image_npy.py

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import os
import cv2

train_folder = 'GTRSB/train/GTSRB/Final_Training/Images'

image_paths = [os.listdir(x[0]) for x in os.walk(train_folder)]

labels = image_paths[0]

datax = image_paths[1:]

for iy in range(len(labels)): 
    l_image = []
    for ix in range(len(datax[iy])):
        a  = cv2.imread(train_folder+'/'+labels[iy]+'/'+datax[iy][ix],0)
        try:
            resized_a = cv2.resize(a, (32, 32)) 
            l_image.append(resized_a)
        except:
            pass
    np.save('resized_data/' + labels[iy], l_image)

ls = np.load('resized_data/' + labels[2]+'.npy')