将MNIST手写数据集转换成图片保存到本地

# 加载图片
data = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = data.load_data()

plt.imshow(x_train[0], cmap='gray')

# 创建10个文件夹存放每一类图片
for i in range(10):
    os.makedirs(f"../datas/mnist/train/{i}")
    os.makedirs(f"../datas/mnist/test/{i}")

# 保存图片并生成图像列表

# 训练集数据
with open("../datas/mnist/train/image_list.txt", 'w') as img_list:
    i = 1
    for img, label in zip(x_train, y_train):
        img = Image.fromarray(img) # 将array转化成图片
        img_save_path = f"../datas/mnist/train/{label}/{i}.jpg" # 图片保存路径
        img.save(img_save_path) # 保存图片
        img_list.write(img_save_path + "\t" + str(label) + "\n")
        i += 1

# 测试集数据
with open("../datas/mnist/test/image_list.txt", 'w') as img_list:
    i = 1
    for img, label in zip(x_test, y_test):
        img = Image.fromarray(img) # 将array转化成图片
        img_save_path = f"../datas/mnist/test/{label}/{i}.jpg" # 图片保存路径
        img.save(img_save_path)
        img_list.write(img_save_path + "\t" + str(label) + "\n")
        i += 1