56926bc8b4a158e1c40cddbc795303bc6a66f44d,semantic-segmentation/deeplabv3plus/image_preprocess.py,,resize,#Any#Any#,28

Before Change

def resize(image, desired_size):

    old_size = image.shape[:2]  // old_size is in (height, width) format
    ratio = float(desired_size)/max(old_size)
    new_size = tuple([int(x*ratio) for x in old_size])

    // new_size should be in (width, height) format
    image = cv2.resize(image, (new_size[1], new_size[0]))

After Change

def resize(image, desired_size):

    old_size = image.shape[:2]  // old_size is in (height, width) format
    ratio = min(np.divide(desired_size, old_size))
    new_size = (int(old_size[0]*ratio), int(old_size[1]*ratio))

    // new_size should be in (width, height) format
    if image.shape[2] == 1:
        image = cv2.resize(
            image, (new_size[1], new_size[0]), interpolation=cv2.INTER_NEAREST)
        return image
    image = cv2.resize(image, (new_size[1], new_size[0]))

    return image

Instances