krshrimali's profile - activity

Well, the MSCN image output is not shared in the paper, but I'll share the link soon. As far as the plot is concerned,

Agreed, specially the otsu threshold and gray conversion method. Color doesn't help here, most probably. The best way wo

Gaussian Fitting an image in OpenCV Hey! So the thing is, I am trying to plot a gaussian fit of an image in OpenCV usin

Ohkay, is there any possibility of a slight difference in Gaussian Blur of C++ and Python?

Thanks @berak, well, I was unsure about the subtraction order, so I included abs for that. If I remove that, it also wor

Difference in same operations between Python and C++ OpenCV Code I've been working on BRISQUE IQA for Python and C++ for

Difference in same operations between Python and C++ OpenCV Code I've been working on BRISQUE IQA for Python and C++ for

Difference in same operations between Python and C++ OpenCV Code I've been working on BRISQUE IQA for Python and C++ for

Thanks @berak!

Oh! Thanks for clearing the confusion.

So this means, that there are 2 classes, positive and negative (1024 and -1024) and there are 6 distortions (jpeg, jpeg2

So this means, that there are 2 classes, positive and negative (1024 and -1024) and there are 6 features (jpeg, jpeg2k,

nr_class in allmodel says 2... Hmm, need to recheck what are the 2 classes then.

2 classes? I guess there are 6 classes.

Oh! Yes, @berak ... I think this is a better idea compared to what other options I've. Thanks again for your help and ti

@berak have shared the link. https://github.com/krshrimali/Image-Metrics-BRISQUE

@berak https://github.com/krshrimali/Image-Metrics-BRISQUE Please also note that looks like I've to retrain the model,

Hello again @berak. Well, I've taken database from http://live.ece.utexas.edu/research/Quality/subjective.htm and classe

Using Regressor along with OpenCV SVM Class There is a function from old libsvm module: score = svm_predict_probabil

Using Regressor along with OpenCV SVM Class There is a function from old libsvm module: score = svm_predict_probabil

Using Regressor along with OpenCV SVM Class There is a function from old libsvm module: score = svm_predict_probabil

Ahh, I get that :D That's really a lot of work. Well, yes, brisque features you linked. I'll upload it on GitHub soon.

Well I have updated the code, but don't know why the outputs of both the codes are different. Mind if I share with you

If I want to return the modified image, I can return that image and store in another function, right? Mat img_new = fun

Actually the source code is too long (https://github.com/RentTheRunway/Eigenstyle/tree/master/brisque_revised) - Am tryi

I have the following lines of code in C API :

  IplImage *imdist_scaled = cvCreateImage(cvSize(orig_bw->width/pow((double)2,itr_scale-1), orig_bw->height/pow((double)2,itr_scale-1)), IPL_DEPTH_64F, 1);
    cvResize(orig_bw, imdist_scaled,CV_INTER_CUBIC);

And I've converted it into C++ API as :

Mat imdist_scaled(Size(orig_bw.cols/cv::pow((double)2, itr_scale-1), orig_bw.rows/pow((double)2, itr_scale-1)), CV_64F, 1);

  resize(orig_bw, imdist_scaled, imdist_scaled.size(), 0, 0, INTER_CUBIC); // INTER_CUBIC
  imdist_scaled.convertTo(imdist_scaled, CV_64FC1); // if not done, then it shows error in later steps
  // depth == 5 || 6 check error in pow function

In first case, when I try to show the image to the screen (imdist_scaled) - it shows me resized image. But in the second case, when I do the same, it shows a blank white image.

When I check the output without using convertTo command, then it works but in the later steps it says depth error, and thus I've converted it to 64F depth, which unfortunately leads it to be a blank white image.

Also note that I've verified orig_bw.cols, orig_bw.rows etc. have correct outputs.

Here orig_bw is a sample image I'm taking.

Why would that be?

Thanks @berak. Have one more doubt, in functions, there is IplImage* object being passed. I'm passing Mat object then.

https://stackoverflow.com/a/12851341

https://stackoverflow.com/a/12851341

Conversion of C API to C++ API problem I have the following lines of code in C API : IplImage *imdist_scaled = cvCre

Conversion of C API to C++ API problem I have the following lines of code in C API : IplImage *imdist_scaled = cvCre

Conversion of C API to C++ API problem I have the following lines of code in C API : IplImage *imdist_scaled = cvCre

Conversion of C API to C++ API problem I have the following lines of code in C API : IplImage *imdist_scaled = cvCre

Conversion of C API to C++ API problem I have the following lines of code in C API : IplImage *imdist_scaled = cvCre

Okay it works fine now. Thanks, @berak !

I think I get the mistake, I have done a mistake giving values to pupils. Will correct that and let you know. Thanks!