public static CommonOutputs.TransformOutput ImageGrayscale(IHostEnvironment env, ImageGrayscaleTransform.Arguments input) { var h = EntryPointUtils.CheckArgsAndCreateHost(env, "ImageGrayscaleTransform", input); var xf = new ImageGrayscaleTransform(h, input, input.Data); return(new CommonOutputs.TransformOutput() { Model = new TransformModel(h, xf, input.Data), OutputData = xf }); }
public void TestGreyscaleTransformImages() { using (var env = new ConsoleEnvironment()) { var imageHeight = 150; var imageWidth = 100; var dataFile = GetDataPath("images/images.tsv"); var imageFolder = Path.GetDirectoryName(dataFile); var data = TextLoader.Create(env, new TextLoader.Arguments() { Column = new[] { new TextLoader.Column("ImagePath", DataKind.TX, 0), new TextLoader.Column("Name", DataKind.TX, 1), } }, new MultiFileSource(dataFile)); var images = ImageLoaderTransform.Create(env, new ImageLoaderTransform.Arguments() { Column = new ImageLoaderTransform.Column[1] { new ImageLoaderTransform.Column() { Source = "ImagePath", Name = "ImageReal" } }, ImageFolder = imageFolder }, data); var cropped = ImageResizerTransform.Create(env, new ImageResizerTransform.Arguments() { Column = new ImageResizerTransform.Column[1] { new ImageResizerTransform.Column() { Name = "ImageCropped", Source = "ImageReal", ImageHeight = imageHeight, ImageWidth = imageWidth, Resizing = ImageResizerTransform.ResizingKind.IsoCrop } } }, images); IDataView grey = ImageGrayscaleTransform.Create(env, new ImageGrayscaleTransform.Arguments() { Column = new ImageGrayscaleTransform.Column[1] { new ImageGrayscaleTransform.Column() { Name = "ImageGrey", Source = "ImageCropped" } } }, cropped); var fname = nameof(TestGreyscaleTransformImages) + "_model.zip"; var fh = env.CreateOutputFile(fname); using (var ch = env.Start("save")) TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(grey)); grey = ModelFileUtils.LoadPipeline(env, fh.OpenReadStream(), new MultiFileSource(dataFile)); DeleteOutputPath(fname); grey.Schema.TryGetColumnIndex("ImageGrey", out int greyColumn); using (var cursor = grey.GetRowCursor((x) => true)) { var bitmapGetter = cursor.GetGetter <Bitmap>(greyColumn); Bitmap bitmap = default; while (cursor.MoveNext()) { bitmapGetter(ref bitmap); Assert.NotNull(bitmap); for (int x = 0; x < imageWidth; x++) { for (int y = 0; y < imageHeight; y++) { var pixel = bitmap.GetPixel(x, y); // greyscale image has same values for R,G and B Assert.True(pixel.R == pixel.G && pixel.G == pixel.B); } } } } } Done(); }
public Mapper(ImageGrayscaleTransform parent, Schema inputSchema) : base(parent.Host.Register(nameof(Mapper)), parent, inputSchema) { _parent = parent; }
public void TestGreyscaleTransformImages() { using (var env = new TlcEnvironment()) { var imageHeight = 150; var imageWidth = 100; var dataFile = GetDataPath("images/images.tsv"); var imageFolder = Path.GetDirectoryName(dataFile); var data = env.CreateLoader("Text{col=ImagePath:TX:0 col=Name:TX:1}", new MultiFileSource(dataFile)); var images = new ImageLoaderTransform(env, new ImageLoaderTransform.Arguments() { Column = new ImageLoaderTransform.Column[1] { new ImageLoaderTransform.Column() { Source = "ImagePath", Name = "ImageReal" } }, ImageFolder = imageFolder }, data); var cropped = new ImageResizerTransform(env, new ImageResizerTransform.Arguments() { Column = new ImageResizerTransform.Column[1] { new ImageResizerTransform.Column() { Name = "ImageCropped", Source = "ImageReal", ImageHeight = imageHeight, ImageWidth = imageWidth, Resizing = ImageResizerTransform.ResizingKind.IsoCrop } } }, images); var grey = new ImageGrayscaleTransform(env, new ImageGrayscaleTransform.Arguments() { Column = new ImageGrayscaleTransform.Column[1] { new ImageGrayscaleTransform.Column() { Name = "ImageGrey", Source = "ImageCropped" } } }, cropped); grey.Schema.TryGetColumnIndex("ImageGrey", out int greyColumn); using (var cursor = grey.GetRowCursor((x) => true)) { var bitmapGetter = cursor.GetGetter <Bitmap>(greyColumn); Bitmap bitmap = default; while (cursor.MoveNext()) { bitmapGetter(ref bitmap); Assert.NotNull(bitmap); for (int x = 0; x < imageWidth; x++) { for (int y = 0; y < imageHeight; y++) { var pixel = bitmap.GetPixel(x, y); // greyscale image has same values for R,G and B Assert.True(pixel.R == pixel.G && pixel.G == pixel.B); } } } } } }