opencv_resize.py

resize_image_with_opencv.py

import cv2

def resize(fp: str, scale: Union[float, int]) -> np.ndarray:
    """ Resize an image maintaining its proportions

    Args:
        fp (str): Path argument to image file
        scale (Union[float, int]): Percent as whole number of original image. eg. 53

    Returns:
        image (np.ndarray): Scaled image
    """    
    _scale = lambda dim, s: int(dim * s / 100)
    im: np.ndarray = cv2.imread(fp)
    height, width, channels = im.shape
    new_width: int = _scale(width, scale)
    new_height: int = _scale(height, scale)
    new_dim: tuple = (new_width, new_height)
    return cv2.resize(src=im, dsize=new_dim, interpolation=cv2.INTER_LINEAR)

@rkosti Thank you for looking at the code!
It does appear the dsize in OpenCV is (width, height).
https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#ga47a974309e9102f5f08231edc7e7529d

The dsize in OpenCV is correct.
Your interpretation of the cv2.imread is not. I wrongly pointed to the incorrect part last time. I think it's #15 that needs change.
#15 height, width, channels = im.shape
I hope this helps :)

@rkosti Thanks for your help fixing the code. Good eagle eyes spotting the transposition.

You're welcome. I realized that my screenshot didn't upload last time. I updated the comment.
Happy Coding :)