mattercontrol/original/MatterControlLib/DesignTools/Lithophane.cs

/*
Copyright (c) 2023, Lars Brubaker, John Lewin
All rights reserved.

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using MatterHackers.Agg.Image;
using MatterHackers.PolygonMesh;
using MatterHackers.VectorMath;
using System;
using System.Diagnostics;
using System.Linq;

namespace MatterHackers.MatterControl.Plugins.Lithophane
{
    public static class Lithophane
    {
        public interface IImageData
        {
            int Height { get; }
            byte[] Pixels { get; }

            int Width { get; }
        }

        public static Mesh Generate(IImageData resizedImage, double maxZ, double nozzleWidth, double pixelsPerMM, bool invert, Action<double, string> reporter)
        {
            // TODO: Move this to a user supplied value
            double baseThickness = nozzleWidth;     // base thickness (in mm)
            double zRange = maxZ - baseThickness;

            // Dimensions of image
            var width = resizedImage.Width;
            var height = resizedImage.Height;

            var zScale = zRange / 255;

            var pixelData = resizedImage.Pixels;

            Stopwatch stopwatch = Stopwatch.StartNew();

            var mesh = new Mesh();

            //var rescale = (double)onPlateWidth / imageData.Width;
            var rescale = 1;

            // Build an array of PixelInfo objects from each pixel
            // Collapse from 4 bytes per pixel to one - makes subsequent processing more logical and has minimal cost
            var pixels = pixelData.Where((x, i) => i % 4 == 0)

                // Interpolate the pixel color to zheight
                .Select(b => baseThickness + (invert ? 255 - b : b) * zScale)

                // Project to Vector3 for each pixel at the computed x/y/z
                .Select((z, i) => new Vector3(
                        i % width * rescale,
                        (i - i % width) / width * rescale * -1,
                        z))
                // Project to PixelInfo, creating a mirrored Vector3 at z0, paired together and added to the mesh
                .Select(vec =>
                {
                    var pixelInfo = new PixelInfo()
                    {
                        Top = vec,
                        Bottom = new Vector3(vec.X, vec.Y, 0)
                    };

                    mesh.Vertices.Add(pixelInfo.Top);
                    mesh.Vertices.Add(pixelInfo.Bottom);

                    return pixelInfo;
                }).ToArray();

            Console.WriteLine("ElapsedTime - PixelInfo Linq Generation: {0}", stopwatch.ElapsedMilliseconds);
            stopwatch.Restart();

            // Select pixels along image edges
            var backRow = pixels.Take(width).Reverse().ToArray();
            var frontRow = pixels.Skip((height - 1) * width).Take(width).ToArray();
            var leftRow = pixels.Where((x, i) => i % width == 0).ToArray();
            var rightRow = pixels.Where((x, i) => (i + 1) % width == 0).Reverse().ToArray();

            int k,
                nextJ,
                nextK;

            var notificationInterval = 100;

            var workCount = (resizedImage.Width - 1) * (resizedImage.Height - 1) +
                            (height - 1) +
                            (width - 1);

            double workIndex = 0;

            // Vertical faces: process each row and column, creating the top and bottom faces as appropriate
            for (int i = 0; i < resizedImage.Height - 1; ++i)
            {
                var startAt = i * width;

                // Process each column
                for (int j = startAt; j < startAt + resizedImage.Width - 1; ++j)
                {
                    k = j + 1;
                    nextJ = j + resizedImage.Width;
                    nextK = nextJ + 1;

                    // Create north, then south face
                    mesh.CreateFace(new[] { pixels[k].Top, pixels[j].Top, pixels[nextJ].Top, pixels[nextK].Top });
                    mesh.CreateFace(new[] { pixels[j].Bottom, pixels[k].Bottom, pixels[nextK].Bottom, pixels[nextJ].Bottom });
                    workIndex++;

                    if (workIndex % notificationInterval == 0)
                    {
                        reporter?.Invoke(workIndex / workCount, null);
                    }
                }
            }

            // Side faces: East/West
            for (int j = 0; j < height - 1; ++j)
            {
                //Next row
                k = j + 1;

                // Create east, then west face
                mesh.CreateFace(new[] { leftRow[k].Top, leftRow[j].Top, leftRow[j].Bottom, leftRow[k].Bottom });
                mesh.CreateFace(new[] { rightRow[k].Top, rightRow[j].Top, rightRow[j].Bottom, rightRow[k].Bottom });
                workIndex++;

                if (workIndex % notificationInterval == 0)
                {
                    reporter?.Invoke(workIndex / workCount, null);
                }
            }

            // Side faces: North/South
            for (int j = 0; j < width - 1; ++j)
            {
                // Next row
                k = j + 1;

                // Create north, then south face
                mesh.CreateFace(new[] { frontRow[k].Top, frontRow[j].Top, frontRow[j].Bottom, frontRow[k].Bottom });
                mesh.CreateFace(new[] { backRow[k].Top, backRow[j].Top, backRow[j].Bottom, backRow[k].Bottom });
                workIndex++;

                if (workIndex % notificationInterval == 0)
                {
                    reporter?.Invoke(workIndex / workCount, null);
                }
            }

            Console.WriteLine("ElapsedTime - Face Generation: {0}", stopwatch.ElapsedMilliseconds);

            return mesh;
        }

        public class ImageBufferImageData : IImageData
        {
            private ImageBuffer resizedImage;

            public ImageBufferImageData(ImageBuffer image, double pixelWidth)
            {
                resizedImage = this.ToResizedGrayscale(image, pixelWidth).MirrorY();
            }

            public int Height => resizedImage.Height;
            public byte[] Pixels => resizedImage.GetBuffer();
            public int Width => resizedImage.Width;

            private ImageBuffer ToResizedGrayscale(ImageBuffer image, double onPlateWidth = 0)
            {
                var ratio = onPlateWidth / image.Width;

                var resizedImage = image.CreateScaledImage(ratio);

                var grayImage = resizedImage.ToGrayscale();

                // Render grayscale pixels onto resized image with larger pixel format needed by caller
                resizedImage.NewGraphics2D().Render(grayImage, 0, 0);

                return resizedImage;
            }
        }

        private class PixelInfo
        {
            public Vector3 Bottom { get; set; }
            public Vector3 Top { get; set; }
        }
    }
}