peak@opencv's profile - activity

Using this: https://github.com/vascozzz/AugmentedCards

Thanks for your answer. I understand your point. I trained the system with a well-lit photo of all playing cards. Of cou

Normalize light Using a webcam. With optimized light (by trial and error) for OpenCV it recognize what it should, in thi

Normalize light Using a camera. With optimized light (by trial and error) for OpenCV it recognize what it should, in thi

Normalize light With optimized light (by trial and error) for OpenCV it recognize what it should, in this case playing c

I did that (you see the old code) and it's working now. Thank You!

    BYTE *g_image; // byte array for the jpg picture from the camera
    // <allocate g_image, read from camera to g_image>
    // g_image now contains a jpg image of approx 40 000 bytes and displays ok if saved to file
    //
    Mat image;
    image = imdecode((InputArray)g_image, CV_LOAD_IMAGE_UNCHANGED); // Error here, unhandled exeption from OpenCV
    imshow("video", image);

I did that

Cannot paste code. Formats ugly regardless of code window or not

Well, as I said, casting the (byte) buffer to InputArray throws an error: OpenCV Error: Assertion failed (0 <= i && i < (int)v.size()) in cv::_InputArray

From an IP camera I've read in a jpg image to a buffer in memory. If I write this buffer to a file "picture.jpg", I can open it directly in Windows. I can also open the file with OpenCV: Mat image; image = imread("picture.jpg"); imshow("video", image);

Is there a way to directly pass the memory buffer to OpenCV? Casting it to InputArray ends in error.

Best regards, Peak