Bdtjtk

I'm using OpenCV 3.0.0 and Python 3.4.3 to process a very large RGB image (107162,79553,3). While I'm trying to resize it using the following code:

import cv2

image = cv2.resize(img, (0,0), fx=0.5, fy=0.5, interpolation=cv2.INTER_AREA)

I had this error message coming up :

"cv2.error: C:opencv-3.0.0sourcemodulesimgprocsrcimgwarp.cpp:3208: error: (-215) ssize.area() > 0 in function cv::resize"

I'm certain there is image content in the image array because I can save them into small tiles in jpg format. When I try to resize just a small part of the image, there is no problem and I end up with correctly resized image. (Taking a rather big chunk (50000,50000,3) still won't work, but it will work on a (10000,10000,3) chunk)

I'm wondering what could cause this problem and how I can solve this?

Thanks

So it turns out that the problem comes from one line in modulesimgprocsrcimgwarp.cpp:

CV_Assert( ssize.area() > 0 );

When the product of rows and columns of the image to be resized is larger than 2^31, ssize.area() results in a negative number. This appears to be a bug in OpenCV and hopefully will be fixed in the future release. A temporary fix is to build OpenCV with this line commented out. While not ideal, it works for me.

And I just recently found out that the above applies only to image whose width is larger than height. For images with height larger than width, it's the following line that causes error:

CV_Assert( dsize.area() > 0 );

So this has to be commented out as well.

Turns out for me this error was actually telling the truth - I was trying to resize a Null image, which was usually the 'last' frame of a video file, so the assertion was valid.

Now I have an extra step before attempting the resize operation, which is to do the assertion myself:

def getSizedFrame(width, height):

"""Function to return an image with the size I want"""    

    s, img = self.cam.read()



    # Only process valid image frames

    if s:

            img = cv2.resize(img, (width, height), interpolation = cv2.INTER_AREA)

    return s, img

Now I don't see the error.

I know this is a very old thread but I had the same problem which was due spaces in the images names.

e.g.

Image name: "hello o.jpg"

weirdly, by removing the spaces the function worked just fine.

Image name: "hello_o.jpg"

For me the following work-around worked:

• split the array up into smaller sub arrays


• resize the sub arrays


• merge the sub arrays again

Here the code:

def split_up_resize(arr, res):

    """

    function which resizes large array (direct resize yields error (addedtypo))

    """



    # compute destination resolution for subarrays

    res_1 = (res[0], res[1]/2)

    res_2 = (res[0], res[1] - res[1]/2)



    # get sub-arrays

    arr_1 = arr[0 : len(arr)/2]

    arr_2 = arr[len(arr)/2 :]



    # resize sub arrays

    arr_1 = cv2.resize(arr_1, res_1, interpolation = cv2.INTER_LINEAR)

    arr_2 = cv2.resize(arr_2, res_2, interpolation = cv2.INTER_LINEAR)



    # init resized array

    arr = np.zeros((res[1], res[0]))



    # merge resized sub arrays

    arr[0 : len(arr)/2] = arr_1

    arr[len(arr)/2 :] = arr_2



    return arr

This type of error also takes place because the resize is unable to get the image in simple
the directory of the image may be wrong.In my case I left the forward slash during providing the location of file and this error took place after I put the slash problem was solved.