21 lines
727 B
Python
21 lines
727 B
Python
from torchvision import datasets
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from tqdm import tqdm
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import os
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# 数据集加载
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train_data = datasets.MNIST(root="./data/", train=True, download=True)
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test_data = datasets.MNIST(root="./data/", train=False, download=True)
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# 保存图片函数
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def save_img_subset(data, save_path, num_samples):
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if not os.path.exists(save_path):
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os.mkdir(save_path)
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for i in tqdm(range(num_samples), desc=f"Saving {num_samples} images to {save_path}"):
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img, label = data[i]
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img.save(os.path.join(save_path, f"{i}-label-{label}.png"))
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# 保存前 600 张训练集图片和前 100 张测试集图片
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save_img_subset(train_data, './DataImages-Train', 600)
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save_img_subset(test_data, './DataImages-Test', 100)
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