164 lines
6.2 KiB
C#
164 lines
6.2 KiB
C#
|
#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
|