error: (-215) ssize.width > 0 && ssize.height > 0 in function resize

user_7993917 0
Viewed 45671

I am building an image processing classifier. This line is giving me an error:

input_img_resize=cv2.resize(input_img,(128,128))

The error:

('error: /io/opencv/modules/imgproc/src/imgwarp.cpp:3483: error: (-215) ssize.width > 0 && ssize.height > 0 in function resize')

My code:

PATH = os.getcwd()
# Define data path
data_path = PATH + '/data'
data_dir_list = os.listdir(data_path)

img_rows=128
img_cols=128
num_channel=3
num_epoch=30

num_classes = 67

img_data_list=[]

for dataset in data_dir_list:
    img_list=os.listdir(data_path+'/'+ dataset)
    print ('Loaded the images of dataset-'+'{}\n'.format(dataset))
    for img in img_list:
        input_img=cv2.imread(data_path + '/'+ dataset + '/'+ img )
    
        input_img_resize=cv2.resize(input_img,(128,128))
        img_data_list.append(input_img_resize)
image-resizing machine-learning opencv image-processing python
7 Answers

Well, obviously this line input_img=cv2.imread(data_path + '/'+ dataset + '/'+ img ) returns an empty array.

You should check whether the image exists first before reading. And it is better not to use string combination to join file paths, use python os.path.join instead.

image_path = os.path.join(data_path, dataset, img)
if os.path.exist():
    # Do stuff
user_16351800

Make sure the input_img's resolution is not zero, i.e, (0,0,number_of_channels) which means it is not finding any image. So add the following checking before performing operations on it:

if input_img.shape[0]!=0 and input_img.shape[1]!=0:
    #operations on input_img
user_69074240

If you are working with several images (for example, 1000 images), it may be difficult for you to identify which image is giving you problems. It may also be that, there are several others that are corrupt. In such a case, the code below can be useful. 

for file in filenames:
    try:
        image = cv2.resize(cv2.imread(file), (size, size))
    except:
        print(file)

where filenames is a list which contains names of the images.

user_117853110

You are facing this problem because the image might not have been read properly while scanning. So do make sure tat image is loaded. 

if input_img is not None:
            img = cv2.resize(input_img, (IMG_SIZE,IMG_SIZE))
            training_data.append([np.array(img), np.array(label)])
        else:
            print("image not loaded")


This skips the current image and then continue the scan. This breaks into two segments results as follows: enter image description here
Hope this helps :)

user_80760930

This is because the region of image is not properly identified. Here's one way you can try:

gray = cv2.cvtColor(input_img, cv2.COLOR_BGR2GRAY)
r = cv2.selectROI(gray)
cv2.selectROI()

This will let you to manually select the region of image in each pic if its not detected.

user_102012570

For this error, you can simply use this code. It definitely runs and resolves your problem. I was also facing this error and fixed it with this code.

img = cv2.imread(path + '\\' + img_name)
user_166958780
Related