Imagenes a matrices para entrenar la Red Neuronal, sin usar TensorFlow.

X, Y = [], []
DATA_PATH = './DATA'
for folderName in os.listdir(DATA_PATH):
    print(f'Loading: {folderName}')
    CurrentDir = f'{DATA_PATH}/{folderName}'
    for imageName in os.listdir(CurrentDir):
        imageData = np.asarray(Image.open(f'{CurrentDir}/{imageName}'))
        imageLabel = Labels.index(folderName.replace('Upper', ''))
        X.append(imageData)
        Y.append(imageLabel)

print('\n')
print('Shuffling Data...')
DATA = list(zip(X, Y))
np.random.shuffle(DATA)
X, Y = zip(*DATA)
print('Splitting Data...')
X_Train, X_Test, Y_Train, Y_Test = train_test_split(X, Y, test_size=0.1)
print('Creating NumPy Arrays...')
X_Train, X_Test, Y_Train, Y_Test = np.array(X_Train), np.array(X_Test), np.array(Y_Train), np.array(Y_Test)
print('Done!')