import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
import random
import pickle

DATADIR = "C:/Users/James/Desktop/training_images"
CATEGORIES = ["IEEE","Macmillan","SpringerNature","WoltersKluwerHealth"]
training_data = []
IMG_SIZE = 100
X = []
y = []


def create_training_data():
    for category in CATEGORIES:
        path = os.path.join(DATADIR, category)
        class_num = CATEGORIES.index(category)
        for img in os.listdir(path):
            try:
                img_array = cv2.imread(os.path.join(path,img),cv2.IMREAD_GRAYSCALE)
                new_array = cv2.resize(img_array, (IMG_SIZE,IMG_SIZE))
                training_data.append([new_array, class_num])
            except Exception as e:
                pass

create_training_data()

print(len(training_data))
random.shuffle(training_data)

for features, labels in training_data:
    X.append(features)
    y.append(labels)

X = np.array(X).reshape(-1, IMG_SIZE,IMG_SIZE,1)

pickle_out = open("X.pickle","wb")
pickle.dump(X, pickle_out)
pickle_out.close()

pickle_out = open("y.pickle","wb")
pickle.dump(y, pickle_out)
pickle_out.close()
