// Copyright (c) Six Labors. // Licensed under the Apache License, Version 2.0. using System; using System.Diagnostics; using System.IO; using System.Reflection; using System.Threading; using SixLabors.ImageSharp.Formats.Jpeg; using SixLabors.ImageSharp.PixelFormats; using SixLabors.ImageSharp.Processing; using SixLabors.ImageSharp.Tests.PixelFormats.PixelOperations; using SixLabors.ImageSharp.Tests.ProfilingBenchmarks; using Xunit.Abstractions; // in this file, comments are used for disabling stuff for local execution #pragma warning disable SA1515 #pragma warning disable SA1512 namespace SixLabors.ImageSharp.Tests.ProfilingSandbox { public class Program { private class ConsoleOutput : ITestOutputHelper { public void WriteLine(string message) => Console.WriteLine(message); public void WriteLine(string format, params object[] args) => Console.WriteLine(format, args); } public static void Main(string[] args) { //ReEncodeImage("Calliphora"); // DecodeImageResize__explicit("Calliphora", new Size(101, 150)); // DecodeImageResize__experimental("Calliphora_aligned_size", new Size(101, 150)); //DecodeImageResize__experimental("winter420_noninterleaved", new Size(80, 120)); // Decode-Resize-Encode w/ Mutate() // Elapsed: 2504ms across 250 iterations // Average: 10,016ms BenchmarkResizingLoop__explicit("Calliphora", new Size(80, 120), 250); // Decode-Resize-Encode w/ downscaling decoder // Elapsed: 1157ms across 250 iterations // Average: 4,628ms BenchmarkResizingLoop__experimental("Calliphora", new Size(80, 120), 250); Console.WriteLine("Done."); } const string pathTemplate = "C:\\Users\\pl4nu\\Downloads\\{0}.jpg"; private static void BenchmarkEncoder(string fileName, int iterations, int quality, JpegColorType color) { string loadPath = String.Format(pathTemplate, fileName); using var inputStream = new FileStream(loadPath, FileMode.Open); using var saveStream = new MemoryStream(); var decoder = new JpegDecoder { IgnoreMetadata = true }; using Image img = decoder.Decode(Configuration.Default, inputStream, CancellationToken.None); var encoder = new JpegEncoder() { Quality = quality, ColorType = color }; Stopwatch sw = new Stopwatch(); sw.Start(); for (int i = 0; i < iterations; i++) { img.SaveAsJpeg(saveStream, encoder); saveStream.Position = 0; } sw.Stop(); Console.WriteLine($"// Encoding q={quality} | color={color}\n" + $"// Elapsed: {sw.ElapsedMilliseconds}ms across {iterations} iterations\n" + $"// Average: {(double)sw.ElapsedMilliseconds / iterations}ms"); } private static void BenchmarkDecoder(string fileName, int iterations) { string loadPath = String.Format(pathTemplate, fileName); using var fileStream = new FileStream(loadPath, FileMode.Open); using var inputStream = new MemoryStream(); fileStream.CopyTo(inputStream); var decoder = new JpegDecoder { IgnoreMetadata = true }; var sw = new Stopwatch(); sw.Start(); for (int i = 0; i < iterations; i++) { inputStream.Position = 0; using Image img = decoder.Decode(Configuration.Default, inputStream, CancellationToken.None); } sw.Stop(); Console.WriteLine($"// Decoding\n" + $"// Elapsed: {sw.ElapsedMilliseconds}ms across {iterations} iterations\n" + $"// Average: {(double)sw.ElapsedMilliseconds / iterations}ms"); } private static void BenchmarkResizingLoop__experimental(string fileName, Size targetSize, int iterations) { string loadPath = String.Format(pathTemplate, fileName); using var fileStream = new FileStream(loadPath, FileMode.Open); using var saveStream = new MemoryStream(); using var inputStream = new MemoryStream(); fileStream.CopyTo(inputStream); var decoder = new JpegDecoder { IgnoreMetadata = true }; var encoder = new JpegEncoder { ColorType = JpegColorType.YCbCrRatio444 }; var sw = new Stopwatch(); sw.Start(); for (int i = 0; i < iterations; i++) { inputStream.Position = 0; using Image img = decoder.Experimental__DecodeInto(Configuration.Default, inputStream, targetSize, CancellationToken.None); img.SaveAsJpeg(saveStream, encoder); } sw.Stop(); Console.WriteLine($"// Decode-Resize-Encode w/ downscaling decoder\n" + $"// Elapsed: {sw.ElapsedMilliseconds}ms across {iterations} iterations\n" + $"// Average: {(double)sw.ElapsedMilliseconds / iterations}ms"); } private static void BenchmarkResizingLoop__explicit(string fileName, Size targetSize, int iterations) { string loadPath = String.Format(pathTemplate, fileName); using var fileStream = new FileStream(loadPath, FileMode.Open); using var saveStream = new MemoryStream(); using var inputStream = new MemoryStream(); fileStream.CopyTo(inputStream); var decoder = new JpegDecoder { IgnoreMetadata = true }; var encoder = new JpegEncoder { ColorType = JpegColorType.YCbCrRatio444 }; var sw = new Stopwatch(); sw.Start(); for (int i = 0; i < iterations; i++) { inputStream.Position = 0; using Image img = decoder.Decode(Configuration.Default, inputStream, CancellationToken.None); img.Mutate(ctx => ctx.Resize(targetSize, KnownResamplers.Box, false)); img.SaveAsJpeg(saveStream, encoder); } sw.Stop(); Console.WriteLine($"// Decode-Resize-Encode w/ Mutate()\n" + $"// Elapsed: {sw.ElapsedMilliseconds}ms across {iterations} iterations\n" + $"// Average: {(double)sw.ElapsedMilliseconds / iterations}ms"); } private static void ReEncodeImage(string fileName, int? quality = null) { string loadPath = String.Format(pathTemplate, fileName); using Image img = Image.Load(loadPath); string savePath = String.Format(pathTemplate, $"q{quality}_test_{fileName}"); var encoder = new JpegEncoder() { Quality = quality, ColorType = JpegColorType.YCbCrRatio444 }; img.SaveAsJpeg(savePath, encoder); } private static void DecodeImageResize__explicit(string fileName, Size targetSize, int? quality = null) { string loadPath = String.Format(pathTemplate, fileName); string savePath = String.Format(pathTemplate, $"q{quality}_test_{fileName}"); var decoder = new JpegDecoder(); var encoder = new JpegEncoder() { Quality = quality, ColorType = JpegColorType.YCbCrRatio444 }; using Image img = decoder.Decode(Configuration.Default, File.OpenRead(loadPath), CancellationToken.None); img.Mutate(ctx => ctx.Resize(targetSize, KnownResamplers.Box, false)); img.SaveAsJpeg(savePath, encoder); } private static void DecodeImageResize__experimental(string fileName, Size targetSize, int? quality = null) { string loadPath = String.Format(pathTemplate, fileName); var decoder = new JpegDecoder(); using Image img = decoder.Experimental__DecodeInto(Configuration.Default, File.OpenRead(loadPath), targetSize, CancellationToken.None); string savePath = String.Format(pathTemplate, $"q{quality}_test_{fileName}"); var encoder = new JpegEncoder() { Quality = quality, ColorType = JpegColorType.YCbCrRatio444 }; img.SaveAsJpeg(savePath, encoder); } private static Version GetNetCoreVersion() { Assembly assembly = typeof(System.Runtime.GCSettings).GetTypeInfo().Assembly; Console.WriteLine(assembly.Location); string[] assemblyPath = assembly.Location.Split(new[] { '/', '\\' }, StringSplitOptions.RemoveEmptyEntries); int netCoreAppIndex = Array.IndexOf(assemblyPath, "Microsoft.NETCore.App"); if (netCoreAppIndex > 0 && netCoreAppIndex < assemblyPath.Length - 2) { return Version.Parse(assemblyPath[netCoreAppIndex + 1]); } return null; } private static void RunJpegEncoderProfilingTests() { var benchmarks = new JpegProfilingBenchmarks(new ConsoleOutput()); benchmarks.EncodeJpeg_SingleMidSize(); } private static void RunResizeProfilingTest() { var test = new ResizeProfilingBenchmarks(new ConsoleOutput()); test.ResizeBicubic(4000, 4000); } private static void RunToVector4ProfilingTest() { var tests = new PixelOperationsTests.Rgba32_OperationsTests(new ConsoleOutput()); tests.Benchmark_ToVector4(); } private static void RunDecodeJpegProfilingTests() { Console.WriteLine("RunDecodeJpegProfilingTests..."); var benchmarks = new JpegProfilingBenchmarks(new ConsoleOutput()); foreach (object[] data in JpegProfilingBenchmarks.DecodeJpegData) { string fileName = (string)data[0]; int executionCount = (int)data[1]; benchmarks.DecodeJpeg(fileName, executionCount); } Console.WriteLine("DONE."); } } }