HOW TO CONVER IMAGES INTO ARRAYS USING cv2

import os
import cv2
import numpy as np 

from tqdm import tqdm 

training_data  = []

for i in tqdm(range(train.shape[0])):

    path = images_path+"/"+train.UID[i]+".jpeg"

    img = cv2.imread(path, cv2.IMREAD_GRAYSCALE)

    img = cv2.resize(img, (IMG_SIZE, IMG_SIZE))

    img = img/255.

    img = img.reshape(1,-1)  # convert(28*28)  =>(784)

=    training_data.append([np.array(img),np.array(train['growth_stage'][i])])

    

len(training_data)

#save the data 

np.random.shuffle(training_data)

np.save("training_data.npy",training_data)

#load the data

%time data = np.load("training_data.npy",allow_pickle=True)

len(data)