages("data_0", imageWidth, imageHeight, inputColumnName: "data_0")
.Append(mlContext.Transforms.ExtractPixels("data_0", interleavePixelColors: true))
.Append(mlContext.Transforms.ApplyOnnxModel(modelFile));

TestEstimatorCore(pipe.AsDynamic, data.AsDynamic);
TestEstimatorCore(pipe, data);

var result = pipe.Fit(data).Transform(data);

var output = result.Schema.GetColumnOrNull("softmaxout_1");

var result = pipe.Fit(data).Transform(data).AsDynamic;
result.Schema.TryGetColumnIndex("softmaxout_1", out int output);
using (var cursor = result.GetRowCursor(col => col == output))
{
var buffer = default(VBuffer<float>);
Expand All @@ -71,7 +71,7 @@
getter(ref buffer);
numRows += 1;
}
System.Console.Writeline("Number of rows scored=" + numRows);
System.Console.Writeline("Number of rows scored = " + numRows);
}
</code>
</example>
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