minist数据集转化为png
时间: 2023-09-25 15:15:54 浏览: 59
MNIST数据集中的手写数字是以二进制形式保存的,因此需要将其转换为图像格式如png。以下是Python代码示例:
```python
from PIL import Image
import numpy as np
import os
# 读取MNIST数据集
def load_mnist(path, kind='train'):
labels_path = os.path.join(path, '%s-labels-idx1-ubyte' % kind)
images_path = os.path.join(path, '%s-images-idx3-ubyte' % kind)
with open(labels_path, 'rb') as lbpath:
magic, n = struct.unpack('>II', lbpath.read(8))
labels = np.fromfile(lbpath, dtype=np.uint8)
with open(images_path, 'rb') as imgpath:
magic, num, rows, cols = struct.unpack('>IIII', imgpath.read(16))
images = np.fromfile(imgpath, dtype=np.uint8).reshape(len(labels), 784)
return images, labels
# 将MNIST数据集转换为png格式
def convert_to_png(images, labels, output_folder):
if not os.path.exists(output_folder):
os.makedirs(output_folder)
for i in range(len(images)):
image = images[i].reshape((28, 28))
label = labels[i]
image = Image.fromarray(image, mode='L')
image.save(os.path.join(output_folder, f'{label}_{i}.png'))
# 例子
images, labels = load_mnist('path/to/mnist/folder', kind='train')
convert_to_png(images, labels, 'path/to/output/folder')
```
这个例子会把训练集中的所有手写数字转化为png格式,并保存到指定的输出文件夹中。