python读取文件夹图片_python怎么按顺序读取文件夹中的图片

第2种方法：tensorflow进行操作，保存为tensor：

# -*- coding: utf-8 -*-

"""

Created on Wed Aug 9 12:48:17 2017

@author: Administrator

"""

import tensorflow as tf

import numpy as np

import os

from PIL import Image

cur_dir = os.getcwd()

print("For Tensorflow to load images")

print("current directory:",cur_dir)

def modify_image(image):

resized = tf.image.resize_images(image, [80, 80], 1)

resized.set_shape([80,80,3])

flipped_images = tf.image.flip_up_down(resized)

return flipped_images

def read_image(filename_queue):

reader = tf.WholeFileReader()

key,value = reader.read(filename_queue)

image = tf.image.decode_png(value)

return key,image

def inputs():

# 手写数字--灰度图像

filenames = ['./Test/test/1.png', './Test/test/2.png' ]

# 加载所有的图像

FullImageList = [];

filenames = os.listdir('./Test/test/')

for fn in filenames:

FullImage = os.path.join( cur_dir, 'Test/test', fn )

FullImageList.append(FullImage)

filename_queue = tf.train.string_input_producer(filenames)

filename,read_input = read_image(filename_queue)

reshaped_image = modify_image(read_input)

return filename,reshaped_image

with tf.Graph().as_default():

image = inputs()

init = tf.global_variables_initializer()

sess = tf.Session()

sess.run(init)

tf.train.start_queue_runners(sess=sess)

for i in range(3):

filename,img = sess.run(image)

print (filename)

# 手写数字--灰度图像

img = Image.fromarray(img[:,:,0], "L")

img.save(os.path.join(cur_dir+'/Test/',"ysw"+str(i)+".bmp"))

参考连接：https://stackoverflow.com/questions/34783030/saving-image-files-in-tensorflow