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

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.

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

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”

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

In my case I did a wrong modification in the image.

I was able to find the problem checking the image shape.

print img.shape

Also pay attention to the object type of your numpy array, converting it using .astype('uint8') resolved the issue for me.

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.

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.

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.

You can manually place a check in your code. Like this:

if result != []:
    for face in result:
        bounding_box = face['box']
        x, y, w, h = bounding_box[0], bounding_box[1], bounding_box[2], bounding_box[3]
        rect_face = cv2.rectangle(frame, (x, y), (x+w, y+h), (46, 204, 113), 2)
        face = rgb[y:y+h, x:x+w]
        
        #CHECK FACE SIZE (EXIST OR NOT)
        if face.shape[0]*face.shape[1] > 0:
            
            predicted_name, class_probability = face_recognition(face)

            print("Result: ", predicted_name, class_probability)

I had the same error. Resizing the images resolved the issue. However, I used online tools to resize the images because using pillow to resize them did not solve my problem.

In my case,

image = cv2.imread(filepath)
final_img = cv2.resize(image, size_img)

filepath was incorrect, cv2.imshow didn’t give any error in this case but due to wrong path cv2.resize was giving me error.

I came across the same error message while I was trying to enlarge the image size. Assigning the image type as uint8 did the work for me and I was able to resize the image 30 times of its original size. Here is an example as a reference for anyone else who has such issue.

scale_percent = 3000
width = int(img.shape[1] * scale_percent / 100)
height = int(img.shape[0] * scale_percent /100)

dim = (width, height)
image = cv2.resize(img.astype('uint8'), dim, interpolation=cv2.INTER_AREA)

Same error message for me but issue was different:

The interpolation method ‘INTER_AREA’ was NOT compatible with int8 !

cv2.resize(frame_rgb, tuple([None, None]))

gives similar error. Notice the None values in the resizing tuple.

In my case there were some corrupt or not supported images. What i simple did is just check if it is not None than process it as shown below.

cv2.imread(image_path)
if img is not None:
    cv2.resize(img,(150,150)) # You can give your own desired image size