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Extensions.cs
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// Copyright (c) TensorStack. All rights reserved.
// Licensed under the Apache 2.0 License.
using SixLabors.ImageSharp;
using SixLabors.ImageSharp.PixelFormats;
using System;
using System.Threading.Tasks;
using TensorStack.Common.Tensor;
namespace TensorStack.Image
{
public static class Extensions
{
/// <summary>
/// Converts ImageTensor to ImageSharp.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>Image<Rgba32>.</returns>
public static Image<Rgba32> ToImage(this ImageTensor imageTensor)
{
return imageTensor.ToImageSharp();
}
/// <summary>
/// Converts ImageTensorBase to ImageTensor.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>ImageTensor.</returns>
public static ImageInput ToImageInput(this ImageTensor imageTensor)
{
return new ImageInput(imageTensor);
}
/// <summary>
/// Saves the ImageTensor.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <param name="filename">The filename.</param>
public static Task SaveAsync(this ImageTensor imageTensor, string filename)
{
return Task.Run(() =>
{
using (var image = imageTensor.ToImageInput())
{
image.Save(filename);
}
});
}
/// <summary>
/// Saves the ImageTensor.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <param name="filename">The filename.</param>
public static Task SaveAsync(this ImageInput imageTensor, string filename)
{
return Task.Run(() => imageTensor.Save(filename));
}
/// <summary>
/// Converts ImageSharp to Tensor.
/// </summary>
/// <param name="image">The image.</param>
/// <returns>Tensor<System.Single>.</returns>
internal static ImageTensor ToTensor(this Image<Rgba32> image)
{
var imageArray = new Tensor<float>(new[] { 1, 4, image.Height, image.Width });
image.ProcessPixelRows(img =>
{
for (int x = 0; x < image.Width; x++)
{
for (int y = 0; y < image.Height; y++)
{
var pixelSpan = img.GetRowSpan(y);
imageArray[0, 0, y, x] = GetFloatValue(pixelSpan[x].R);
imageArray[0, 1, y, x] = GetFloatValue(pixelSpan[x].G);
imageArray[0, 2, y, x] = GetFloatValue(pixelSpan[x].B);
imageArray[0, 3, y, x] = GetFloatValue(pixelSpan[x].A);
}
}
});
return new ImageTensor(imageArray);
}
/// <summary>
/// Converts Tensor to ImageSharp.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>Image<Rgba32>.</returns>
internal static Image<Rgba32> ToImageSharp(this ImageTensor imageTensor)
{
if (imageTensor.Channels == 1)
return imageTensor.ToSingleChannelImage();
var imageData = new Image<Rgba32>(imageTensor.Width, imageTensor.Height);
for (var y = 0; y < imageTensor.Height; y++)
{
for (var x = 0; x < imageTensor.Width; x++)
{
imageData[x, y] = new Rgba32
(
GetByteValue(imageTensor[0, 0, y, x]),
GetByteValue(imageTensor[0, 1, y, x]),
GetByteValue(imageTensor[0, 2, y, x]),
imageTensor.Channels == 4 ? GetByteValue(imageTensor[0, 3, y, x]) : byte.MaxValue
);
}
}
return imageData;
}
/// <summary>
/// Converts to single channel Image.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>Image<Rgba32>.</returns>
private static Image<Rgba32> ToSingleChannelImage(this ImageTensor imageTensor)
{
using (var result = new Image<L8>(imageTensor.Width, imageTensor.Height))
{
for (var y = 0; y < imageTensor.Height; y++)
{
for (var x = 0; x < imageTensor.Width; x++)
{
result[x, y] = new L8((byte)(imageTensor[0, 0, y, x] * 255.0f));
}
}
return result.CloneAs<Rgba32>();
}
}
/// <summary>
/// Gets the normalized byte value.
/// </summary>
/// <param name="value">The value.</param>
private static byte GetByteValue(float value)
{
return (byte)Math.Round(Math.Clamp(value / 2 + 0.5, 0, 1) * 255);
}
/// <summary>
/// Gets the normalized float value.
/// </summary>
/// <param name="value">The value.</param>
private static float GetFloatValue(byte value)
{
return (value / 255.0f) * 2.0f - 1.0f;
}
}
}