# Read in the image to be detected
# 原始圖像均保存在binaries.txt文件中，將包含絕對(duì)目錄的圖像名提取出來并寫到txt文件的程序見上一篇博客
f = open("/home/shenruixue/image_test/binaries.txt")
line = f.readline()

while line:
 count_times += 1
 line = line[:-1] # 除去末尾的換行符
 print line
 print '***********************************************************'
 image = caffe.io.load_image(line)
  

 # start time
 start = time.clock()

# 此處做一系列的處理
# 。。。。。。
# 。。。。。。
# 此處做一系列的處理

 # end time
 end = time.clock()
 sum_time += (end - start)

 # draw the image
 plt.imshow(image)

 
 print '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~'
# 指定處理之后的圖像的保存目錄
 pre_savename = '/home/shenruixue/image_test_result/'
 print (str(count_times))
# 將從txt中讀取的一行字符串（包含絕對(duì)路徑的圖像名）進(jìn)行處理，只留存最后的圖像名的字符串部分，去掉絕對(duì)路徑部分的字符串
# 并將自己指定的目錄與原始的圖像名這兩個(gè)字符串連接起來，然后進(jìn)行保存
 savename = os.path.join(pre_savename, line[28:]) 
 print 'line is '
 print line
 print 'savename is '
 print savename
 savefig(savename)
 #io.imsave(savename, image)
# 繼續(xù)讀取下一行的圖像名稱
 line = f.readline() 
 print '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~'


 plt.pause(1)
 plt.close() 

print('Running time: %s s' %sum_time)
print('Deal with images: %s 張' %count_times)
print('mean time: %s s' %(sum_time / count_times))