public void TestBackAndForthConversionWithoutAlphaNoInterleaveNoOffset()
{
IHostEnvironment env = new MLContext();
const int imageHeight = 100;
const int imageWidth = 130;
var dataFile = GetDataPath("images/images.tsv");
var imageFolder = Path.GetDirectoryName(dataFile);
var data = TextLoader.Create(env, new TextLoader.Options()
{
Columns = new[]
{
new TextLoader.Column("ImagePath", DataKind.String, 0),
new TextLoader.Column("Name", DataKind.String, 1),
}
}, new MultiFileSource(dataFile));
var images = new ImageLoadingTransformer(env, imageFolder, ("ImageReal", "ImagePath")).Transform(data);
var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images);
var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped").Transform(cropped);
IDataView backToBitmaps = new VectorToImageConvertingTransformer(env, "ImageRestored", imageHeight, imageWidth, "ImagePixels").Transform(pixels);
var fname = nameof(TestBackAndForthConversionWithoutAlphaNoInterleaveNoOffset) + "_model.zip";
var fh = env.CreateOutputFile(fname);
using (var ch = env.Start("save"))
TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToBitmaps));
backToBitmaps = ModelFileUtils.LoadPipeline(env, fh.OpenReadStream(), new MultiFileSource(dataFile));
DeleteOutputPath(fname);
backToBitmaps.Schema.TryGetColumnIndex("ImageRestored", out int bitmapColumn);
backToBitmaps.Schema.TryGetColumnIndex("ImageCropped", out int cropBitmapColumn);
using (var cursor = backToBitmaps.GetRowCursorForAllColumns())
{
var bitmapGetter = cursor.GetGetter <Bitmap>(bitmapColumn);
Bitmap restoredBitmap = default;
var bitmapCropGetter = cursor.GetGetter <Bitmap>(cropBitmapColumn);
Bitmap croppedBitmap = default;
while (cursor.MoveNext())
{
bitmapGetter(ref restoredBitmap);
Assert.NotNull(restoredBitmap);
bitmapCropGetter(ref croppedBitmap);
Assert.NotNull(croppedBitmap);
for (int x = 0; x < imageWidth; x++)
{
for (int y = 0; y < imageHeight; y++)
{
var c = croppedBitmap.GetPixel(x, y);
var r = restoredBitmap.GetPixel(x, y);
Assert.True(c.R == r.R && c.G == r.G && c.B == r.B);
}
}
}
Done();
}
}
public static CommonOutputs.TransformOutput VectorToImage(IHostEnvironment env, VectorToImageConvertingTransformer.Options input)
{
var h = EntryPointUtils.CheckArgsAndCreateHost(env, "VectorToImageTransform", input);
var xf = VectorToImageConvertingTransformer.Create(h, input, input.Data);
return(new CommonOutputs.TransformOutput()
{
Model = new TransformModelImpl(h, xf, input.Data),
OutputData = xf
});
}
public void TestBackAndForthConversionWithDifferentOrder()
{
if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX))
{
return;
}
IHostEnvironment env = new MLContext();
const int imageHeight = 100;
const int imageWidth = 130;
var dataFile = GetDataPath("images/images.tsv");
var imageFolder = Path.GetDirectoryName(dataFile);
var data = TextLoader.Create(env, new TextLoader.Options()
{
Columns = new[]
{
new TextLoader.Column("ImagePath", DataKind.String, 0),
new TextLoader.Column("Name", DataKind.String, 1),
}
}, new MultiFileSource(dataFile));
var images = new ImageLoadingTransformer(env, imageFolder, ("ImageReal", "ImagePath")).Transform(data);
var cropped = new ImageResizingTransformer(env, "ImageCropped", imageWidth, imageHeight, "ImageReal").Transform(images);
var pixels = new ImagePixelExtractingTransformer(env, "ImagePixels", "ImageCropped", ImagePixelExtractingEstimator.ColorBits.All, orderOfExtraction: ImagePixelExtractingEstimator.ColorsOrder.ABRG).Transform(cropped);
IDataView backToBitmaps = new VectorToImageConvertingTransformer(env, "ImageRestored", imageHeight, imageWidth, "ImagePixels",
ImagePixelExtractingEstimator.ColorBits.All, orderOfColors: ImagePixelExtractingEstimator.ColorsOrder.ABRG).Transform(pixels);
var fname = nameof(TestBackAndForthConversionWithDifferentOrder) + "_model.zip";
var fh = env.CreateOutputFile(fname);
using (var ch = env.Start("save"))
TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToBitmaps));
backToBitmaps = ModelFileUtils.LoadPipeline(env, fh.OpenReadStream(), new MultiFileSource(dataFile));
DeleteOutputPath(fname);
using (var cursor = backToBitmaps.GetRowCursorForAllColumns())
{
var bitmapGetter = cursor.GetGetter <Bitmap>(backToBitmaps.Schema["ImageRestored"]);
Bitmap restoredBitmap = default;
var bitmapCropGetter = cursor.GetGetter <Bitmap>(backToBitmaps.Schema["ImageCropped"]);
Bitmap croppedBitmap = default;
while (cursor.MoveNext())
{
bitmapGetter(ref restoredBitmap);
Assert.NotNull(restoredBitmap);
bitmapCropGetter(ref croppedBitmap);
Assert.NotNull(croppedBitmap);
for (int x = 0; x < imageWidth; x++)
{
for (int y = 0; y < imageHeight; y++)
{
var c = croppedBitmap.GetPixel(x, y);
var r = restoredBitmap.GetPixel(x, y);
if (c != r)
{
Assert.False(true);
}
Assert.True(c == r);
}
}
}
}
Done();
}
