73 lines
2.2 KiB
C#
73 lines
2.2 KiB
C#
using System;
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using System.Collections.Generic;
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using MMDeploy;
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using ImreadModes = OpenCvSharp.ImreadModes;
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using Cv2 = OpenCvSharp.Cv2;
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using CvMat = OpenCvSharp.Mat;
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using MatType = OpenCvSharp.MatType;
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using ColorConversionCodes = OpenCvSharp.ColorConversionCodes;
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using WindowFlags = OpenCvSharp.WindowFlags;
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namespace image_restorer
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{
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class Program
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{
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/// <summary>
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/// transform input
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/// </summary>
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static void CvMatToMat(CvMat[] cvMats, out Mat[] mats)
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{
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mats = new Mat[cvMats.Length];
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unsafe
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{
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for (int i = 0; i < cvMats.Length; i++)
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{
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mats[i].Data = cvMats[i].DataPointer;
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mats[i].Height = cvMats[i].Height;
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mats[i].Width = cvMats[i].Width;
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mats[i].Channel = cvMats[i].Dims;
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mats[i].Format = PixelFormat.BGR;
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mats[i].Type = DataType.Int8;
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}
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}
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}
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static void CvWaitKey()
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{
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Cv2.WaitKey();
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}
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static void Main(string[] args)
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{
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if (args.Length != 3)
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{
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Console.WriteLine("usage:\n image_restorer deviceName modelPath imagePath\n");
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Environment.Exit(1);
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}
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string deviceName = args[0];
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string modelPath = args[1];
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string imagePath = args[2];
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// 1. create handle
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Restorer handle = new Restorer(modelPath, deviceName, 0);
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// 2. prepare input
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CvMat[] imgs = new CvMat[1] { Cv2.ImRead(imagePath, ImreadModes.Color) };
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CvMatToMat(imgs, out var mats);
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// 3. process
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List<RestorerOutput> output = handle.Apply(mats);
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// 4. show result
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CvMat sr_img = new CvMat(output[0].Height, output[0].Width, MatType.CV_8UC3, output[0].Data);
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Cv2.CvtColor(sr_img, sr_img, ColorConversionCodes.RGB2BGR);
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Cv2.NamedWindow("sr", WindowFlags.GuiExpanded);
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Cv2.ImShow("sr", sr_img);
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CvWaitKey();
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handle.Close();
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}
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}
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}
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