Resize multiple images with OpenCV to square size without padding-CodePudding

My question is simple yet I haven't found any solution on Google, all the answers are for adding padding which in my case I don't want...

It's basically resizing images the WordPress way (resize and crop intelligently)... for square aspect ratio without pad... please help and thank you in advance.

Here is the image input example:

And here is the result I want for example (150x150 or any square size):

This is what I have so far tried:

import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
from pathlib import Path
import argparse
import numpy
 
mypath = 'images'

onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]
images = numpy.empty(len(onlyfiles), dtype=object)
 
for n in range(0, len(onlyfiles)):
 
    path = join(mypath, onlyfiles[n])
    images[n] = cv2.imread(join(mypath, onlyfiles[n]),
                           cv2.IMREAD_UNCHANGED)
 
    try:
        img = cv2.imread(path, 1)
        resized_dimensions = (400, 400)
        resized_image = cv2.resize(img, resized_dimensions, interpolation=cv2.INTER_AREA)
        if not cv2.imwrite('output/'  str(n)  '.jpg', resized_image):
            raise Exception("Could not write image")
        
    except Exception as e:
        print(str(e))
 
print("Images resized Successfully")

The code works but the images are distorted...

CodePudding user response：

This answer assumes you are able to use

It checks for portrait or landscape because in portrait, the crop area fills the width and is offset from the height; vice versa in landscape. You could probably do it in one statement with clever min and max statements if you really wanted.