Convert all images in a directory to ".npy" format

convert_to_numpy.py

from PIL import Image
import os, sys
import cv2
import numpy as np

'''
Converts all images in a directory to '.npy' format.
Use np.save and np.load to save and load the images.
Use it for training your neural networks in ML/DL projects. 
'''

# Path to image directory
path = "/path/to/image/directory/"
dirs = os.listdir( path )
dirs.sort()
x_train=[]

def load_dataset():
    # Append images to a list
    for item in dirs:
        if os.path.isfile(path+item):
            im = Image.open(path+item).convert("RGB")
            im = np.array(im)
            x_train.append(im)

if __name__ == "__main__":
    
    load_dataset()
    
    # Convert and save the list of images in '.npy' format
    imgset=np.array(x_train)
    np.save("imgds.npy",imgset)