123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164 |
- #if !UNITY_WSA_10_0
- using UnityEngine;
- using UnityEngine.SceneManagement;
- using System;
- using System.Collections;
- using System.Collections.Generic;
- using OpenCVForUnity.CoreModule;
- using OpenCVForUnity.ImgprocModule;
- using OpenCVForUnity.TextModule;
- using OpenCVForUnity.ImgcodecsModule;
- using OpenCVForUnity.UnityUtils;
- namespace OpenCVForUnityExample
- {
- /// <summary>
- /// Text Detection Example
- /// A demo script of the Extremal Region Filter algorithm described in:Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012.
- /// Referring to https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/textdetection.py.
- /// </summary>
- public class TextDetectionExample : MonoBehaviour
- {
- string scenetext01_jpg_filepath;
- string trained_classifierNM1_xml_filepath;
- string trained_classifierNM2_xml_filepath;
- #if UNITY_WEBGL && !UNITY_EDITOR
- IEnumerator getFilePath_Coroutine;
- #endif
- // Use this for initialization
- void Start ()
- {
- #if UNITY_WEBGL && !UNITY_EDITOR
- getFilePath_Coroutine = GetFilePath ();
- StartCoroutine (getFilePath_Coroutine);
- #else
- scenetext01_jpg_filepath = Utils.getFilePath ("text/scenetext01.jpg");
- trained_classifierNM1_xml_filepath = Utils.getFilePath ("text/trained_classifierNM1.xml");
- trained_classifierNM2_xml_filepath = Utils.getFilePath ("text/trained_classifierNM2.xml");
- Run ();
- #endif
- }
- #if UNITY_WEBGL && !UNITY_EDITOR
- private IEnumerator GetFilePath()
- {
- var getFilePathAsync_0_Coroutine = Utils.getFilePathAsync ("text/scenetext01.jpg", (result) => {
- scenetext01_jpg_filepath = result;
- });
- yield return getFilePathAsync_0_Coroutine;
- var getFilePathAsync_1_Coroutine = Utils.getFilePathAsync ("text/trained_classifierNM1.xml", (result) => {
- trained_classifierNM1_xml_filepath = result;
- });
- yield return getFilePathAsync_1_Coroutine;
- var getFilePathAsync_2_Coroutine = Utils.getFilePathAsync ("text/trained_classifierNM2.xml", (result) => {
- trained_classifierNM2_xml_filepath = result;
- });
- yield return getFilePathAsync_2_Coroutine;
- getFilePath_Coroutine = null;
- Run ();
- }
- #endif
- private void Run ()
- {
- //if true, The error log of the Native side OpenCV will be displayed on the Unity Editor Console.
- Utils.setDebugMode (true);
- Mat img = Imgcodecs.imread (scenetext01_jpg_filepath);
- #if !UNITY_WSA_10_0
- if (img.empty ()) {
- Debug.LogError ("text/scenetext01.jpg is not loaded. Please copy from “OpenCVForUnity/StreamingAssets/text/” to “Assets/StreamingAssets/” folder. ");
- }
- #endif
- //# for visualization
- Mat vis = new Mat ();
- img.copyTo (vis);
- Imgproc.cvtColor (vis, vis, Imgproc.COLOR_BGR2RGB);
-
-
- //# Extract channels to be processed individually
- List<Mat> channels = new List<Mat> ();
- Text.computeNMChannels (img, channels);
- //# Append negative channels to detect ER- (bright regions over dark background)
- int cn = channels.Count;
- for (int i = 0; i < cn; i++) {
- channels.Add (new Scalar (255) - channels [i]);
- }
- //# Apply the default cascade classifier to each independent channel (could be done in parallel)
- Debug.Log ("Extracting Class Specific Extremal Regions from " + channels.Count + " channels ...");
- Debug.Log (" (...) this may take a while (...)");
- foreach (var channel in channels) {
- ERFilter er1 = Text.createERFilterNM1 (trained_classifierNM1_xml_filepath, 16, 0.00015f, 0.13f, 0.2f, true, 0.1f);
- ERFilter er2 = Text.createERFilterNM2 (trained_classifierNM2_xml_filepath, 0.5f);
- List<MatOfPoint> regions = new List<MatOfPoint> ();
- Text.detectRegions (channel, er1, er2, regions);
- MatOfRect matOfRects = new MatOfRect ();
- Text.erGrouping (img, channel, regions, matOfRects);
- // Text.erGrouping (img, channel, regions, matOfRects, Text.ERGROUPING_ORIENTATION_ANY, Utils.getFilePath ("text/trained_classifier_erGrouping.xml"), 0.5f);
-
- List<OpenCVForUnity.CoreModule.Rect> rects = matOfRects.toList ();
- //#Visualization
- foreach (var rect in rects) {
- Imgproc.rectangle (vis, new Point (rect.x, rect.y), new Point (rect.x + rect.width, rect.y + rect.height), new Scalar (255, 0, 0), 2);
- Imgproc.rectangle (vis, new Point (rect.x, rect.y), new Point (rect.x + rect.width, rect.y + rect.height), new Scalar (255, 255, 255), 1);
- }
-
- }
- Texture2D texture = new Texture2D (vis.cols (), vis.rows (), TextureFormat.RGBA32, false);
- Utils.matToTexture2D (vis, texture);
- gameObject.GetComponent<Renderer> ().material.mainTexture = texture;
- Utils.setDebugMode (false);
- }
-
- // Update is called once per frame
- void Update ()
- {
- }
- /// <summary>
- /// Raises the destroy event.
- /// </summary>
- void OnDestroy ()
- {
- #if UNITY_WEBGL && !UNITY_EDITOR
- if (getFilePath_Coroutine != null) {
- StopCoroutine (getFilePath_Coroutine);
- ((IDisposable)getFilePath_Coroutine).Dispose ();
- }
- #endif
- }
- /// <summary>
- /// Raises the back button click event.
- /// </summary>
- public void OnBackButtonClick ()
- {
- SceneManager.LoadScene ("OpenCVForUnityExample");
- }
- }
- }
- #endif
|