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mnist-將png轉成mnist格式.py
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mnist-將png轉成mnist格式.py
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#================================================================================
# (1) 先下載安裝 gzip 程式, 並且在命令提示字元中輸入 gzip 不會出現 bad command.
# (2) pip install pillow
# (3) 下載圖片檔: https://github.com/gskielian/JPG-PNG-to-MNIST-NN-Format
#================================================================================
import os
from PIL import Image
from array import *
from random import shuffle
# 載入圖片的位置
Names = [['./training-images','train'], ['./test-images','test']]
for name in Names:
data_image = array('B')
data_label = array('B')
FileList = []
for dirname in os.listdir(name[0])[0:]:
path = os.path.join(name[0], dirname)
for filename in os.listdir(path):
if filename.endswith(".png"):
FileList.append(os.path.join(name[0],dirname,filename))
shuffle(FileList)
for filename in FileList:
label = int(filename.split('\\')[1])
print('檔案:', filename, ' 標籤:', label)
Im = Image.open(filename)
pixel = Im.load()
width, height = Im.size
#加入圖片內容
for x in range(0, width):
for y in range(0, height):
data_image.append(pixel[y, x])
#加入標籤
data_label.append(label)
# 共有圖片數
hexval = "{0:#0{1}x}". format(len(FileList),6) # number of files in HEX
# 檔案表頭
header = array('B')
header.extend([0,0,8,1,0,0])
header.append(int('0x'+hexval[2:][:2],16))
header.append(int('0x'+hexval[2:][2:],16))
data_label = header + data_label
# 圖檔尺寸最大為256*256
if max([width,height]) <= 256:
header.extend([0,0,0,width,0,0,0,height])
else:
raise ValueError('Image exceeds maximum size: 256x256 pixels');
# Changing MSB for image data (0x00000803)
header[3] = 3
data_image = header + data_image
# 輸出檔名, 寫內容, 關檔
output_file = open(name[1]+'-images-idx3-ubyte', 'wb')
data_image.tofile(output_file)
output_file.close()
output_file = open(name[1]+'-labels-idx1-ubyte', 'wb')
data_label.tofile(output_file)
output_file.close()
# 將檔案壓縮
for name in Names:
os.system('gzip '+name[1]+'-images-idx3-ubyte')
os.system('gzip '+name[1]+'-labels-idx1-ubyte')