Python文件夹下图像数据可视化

最新推荐文章于 2024-05-02 07:20:28 发布

Mathilda91

最新推荐文章于 2024-05-02 07:20:28 发布

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CC 4.0 BY-SA版权

文章标签： python matlab

原文链接：http://www.cnblogs.com/yizhichun/p/6395112.html

本文介绍了一个使用Python进行图像数据可视化的实例。通过matplotlib和numpy等库读取指定目录下的图像文件，并将其显示在一个10x10的网格中。该过程包括了文件路径的获取、图像读取及展示。

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import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import urllib2
import urllib
import os
import shutil
subdir= "/7"
homedir = os.getcwd() + subdir
# "/home/haoyou/Dev/last_caffe_with_stn/myprojects/spn-mnistcluttered/mnist-cluttered/"+subdir
import os
def walk_dir(dir,fileinfo,topdown=True):
for root, dirs, files in os.walk(dir, topdown):
for name in files:
print(os.path.join(name))
fileinfo.write(os.path.join(root,name) + '\n')
for name in dirs:
print(os.path.join(name))
fileinfo.write(' ' + os.path.join(root,name) + '\n')
fileinfo = open(homedir+'/list.txt','w')
walk_dir(homedir,fileinfo)
f = open(homedir+"/list.txt", "r")
while True:
for i in range(1,101):
line = f.readline()
if line:
line=line.strip()
plt.subplot(10,10,i)
lena = mpimg.imread(line)
plt.imshow(lena,cmap='gray')
plt.axis('off')
else:
break
plt.show()
# for line in f:
# #pass # do something here
# line=line.strip()
# print(line)
# lena = mpimg.imread(line)
f.close()