Is any one know how i can convert Mat to IplImage ?
to achieve this i have converted Mat to BufferedImage but again not able to find conversion in BufferedImage to IplImage.
is there any way where i can convert Mat to IplImage?
Thanks
I believe you can convert BufferedImage to IplImage as follows.
public static IplImage toIplImage(BufferedImage src) {
Java2DFrameConverter bimConverter = new Java2DFrameConverter();
OpenCVFrameConverter.ToIplImage iplConverter = new OpenCVFrameConverter.ToIplImage();
Frame frame = bimConverter.convert(src);
IplImage img = iplConverter.convert(frame);
IplImage result = img.clone();
img.release();
return result;
}
I got this from this question. Try this for now. I'll check if direct conversion is possible.
UPDATE:
Please have a look at this api docs. I haven't tested the following. Wrote it just now. Please do try and let me know.
public static IplImage toIplImage(Mat src) {
OpenCVFrameConverter.ToIplImage iplConverter = new OpenCVFrameConverter.ToIplImage();
OpenCVFrameConverter.ToMat matConverter = new OpenCVFrameConverter.ToMat();
Frame frame = matConverter.convert(src);
IplImage img = iplConverter.convert(frame);
IplImage result = img.clone();
img.release();
return result;
}
Related
In my work I have to get image matrix from the encoded string of an image.
I am using OpenCV and JAVA.
Can anyone tell me how to do this?
Code:
BufferedImage originalImage;
try {
originalImage = ImageIO.read(new File("D:\\testimg.jpg"));
ByteArrayOutputStream baos = new ByteArrayOutputStream();
ImageIO.write(originalImage, "jpeg", baos);
baos.flush();
imageInByte = baos.toByteArray();
baos.close();
String imageDataString = encodeImage(imageInByte);
} catch (IOException e) {
e.printStackTrace();
} catch (Exception ex){
ex.printStackTrace();
}
Now I have the string of image.
The imread() of opencv takes filepath as input param and create Mat, but I have to create the Mat from this imageDataString .
Thanks,
Surodip
The opencv function used to decode images from its encoded forms is imdecode. See http://docs.opencv.org/modules/highgui/doc/reading_and_writing_images_and_video.html
try this code to convert base64 string to mat object in opencv java
byte[] imgbytes = DatatypeConverter.parseBase64Binary(fileBase64);
Mat image = Imgcodecs.imdecode(new MatOfByte(imgbytes), Imgcodecs.CV_LOAD_IMAGE_UNCHANGED);
you can try this
File image = new File("assets/imageparser/imageA.jpg");
BufferedImage buffImage = ImageIO.read(image);
byte[] data = ((DataBufferByte) buffImage.getRaster().getDataBuffer()).getData();
Mat mat = new Mat(buffImage.getHeight(), buffImage.getWidth(), CvType.CV_8UC3);
mat.put(0, 0, data);
I am trying to save an OpenCV image to the hard drive.
Here is what I tried:
public void SaveImage (Mat mat) {
Mat mIntermediateMat = new Mat();
Imgproc.cvtColor(mRgba, mIntermediateMat, Imgproc.COLOR_RGBA2BGR, 3);
File path =
Environment.getExternalStoragePublicDirectory(
Environment.DIRECTORY_PICTURES);
String filename = "barry.png";
File file = new File(path, filename);
Boolean bool = null;
filename = file.toString();
bool = Highgui.imwrite(filename, mIntermediateMat);
if (bool == true)
Log.d(TAG, "SUCCESS writing image to external storage");
else
Log.d(TAG, "Fail writing image to external storage");
}
}
Can any one show how to save that image with OpenCV 2.4.3?
Your question is a bit confusing, as your question is concerning OpenCV on the desktop, but your code is for Android, and you ask about IplImage, but your posted code is using C++ and Mat. Assuming you're on the desktop using C++, you can do something along the lines of:
cv::Mat image;
std::string image_path;
//load/generate your image and set your output file path/name
//...
//write your Mat to disk as an image
cv::imwrite(image_path, image);
...Or for a more complete example:
void SaveImage(cv::Mat mat)
{
cv::Mat img;
cv::cvtColor(...); //not sure where the variables in your example come from
std::string store_path("..."); //put your output path here
bool write_success = cv::imwrite(store_path, img);
//do your logging...
}
The image format is chosen based on the supplied filename, e.g. if your store_path string was "output_image.png", then imwrite would save it was a PNG image. You can see the list of valid extensions at the OpenCV docs.
One caveat to be aware of when writing images to disk with OpenCV is that the scaling will differ depending on the Mat type; that is, for floats the images are expected to be within the range [0, 1], while for say, unsigned chars they'll be from [0, 256).
For IplImages, I'd advise just switching to use Mat, as the old C-interface is deprecated. You can convert an IplImage to a Mat via cvarrToMat then use the Mat, e.g.
IplImage* oldC0 = cvCreateImage(cvSize(320,240),16,1);
Mat newC = cvarrToMat(oldC0);
//now can use cv::imwrite with newC
alternately, you can convert an IplImage to a Mat just with
Mat newC(oldC0); //where newC is a Mat and oldC0 is your IplImage
Also I just noticed this tutorial at the OpenCV website, which gives you a walk-though on loading and saving images in a (desktop) environment.
Trying to figure out a way to gather the confidence level when it actually does the face recognizing on the target image. I have searched through a few examples but haven't found anything I can see how to implement. All help appreciated, thanks guys.
public static void facecompare() {
String trainingDir = "C:/TrainingDirectory"; //training directory
IplImage testImage = cvLoadImage("C:/TargetImages/boland_straight_happy_open_4.pgm"); //the target image
File root = new File(trainingDir);
FilenameFilter pngFilter = new FilenameFilter() {
public boolean accept(File dir, String name) {
return name.toLowerCase().endsWith(".pgm");
}
};
File[] imageFiles = root.listFiles(pngFilter);
MatVector images = new MatVector(imageFiles.length);
int[] labels = new int[imageFiles.length];
int counter = 0;
int label;
IplImage img;
IplImage grayImg;
for (File image : imageFiles) {
img = cvLoadImage(image.getAbsolutePath());
label = Integer.parseInt(image.getName().split("\\-")[0]);
grayImg = IplImage.create(img.width(), img.height(), IPL_DEPTH_8U, 1);
cvCvtColor(img, grayImg, CV_BGR2GRAY);
images.put(counter, grayImg);
labels[counter] = label;
counter++;
}
IplImage greyTestImage = IplImage.create(testImage.width(), testImage.height(), IPL_DEPTH_8U, 1);
// FaceRecognizer faceRecognizer = createFisherFaceRecognizer();
// FaceRecognizer faceRecognizer = createEigenFaceRecognizer();
FaceRecognizer faceRecognizer = createLBPHFaceRecognizer();
faceRecognizer.train(images, labels);
cvCvtColor(testImage, greyTestImage, CV_BGR2GRAY);
int predictedLabel = faceRecognizer.predict(greyTestImage);
System.out.println("Predicted label: " + predictedLabel);
}
There is another predict method that returns the confidence:
// pointer-like output parameters
// only the first element of these arrays will be changed
int[] plabel = new int[1];
double[] pconfidence = new double[1];
faceRecognizer.predict(greyTestImage, plabel, pconfidence);
int predictedLabel = plabel[0];
double confidence = pconfidence[0];
I have the following code:
IplImage* f( IplImage* src )
{
// Must have dimensions of output image
IplImage* cropped = cvCreateImage( cvSize(1280,500), src->depth, src->nChannels );
// Say what the source region is
cvSetImageROI( src, cvRect( 0,0, 1280,500 ) );
// Do the copy
cvCopy( src, cropped );
cvResetImageROI( src );
return cropped;
}
void testApp::setup(){
img.loadImage("test.jpg");
finder.setup("haarcascade_frontalface_default.xml");
finder.findHaarObjects(img);
}
//--------------------------------------------------------------
void testApp::update(){
}
//--------------------------------------------------------------
ofRectangle cur;
void testApp::draw(){
img = f(img);
img.draw(0, 0);
ofNoFill();
for(int i = 0; i < finder.blobs.size(); i++) {
cur = finder.blobs[i].boundingRect;
ofRect(cur.x-20, cur.y-20, cur.width+50, cur.height+50);
}
}
It produces an error. I think it's because I don't convert IplImage to ofImage. Can someone please tell me how to do it?
I would imagine that your instance of img, that your passing to f(), is an instance of ofxCVImage or similar. As far as I know ofx store a protected variable of iplimage, as such you can't cast ofxCVImage to an iplimage.
You might try
img = f(img.getCvImage()) // ofxCvImage::getCvImage() returns IplImage
I want to implement bag of words in opencv. after detector->detect(img, keypoint); detects keypoints, when i want to clean keypoints using keypoint.clear(); or when the function wants to return the following error will be appeared.
"Unhandled exception at 0x011f45bb in BOW.exe: 0xC0000005: Access violation reading location 0x42ebe098."
and also detected keypoints have bizarre points coordinates like cv::Point_ pt{x=-1.5883997e+038y=-1.5883997e+038 }
Part of the code
Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("FlannBased");
Ptr<DescriptorExtractor> extractor = new SurfDescriptorExtractor();
Ptr<FeatureDetector> detector = new SurfFeatureDetector(2000);
void extractTrainingVocabulary() {
IplImage *img;
int i,j;
CvSeq *imageKeypoints = 0;
for(j=1;j<=60;j++)
for(i=1;i<=60;i++){
sprintf( ch,"%d%s%d%s",j," (",i,").jpg");
const char* imageName = ch;
Mat img = imread(ch);
vector<KeyPoint> keypoint;
detector->detect(img, keypoint);
Mat features;
extractor->compute(img, keypoint, features);
bowTrainer.add(features);
keypoint.clear();//problem
}
return;
}
I noticed something about your code, on extractTrainingVocabulary() you declare IplImage* img; and inside the loop you declare another variable with the same name (but different type): Mat img = imread(ch);.
Even though that might not be the problem, it's certainly not good practice. I would fix that immediately and update the code on your question.