69 lines
2.0 KiB
C#
69 lines
2.0 KiB
C#
using System;
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using System.Collections.Generic;
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using OpenCvSharp;
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using MMDeploy;
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namespace ocr_recognition
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{
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class Program
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{
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static void CvMatToMat(OpenCvSharp.Mat[] cvMats, out MMDeploy.Mat[] mats)
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{
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mats = new MMDeploy.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 ocr_recognition 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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TextRecognizer handle = new TextRecognizer(modelPath, deviceName, 0);
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// 2. prepare input
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OpenCvSharp.Mat[] imgs = new OpenCvSharp.Mat[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<TextRecognizerOutput> output = handle.Apply(mats);
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//// 4. show result
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foreach (var box in output[0].Results)
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{
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string text = System.Text.Encoding.UTF8.GetString(box.Text);
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Cv2.PutText(imgs[0], text, new Point(20, 20), HersheyFonts.HersheySimplex, 0.7, new Scalar(0, 255, 0), 1);
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}
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Cv2.NamedWindow("ocr-reg", WindowFlags.GuiExpanded);
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Cv2.ImShow("ocr-reg", imgs[0]);
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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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