CODEWITHSUNDEEP
c++opencv
anti
anti

Reputation: 3125

OpenCv, get image information

I am playing around with an open source openCv application. With the provided image sets, it works great, but when I attempt to pass it a live camera stream, or even recorded frames from that camera stream, it crashes. I assume that this is to do with the cv::Mat type, differing image channels, or some conversion that i am not doing.

The provided dataset is grey-scale, 8 bit, and so are my images. The application expects grayscale (CV_8U).

My question is:

Given one of the (working) provided images, and one of my recorded (not working) images, what is the best way to compare them using opencv, to find out what the difference might be that is causing my crashes?

Thank you.

I have tried:

Commenting out this code (Which gave assertion errors)

  if(mImGray.channels()==3)
    {

            cvtColor(mImGray,mImGray,CV_BGR2GRAY);
            cvtColor(imGrayRight,imGrayRight,CV_BGR2GRAY);

    }
    else if(mImGray.channels()==4)
    {

            cvtColor(mImGray,mImGray,CV_BGRA2GRAY);
            cvtColor(imGrayRight,imGrayRight,CV_BGRA2GRAY);

    }

And replacing it with:

    cv::Mat TempL;
    mImGray.convertTo(TempL, CV_8U);
    cvtColor(TempL, mImGray, CV_BayerGR2BGR);
    cvtColor(mImGray, mImGray, CV_BGR2GRAY);

And the program crashes with no error...

Upvotes: 0

Views: 1739

Answers (1)

user5873509
user5873509

Reputation:

You can try this code:

if ( mImGray.depth() != CV_8U )
    mImGray.convertTo(mImGray, CV_8U);

if (mImGray.channels() == 3 )
{
   cvtColor(mImGray, mImGray, COLOR_BGR2GRAY);
}

Or you can define a new Mat with create function and use that.

Upvotes: 2

Related Questions