424 lines
15 KiB
C#
424 lines
15 KiB
C#
#if !UNITY_WSA_10_0
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using UnityEngine;
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using UnityEngine.SceneManagement;
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using System;
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using System.Collections;
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using System.IO;
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using System.Collections.Generic;
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using OpenCVForUnity.CoreModule;
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using OpenCVForUnity.ImgcodecsModule;
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using OpenCVForUnity.DnnModule;
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using OpenCVForUnity.ImgprocModule;
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using OpenCVForUnity.UnityUtils;
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using OpenCVForUnity.UnityUtils.Helper;
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namespace OpenCVForUnityExample
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{
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/// <summary>
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/// Text Recognition CRNN WebCam Example
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/// This example demonstrates text detection and recognition model using the TextDetectionMode and TextRecognitionModel class.
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/// https://github.com/opencv/opencv_zoo/tree/master/models/text_detection_db
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/// https://github.com/opencv/opencv_zoo/tree/master/models/text_recognition_crnn
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/// https://docs.opencv.org/4.x/d4/d43/tutorial_dnn_text_spotting.html
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/// </summary>
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[RequireComponent(typeof(WebCamTextureToMatHelper))]
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public class TextRecognitionCRNNWebCamExample : MonoBehaviour
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{
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// Preprocess input image by resizing to a specific width. It should be multiple by 32.
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const float detection_inputSize_w = 320f; // 736f;
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// Preprocess input image by resizing to a specific height. It should be multiple by 32.
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const float detection_inputSize_h = 320f; // 736f;
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const double detection_inputScale = 1.0 / 255.0;
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Scalar detection_inputMean = new Scalar(122.67891434, 116.66876762, 104.00698793);
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// Threshold of the binary map.
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const float detection_binary_threshold = 0.3f;
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// Threshold of polygons.
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const float detection_polygon_threshold = 0.5f;
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// Max candidates of polygons.
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const int detection_max_candidates = 200;
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// The unclip ratio of the detected text region, which determines the output size.
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const double detection_unclip_ratio = 2.0;
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// Preprocess input image by resizing to a specific width.
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const float recogniton_inputSize_w = 100f;
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// Preprocess input image by resizing to a specific height.
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const float recogniton_inputSize_h = 32f;
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const double recogniton_inputScale = 1.0 / 127.5;
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Scalar recogniton_inputMean = new Scalar(127.5);
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/// <summary>
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/// Path to a binary .onnx file contains trained detection network.
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/// </summary>
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string DETECTIONMODEL_FILENAME = "OpenCVForUnity/dnn/text_detection_DB_IC15_resnet18_2021sep.onnx";
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/// <summary>
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/// The detection model filepath.
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/// </summary>
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string detectionmodel_filepath;
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/// <summary>
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/// Path to a binary .onnx file contains trained recognition network.
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/// </summary>
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string RECOGNTIONMODEL_FILENAME = "OpenCVForUnity/dnn/text_recognition_CRNN_EN_2021sep.onnx";
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/// <summary>
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/// The recognition model filepath.
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/// </summary>
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string recognitionmodel_filepath;
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/// <summary>
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/// Path to a .txt file contains charset.
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/// </summary>
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string CHARSETTXT_FILENAME = "OpenCVForUnity/dnn/charset_36_EN.txt";
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/// <summary>
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/// The charset txt filepath.
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/// </summary>
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string charsettxt_filepath;
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#if UNITY_WEBGL
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IEnumerator getFilePath_Coroutine;
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#endif
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TextDetectionModel_DB detectonModel;
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TextRecognitionModel recognitonModel;
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Mat croppedMat;
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Mat croppedGrayMat;
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/// <summary>
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/// The texture.
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/// </summary>
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Texture2D texture;
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/// <summary>
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/// The webcam texture to mat helper.
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/// </summary>
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WebCamTextureToMatHelper webCamTextureToMatHelper;
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/// <summary>
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/// The FPS monitor.
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/// </summary>
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FpsMonitor fpsMonitor;
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// Use this for initialization
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void Start()
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{
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fpsMonitor = GetComponent<FpsMonitor>();
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webCamTextureToMatHelper = gameObject.GetComponent<WebCamTextureToMatHelper>();
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#if UNITY_WEBGL
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getFilePath_Coroutine = GetFilePath();
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StartCoroutine(getFilePath_Coroutine);
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#else
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detectionmodel_filepath = Utils.getFilePath(DETECTIONMODEL_FILENAME);
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recognitionmodel_filepath = Utils.getFilePath(RECOGNTIONMODEL_FILENAME);
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charsettxt_filepath = Utils.getFilePath(CHARSETTXT_FILENAME);
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Run();
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#endif
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}
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#if UNITY_WEBGL
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private IEnumerator GetFilePath()
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{
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var getFilePathAsync_0_Coroutine = Utils.getFilePathAsync(DETECTIONMODEL_FILENAME, (result) =>
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{
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detectionmodel_filepath = result;
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});
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yield return getFilePathAsync_0_Coroutine;
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var getFilePathAsync_1_Coroutine = Utils.getFilePathAsync(RECOGNTIONMODEL_FILENAME, (result) =>
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{
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recognitionmodel_filepath = result;
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});
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yield return getFilePathAsync_1_Coroutine;
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var getFilePathAsync_2_Coroutine = Utils.getFilePathAsync(CHARSETTXT_FILENAME, (result) =>
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{
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charsettxt_filepath = result;
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});
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yield return getFilePathAsync_2_Coroutine;
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getFilePath_Coroutine = null;
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Run();
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}
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#endif
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// Use this for initialization
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void Run()
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{
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//if true, The error log of the Native side OpenCV will be displayed on the Unity Editor Console.
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Utils.setDebugMode(true);
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if (string.IsNullOrEmpty(detectionmodel_filepath) || string.IsNullOrEmpty(recognitionmodel_filepath) || string.IsNullOrEmpty(charsettxt_filepath))
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{
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Debug.LogError(DETECTIONMODEL_FILENAME + " or " + RECOGNTIONMODEL_FILENAME + " or " + CHARSETTXT_FILENAME + " is not loaded. Please read “StreamingAssets/OpenCVForUnity/dnn/setup_dnn_module.pdf” to make the necessary setup.");
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}
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else
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{
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// Create TextDetectionModel.
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detectonModel = new TextDetectionModel_DB(detectionmodel_filepath);
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detectonModel.setBinaryThreshold(detection_binary_threshold);
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detectonModel.setPolygonThreshold(detection_polygon_threshold);
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detectonModel.setUnclipRatio(detection_unclip_ratio);
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detectonModel.setMaxCandidates(detection_max_candidates);
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detectonModel.setInputParams(detection_inputScale, new Size(detection_inputSize_w, detection_inputSize_h), detection_inputMean);
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// Create TextRecognitonModel.
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recognitonModel = new TextRecognitionModel(recognitionmodel_filepath);
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recognitonModel.setDecodeType("CTC-greedy");
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recognitonModel.setVocabulary(loadCharset(charsettxt_filepath));
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recognitonModel.setInputParams(recogniton_inputScale, new Size(recogniton_inputSize_w, recogniton_inputSize_h), recogniton_inputMean);
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croppedMat = new Mat(new Size(recogniton_inputSize_w, recogniton_inputSize_h), CvType.CV_8SC3);
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croppedGrayMat = new Mat(croppedMat.size(), CvType.CV_8SC1);
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}
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Utils.setDebugMode(false);
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webCamTextureToMatHelper.outputColorFormat = WebCamTextureToMatHelper.ColorFormat.BGR;
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webCamTextureToMatHelper.Initialize();
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}
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/// <summary>
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/// Raises the webcam texture to mat helper initialized event.
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/// </summary>
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public void OnWebCamTextureToMatHelperInitialized()
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{
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Debug.Log("OnWebCamTextureToMatHelperInitialized");
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Mat webCamTextureMat = webCamTextureToMatHelper.GetMat();
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texture = new Texture2D(webCamTextureMat.cols(), webCamTextureMat.rows(), TextureFormat.RGB24, false);
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Utils.matToTexture2D(webCamTextureMat, texture);
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gameObject.GetComponent<Renderer>().material.mainTexture = texture;
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gameObject.transform.localScale = new Vector3(webCamTextureMat.cols(), webCamTextureMat.rows(), 1);
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Debug.Log("Screen.width " + Screen.width + " Screen.height " + Screen.height + " Screen.orientation " + Screen.orientation);
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if (fpsMonitor != null)
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{
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fpsMonitor.Add("width", webCamTextureToMatHelper.GetWidth().ToString());
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fpsMonitor.Add("height", webCamTextureToMatHelper.GetHeight().ToString());
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fpsMonitor.Add("orientation", Screen.orientation.ToString());
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}
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float width = webCamTextureMat.width();
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float height = webCamTextureMat.height();
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float widthScale = (float)Screen.width / width;
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float heightScale = (float)Screen.height / height;
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if (widthScale < heightScale)
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{
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Camera.main.orthographicSize = (width * (float)Screen.height / (float)Screen.width) / 2;
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}
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else
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{
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Camera.main.orthographicSize = height / 2;
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}
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// If the WebCam is front facing, flip the Mat horizontally. Required for successful detection of text.
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if (webCamTextureToMatHelper.IsFrontFacing() && !webCamTextureToMatHelper.flipHorizontal)
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{
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webCamTextureToMatHelper.flipHorizontal = true;
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}
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else if (!webCamTextureToMatHelper.IsFrontFacing() && webCamTextureToMatHelper.flipHorizontal)
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{
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webCamTextureToMatHelper.flipHorizontal = false;
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}
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}
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/// <summary>
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/// Raises the webcam texture to mat helper disposed event.
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/// </summary>
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public void OnWebCamTextureToMatHelperDisposed()
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{
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Debug.Log("OnWebCamTextureToMatHelperDisposed");
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if (texture != null)
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{
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Texture2D.Destroy(texture);
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texture = null;
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}
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}
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/// <summary>
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/// Raises the webcam texture to mat helper error occurred event.
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/// </summary>
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/// <param name="errorCode">Error code.</param>
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public void OnWebCamTextureToMatHelperErrorOccurred(WebCamTextureToMatHelper.ErrorCode errorCode)
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{
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Debug.Log("OnWebCamTextureToMatHelperErrorOccurred " + errorCode);
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if (fpsMonitor != null)
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{
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fpsMonitor.consoleText = "ErrorCode: " + errorCode;
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}
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}
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// Update is called once per frame
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void Update()
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{
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if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
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{
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Mat img = webCamTextureToMatHelper.GetMat();
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if (detectonModel == null || recognitonModel == null)
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{
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Imgproc.putText(img, "model file is not loaded.", new Point(5, img.rows() - 30), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
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Imgproc.putText(img, "Please read console message.", new Point(5, img.rows() - 10), Imgproc.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255), 2, Imgproc.LINE_AA, false);
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}
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else
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{
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MatOfRotatedRect detectons = new MatOfRotatedRect();
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MatOfFloat confidences = new MatOfFloat();
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detectonModel.detectTextRectangles(img, detectons, confidences);
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RotatedRect[] detectons_arr = detectons.toArray();
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foreach (var rb in detectons_arr)
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{
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Point[] vertices = new Point[4];
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rb.points(vertices);
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for (int j = 0; j < 4; ++j)
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Imgproc.line(img, vertices[j], vertices[(j + 1) % 4], new Scalar(0, 255, 0), 1);
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// Create transformed and cropped image.
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fourPointsTransform(img, croppedMat, vertices);
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Imgproc.cvtColor(croppedMat, croppedGrayMat, Imgproc.COLOR_BGR2GRAY);
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string recognitionResult = recognitonModel.recognize(croppedGrayMat);
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//Debug.Log(recognitionResult);
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Imgproc.putText(img, recognitionResult, vertices[1], Imgproc.FONT_HERSHEY_SIMPLEX, 0.8, new Scalar(0, 0, 255), 2, Imgproc.LINE_AA, false);
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}
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}
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Imgproc.cvtColor(img, img, Imgproc.COLOR_BGR2RGB);
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//Imgproc.putText (img, "W:" + img.width () + " H:" + img.height () + " SO:" + Screen.orientation, new Point (5, img.rows () - 10), Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar (255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
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Utils.matToTexture2D(img, texture);
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}
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}
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/// <summary>
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/// Raises the destroy event.
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/// </summary>
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void OnDestroy()
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{
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webCamTextureToMatHelper.Dispose();
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if (detectonModel != null)
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detectonModel.Dispose();
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if (recognitonModel != null)
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recognitonModel.Dispose();
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if (croppedMat != null)
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{
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croppedMat.Dispose();
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croppedMat = null;
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}
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if (croppedGrayMat != null)
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{
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croppedGrayMat.Dispose();
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croppedGrayMat = null;
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}
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#if UNITY_WEBGL
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if (getFilePath_Coroutine != null)
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{
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StopCoroutine(getFilePath_Coroutine);
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((IDisposable)getFilePath_Coroutine).Dispose();
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}
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#endif
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}
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/// <summary>
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/// Raises the back button click event.
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/// </summary>
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public void OnBackButtonClick()
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{
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SceneManager.LoadScene("OpenCVForUnityExample");
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}
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/// <summary>
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/// Raises the play button click event.
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/// </summary>
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public void OnPlayButtonClick()
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{
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webCamTextureToMatHelper.Play();
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}
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/// <summary>
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/// Raises the pause button click event.
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/// </summary>
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public void OnPauseButtonClick()
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{
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webCamTextureToMatHelper.Pause();
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}
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/// <summary>
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/// Raises the stop button click event.
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/// </summary>
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public void OnStopButtonClick()
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{
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webCamTextureToMatHelper.Stop();
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}
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/// <summary>
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/// Raises the change camera button click event.
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/// </summary>
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public void OnChangeCameraButtonClick()
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{
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webCamTextureToMatHelper.requestedIsFrontFacing = !webCamTextureToMatHelper.requestedIsFrontFacing;
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}
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protected void fourPointsTransform(Mat src, Mat dst, Point[] vertices)
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{
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Size outputSize = dst.size();
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Point[] targetVertices = new Point[] { new Point(0, outputSize.height - 1),
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new Point(0, 0), new Point(outputSize.width - 1, 0),
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new Point(outputSize.width - 1, outputSize.height - 1),
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};
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MatOfPoint2f verticesMat = new MatOfPoint2f(vertices);
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MatOfPoint2f targetVerticesMat = new MatOfPoint2f(targetVertices);
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Mat rotationMatrix = Imgproc.getPerspectiveTransform(verticesMat, targetVerticesMat);
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Imgproc.warpPerspective(src, dst, rotationMatrix, outputSize);
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}
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protected List<string> loadCharset(string charsetPath)
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{
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return new List<string>(File.ReadAllLines(charsetPath));
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}
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}
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}
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#endif |