我在OpenCV
中编写了一个Netbeans
模板匹配类,并且在JVM
中运行良好。
我只想将其转到android应用程序。但是我之前对Android编程不感兴趣。因此,我阅读了教程,并确定IntentService
对于我的目标而言是不错的选择。因为我不希望任何UI只处理图像并获取结果图像。
我终于将OpenCV
导入我的简单Android项目。 Template Matching
在JVM
中运作良好,但在Android中出现错误。只是我更改了Android的图像文件路径形式。并在JVM
中使用相同的图像文件。
-编辑-
我将图像文件复制到Android虚拟设备下载文件夹。我用虚拟设备对其进行了测试。
让我分享我的代码和结果;
MyService.java(Android Studio)
import android.content.Intent;
import android.app.IntentService;
import org.opencv.core.Core;
import org.opencv.core.Core.MinMaxLocResult;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class MyService extends IntentService {
public MyService() {
super("MyService");
}
@Override
protected void onHandleIntent(Intent workIntent) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Mat img = Imgcodecs.imread("/sdcard/Download/bigpicture.png");
Mat templ = Imgcodecs.imread("/sdcard/Download/template.png");
String outFile = "/sdcard/Download/result.png";
// Create the result matrix
int result_cols = img.cols() - templ.cols() + 1;
int result_rows = img.rows() - templ.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
// Do the Matching Normalize and Perform the template matching operation
Imgproc.matchTemplate(img, templ, result, 3);
// Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
Imgproc.threshold(result, result,0.98,1,Imgproc.THRESH_TOZERO);
// Localizing the best match with minMaxLoc. We localize the minimum and maximum values in the result matrix R by using minMaxLoc.
Point matchLoc;
Point maxLoc;
Point minLoc;
MinMaxLocResult mmr;
while(true)
{
mmr = Core.minMaxLoc(result);
matchLoc = mmr.maxLoc;
if(mmr.maxVal >= 0.997)
{
Imgproc.rectangle(img, matchLoc,
new Point(matchLoc.x + templ.cols(),matchLoc.y + templ.rows()),
new Scalar(0,255,0));
Imgproc.rectangle(result, matchLoc,
new Point(matchLoc.x + templ.cols(),matchLoc.y + templ.rows()),
new Scalar(0,255,0),-1);
System.out.println(matchLoc.x + "---" + matchLoc.y);
//break;
}
else
{
break; //No more results within tolerance, break search
}
}
Imgcodecs.imwrite(outFile, img);
}
}
MainActivity.java(Android Studio)
import android.content.Intent;
import android.app.Activity;
import android.os.Bundle;
public class MainActivity extends Activity {
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
Intent intent = new Intent(MainActivity.this, MyService.class);
startService(intent);
}
}
结果
E/cv::error(): OpenCV Error: Assertion failed (corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1) in void cv::crossCorr(const cv::Mat&, const cv::Mat&, cv::Mat&, cv::Size, int, cv::Point, double, int), file /builds/master_pack-android/opencv/modules/imgproc/src/templmatch.cpp, line 658
E/org.opencv.imgproc: imgproc::matchTemplate_11() caught cv::Exception: /builds/master_pack-android/opencv/modules/imgproc/src/templmatch.cpp:658: error: (-215) corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1 in function void cv::crossCorr(const cv::Mat&, const cv::Mat&, cv::Mat&, cv::Size, int, cv::Point, double, int)
E/AndroidRuntime: FATAL EXCEPTION: IntentService[MyService]
Process: com.lacrymae.bapplication, PID: 6565
CvException [org.opencv.core.CvException: cv::Exception: /builds/master_pack-android/opencv/modules/imgproc/src/templmatch.cpp:658: error: (-215) corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1 in function void cv::crossCorr(const cv::Mat&, const cv::Mat&, cv::Mat&, cv::Size, int, cv::Point, double, int)
]
at org.opencv.imgproc.Imgproc.matchTemplate_1(Native Method)
at org.opencv.imgproc.Imgproc.matchTemplate(Imgproc.java:2105)
at com.lacrymae.bapplication.MyService.onHandleIntent(MyService.java:36)
at android.app.IntentService$ServiceHandler.handleMessage(IntentService.java:65)
at android.os.Handler.dispatchMessage(Handler.java:102)
at android.os.Looper.loop(Looper.java:135)
at android.os.HandlerThread.run(HandlerThread.java:61)
答案 0 :(得分:0)
确保matchTemplate()的所有参数的大小和类型都正确。 从OpenCV文档中:
image –运行搜索的图像。它必须是8位或32位浮点。
templ –搜索的模板。它必须不大于源图像并且具有相同的数据类型。
因此,请确保您的投资回报率是类型(8位或32位浮点数)。 还要检查图像是否正确打开,因为如果模板太小会出现该错误。
答案 1 :(得分:0)
-已解决-
问题1
AndroidManifest.xml需要这样的权限;
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
问题2
文件路径错误并已更改;
Mat img = Imgcodecs.imread("/sdcard/Download/bigpicture.png");
Mat templ = Imgcodecs.imread("/sdcard/Download/template.png");
String outFile = "/sdcard/Download/result.png";
到
String path = Environment.getExternalStorageDirectory().getPath();
Mat img = Imgcodecs.imread(path + "/Download/bigpicture.png");
Mat templ = Imgcodecs.imread(path + "/Download/template.png");
String outFile = path + "/Download/result.png";
感谢您的关注和努力。