I'm new to opencv's svm's. I tried a sample classifier but it only returns 0 as the predicted label. I even used the value 5 for training as well as the prediction.
I've been changing the values for about a hundred times but i just don't get what's wrong. I'm using OpenCV 3.0 with Java. Here's my code:
Mat labels = new Mat(new Size(1,4),CvType.CV_32SC1);
labels.put(0, 0, 1);
labels.put(1, 0, 1);
labels.put(2, 0, 1);
labels.put(3, 0, 0);
Mat data = new Mat(new Size(1,4),CvType.CV_32FC1);
data.put(0, 0, 5);
data.put(1, 0, 2);
data.put(2, 0, 3);
data.put(3, 0, 8);
Mat testSamples = new Mat(new Size(1,1),CvType.CV_32FC1);
testSamples.put(0,0,5);
SVM svm = SVM.create();
TermCriteria criteria = new TermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER,100,0.1);
svm.setKernel(SVM.LINEAR);
svm.setType(SVM.C_SVC);
svm.setGamma(0.5);
svm.setNu(0.5);
svm.setC(1);
svm.setTermCriteria(criteria);
//data is N x 64 trained data Mat , labels is N x 1 label Mat with integer values;
svm.train(data, Ml.ROW_SAMPLE, labels);
Mat results = new Mat();
int predictedClass = (int) svm.predict(testSamples, results, 0);
Even if i change the lables to 1 and 2, I still get 0.0 as a response. So something has to be absolutely wrong... I just don't know what to do. Please help! :)
I had a similar problem in C++. I'm not too sure if it's the same in Java but in C++ the predictions were saved in the results Matrix instead of returned as a float.
Related
I am using template matching on openCV java to identify if a subimage exist in larger image. I want to get coordinates of match only if exact subimage is available in larger image. I am using this code but getting a lot of false positive. Attached is the subimage and larger image. Subimage is not present in larger image but i am getting match at (873,715) larger image subimage
public void run(String inFile, String templateFile, String outFile,
int match_method) {
System.out.println("Running Template Matching");
Mat img = Imgcodecs.imread(inFile);
Mat templ = Imgcodecs.imread(templateFile);
// / 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 and Normalize
Imgproc.matchTemplate(img, templ, result, match_method);
// Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new
// Mat());
Imgproc.threshold(result, result, 0.1, 1.0, Imgproc.THRESH_TOZERO);
// / Localizing the best match with minMaxLoc
MinMaxLocResult mmr = Core.minMaxLoc(result);
Point matchLoc;
if (match_method == Imgproc.TM_SQDIFF
|| match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
} else {
matchLoc = mmr.maxLoc;
}
double threashhold = 1.0;
if (mmr.maxVal > threashhold) {
System.out.println(matchLoc.x+" "+matchLoc.y);
Imgproc.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(),
matchLoc.y + templ.rows()), new Scalar(0, 255, 0));
}
// Save the visualized detection.
Imgcodecs.imwrite(outFile, img);
}
Here is an answer of the same question: Determine if an image exists within a larger image, and if so, find it, using Python
You will have to convert the python code to Java
I am not familiar with OpenCV in Java but OpenCV C++.
I don't think following code is necessary.
Imgproc.threshold(result, result, 0.1, 1.0, Imgproc.THRESH_TOZERO);
The min/max values of 'Mat result' will be between -1 and 1 if you uses normalized option. Therefore, your following code will not work because your threshold is 1.0 if you use normalized option.
if (mmr.maxVal > threshold)
Also, if you use CV_TM_SQDIFF, above code should be
if (mmr.minVal < threshold)
with proper threshold.
How about drawing minMaxLoc before comparing minVal/maxVal with threshold? to see it gives correct result? because match at (873,715) is ridiculous.
I am trying to use K-means JavaCV implementation, but I have the following error:
OpenCV Error: Assertion failed (!centers.empty()) in cvKMeans2, file src\matrix.cpp, line 4233
My source code is:
IplImage src = cvLoadImage(fileName, CV_LOAD_IMAGE_COLOR);
int cluster_count = 3;
int attempts = 10;
CvTermCriteria termCriteria = new CvTermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER, 10, 1.0);
cvReshape(src, src.asCvMat(), 1, src.height() * src.width());
IplImage samples = cvCreateImage(cvGetSize(src), src.depth(), 1);
cvConvertImage(src, samples, CV_32F);
IplImage labels = cvCreateImage(new CvSize(samples.height()), 1, CV_8U);
IplImage centers = cvCreateImage(new CvSize(cluster_count), 1, CV_32F);
cvKMeans2(samples, cluster_count, labels, termCriteria, 1, new long[attempts], KMEANS_RANDOM_CENTERS, centers, new double[attempts]);
I'm beginner on JavaCV and would to know what I doing wrong in this code?
I exported many CalcHist mat-values into a file and build an average of the values. Now I want to import it back into my Java Programm (static in the Code or import as file, it doesn't matter) to compare the calculated average hist with a hist of an given Image. The problem is that I don't know how to import the values into a Mat variable.
Example hist-values:
[680.365; 898.065; 583.155; 971.535; 454.825; 202.34; 213.26; 316.98; 449.765; 9902.57; 357078.595; 1292.21; 521.705; 157.985; 109.985; 137.685; 301.395; 127.58; 0; 0; 0; 0; 0; 0]
If I implement it as a static value with MatOfDouble (I don't have an idea to do it in another way) like this:
MatOfDouble averageHist= new MatOfDouble(680.365, 898.065, 583.155, 971.535, 454.825, 202.34, 213.26, 316.98, 449.765, 9902.57, 357078.595, 1292.21, 521.705, 157.985, 109.985, 137.685, 301.395, 127.58, 0, 0, 0, 0, 0, 0);
I can use the variable for a compareHist like this:
double res= Imgproc.compareHist(baseHist, averageHist, Imgproc.CV_COMP_CORREL);
and compile it, but at runtime it will throw a exception.
the programm works, if I only use Mat values that I directly get from calchists like the variable baseHist, but for averageHist I want to put it static in the Code or read it from a file.
I tried to cast the MatOfDouble into a normal Mat like this:
Mat averSunnyHistCast = new Mat();
averSunnyHistCast = (Mat) averageHist;
but it doesn't help.
this is the error:
CvException [org.opencv.core.CvException: cv::Exception: C:\builds\master_PackSlaveAddon-win64-vc12-static\opencv\modules\imgproc\src\histogram.cpp:2281: error: (-215) H1.type() == H2.type() && H1.depth() == CV_32F in function cv::compareHist
thanks for your help!
This post helped: OpenCV How to initialize Mat with 2D array in JAVA
I wrote my values static in an array, after that I added each value into the Mat variable with the put method.
double[] dblArr = {650, 1230, 257, 66, 38, 19, 20, 33, 75, 15617, 350640, 2737, 1251, 547, 325, 328, 417, 150, 0, 0, 0, 0, 0, 0, 0};
Mat averageHist = new Mat(25, 1, CvType.CV_32F);
for (int i=0; i<25; i++){
averSunny200.put(i, 0, dblArr[i]);
}
After decoding an image this way Iam passing it to a read file
Bitmap croppedBitmap = Bitmap.createBitmap(bitmap, 5, 5, bitmap.getWidth() - 10, bitmap.getHeight() - 10,matrix,true);
System.out.println("The new cropped bitmap>>>>>>>>>>>>>" + croppedBitmap.getWidth() + "<<<>>>>" +croppedBitmap.getHeight());
this.bmp = croppedBitmap;
Readfile.readBitmap(bitmap)
Now I am processing and binarizing an image this way.
Pix var2 = Binarize.otsuAdaptiveThreshold(var1);
var2 = Rotate.rotate(AdaptiveMap.backgroundNormMorph(Convert.convertTo8(var1), 8, 6, 250), Skew.findSkew(var2));
The above algorithm does a good job on the background service and produces the result but my present challenge is that it takes such a long time (40 seconds) to process the image. So my intention is to process and binarize the image at 10 seconds that made me arrive by the approach above, so am asking is there a way I can decrease the processing time to about 10 seconds.
Thanks!
Been trying to get inpainting to work on Android,
int height = (int) viewMat.size().height;
int width = (int) viewMat.size().width;
Mat maskMat = new Mat();
maskMat.create(viewMat.size(), CvType.CV_8U);
maskMat.setTo(bColor);
Point r1 = new Point(width/2-width/10, height/2-height/10);
Point r2 = new Point(width/2+width/10, height/2+height/10);
Scalar color = new Scalar(1);
Core.rectangle(maskMat, r1, r2, color, Core.FILLED);
outMat.create(viewMat.size(), CvType.CV_8UC3);
viewMat.convertTo(outMat, CvType.CV_8UC3);
Photo.inpaint(outMat, maskMat, outMat, 1, Photo.INPAINT_TELEA);
Was greeted with,
Caused by: CvException [org.opencv.core.CvException: /home/reports/ci/slave_desktop/50-SDK/opencv/modules/photo/src/inpaint.cpp:744:
error: (-210) Only 8-bit 1-channel and 3-channel input/output images are supported in function void cvInpaint(const CvArr*, const CvArr*, CvArr*, double, int)
in logcat.
Been trying for hours creating Mats in various ways but to no valid.
CV_8U = 8 bit per channel, 1 channel. Right?
CV_8UC3 = 8 bit per channel, 3 channels. Right?
So what am I missing? I'm totally stumped.
...
Point r2 = new Point(width/2+width/10, height/2+height/10);
Scalar color = new Scalar(1);
Core.rectangle(maskMat, r1, r2, color, Core.FILLED);
Imgproc.cvtColor(viewMat, outMat, Imgproc.COLOR_RGBA2RGB);
Photo.inpaint(outMat, maskMat, outMat, 1, Photo.INPAINT_TELEA);
...
Turned out it was simply a matter of getting rid of the alpha channel via color conversion.
Image Inpaint Using OpenCv Android Studio
ImgMat = Mat()
Maskmat = Mat()
destmat=Mat()
Utils.bitmapToMat(BitmapImage, ImgMat)
Utils.bitmapToMat(BitmapMask, Maskmat)
Imgproc.cvtColor(ImgMat, ImgMat, Imgproc.COLOR_RGB2XYZ)
Imgproc.cvtColor(Maskmat, Maskmat, Imgproc.COLOR_BGR2GRAY)
Photo.inpaint(ImgMat,Maskmat,destmat, 15.0, INPAINT_NS)
InpaintBitmap= Bitmap.createBitmap(BitmapImage.getWidth(),
BitmapImage.getHeight(),
Bitmap.Config.ARGB_8888)
Imgproc.cvtColor(destmat, destmat, Imgproc.COLOR_XYZ2RGB);
Utils.matToBitmap(destmat, InpaintBitmap)
Description:
InpaintBitmap is an Inpaint color Bitmap
src image is a 3 channel image but mask bitmap is a 1 channel image