arskrald/AR-3/Assets/OpenCVForUnity/Examples/ContribModules/text/TextExample/TextDetectionExample.cs

164 lines
6.2 KiB
C#
Executable File

#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