OpenCV resize fails on large image with “error: (-215) ssize.area() > 0 in function cv::resize”

Question

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         


        

Answer 1

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.

Answer 2

I was working with 3 files: The python script, the image, and the trained model.

Everything worked when I moved these 3 files into their own folder instead of in the directory with the other python scripts.

Answer 3

I am having OpenCV version 3.4.3 on MacOS. I was getting the same error as above.

I changed my code from

frame = cv2.resize(frame, (0,0), fx=0.5, fy=0.5)   

to

frame = cv2.resize(frame, None, fx=0.5, fy=0.5)    

Now its working fine for me.

Answer 4

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"

Answer 5

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

Answer 6

Turns out I had a .csv file at the end of the folder from which I was reading all the images. Once I deleted that it worked alright

Make sure that it's all images and that you don't have any other type of file