Convert and resize images in a directory into grayscale images compatible with seqslam program

grayscale_resize.py

import os
import argparse

import cv2


# Setup Argument Parser
parser = argparse.ArgumentParser()

parser.add_argument('-i', '--image_dir', type=str, default='', help='input directory')
parser.add_argument('-o', '--output_dir', type=str, default='', help='output directory')

args = parser.parse_args()

image_dir = args.image_dir
output_dir = args.output_dir

# create output directory
os.makedirs(os.path.join(output_dir), exist_ok=True)

file_list = os.listdir(image_dir)

for filename in file_list:
    print(os.path.join(image_dir, filename))
    image = cv2.imread(os.path.join(image_dir, filename))
    image_resize = cv2.resize(image, (64, 32))
    image_grayscale = cv2.cvtColor(image_resize, cv2.COLOR_BGR2GRAY)
    image_bgr = cv2.cvtColor(image_grayscale, cv2.COLOR_GRAY2BGR)
    cv2.imwrite(os.path.join(output_dir, filename), image_bgr)