from PIL import Image

import pylab

import numpy as np

print('input the file you want to resize to 28*28:')

origfile = input()

destfile = origfile + '28_28.jpg'

def resize_image(input_image_path, output_image_path, size):

original_image = Image.open(input_image_path)

resized_image = original_image.resize(size)

resized_image.save(output_image_path)

def convert_to_black_white_then_normalize(image_path, output_path):

with Image.open(image_path) as image:

# 灰度图像化

gray_image = image.convert('L')

# 将图像转换为NumPy数组

gray_array = np.array(gray_image)

# 将像素值从0到255归一化到0到1(chaonin:黑色作为背景)

normalized_array = 1 - gray_array / 255.0

# 将归一化的灰度数组转换为图像

normalized_gray_image = Image.fromarray((normalized_array * 255).astype(np.uint8))

# 保存图像

normalized_gray_image.save(output_path)

def show_image(image_path):

img_x = Image.open(image_path)

pylab.imshow(img_x)

pylab.gray()

pylab.show()

def read_pic_pixel(image_path):

image = Image.open(image_path)

width, height = image.size

print (width)

print (height)

i = 1

for h in range(height):

for w in range(width):

pixel_value = image.getpixel((w, h))

print(str(i)+':'+str(pixel_value)) # 输出像素值，例如：(255, 0, 0)代表红色

i = i+1

# 使用函数将图片压缩为28x28像素

resize_image(origfile, destfile, (28, 28))

# 黑白化并归一化【RBG转换为0-1之间的灰度值】

convert_to_black_white_then_normalize(destfile, destfile)

#read_pic_pixel(destfile)

show_image(destfile)