caffe: make your own data sets train.txt and val.txt, and generate lmdb files

 

1. Prepare the picture

Under caffe / path: create a new folder images

The caffe / images / data / path stores its own image data set:

Divided into train and val, where all the pictures are placed

Second, generate the label file. Txt file production

import os  
  
def IsSubString(SubStrList,Str):  
    flag=True  
    for substr in SubStrList:  
        if not(substr in Str):  
            flag=False  
      
    return flag  
  
#扫面文件  
def GetFileList(FindPath,FlagStr=[]):  
    FileList=[]  
    FileNames=os.listdir(FindPath)  
    if len(FileNames)>0:  
        for fn in FileNames:  
            if len(FlagStr)>0:  
                if IsSubString(FlagStr,fn):  
                    fullfilename=os.path.join(FindPath,fn)  
                    FileList.append(fullfilename)  
            else:  
                fullfilename=os.path.join(FindPath,fn)  
                FileList.append(fullfilename)  
      
    if len(FileList)>0:  
        FileList.sort()  
          
    return FileList  
  
  
  
train_txt=open('train.txt','w')  
#制作标签数据,如果是

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Origin blog.csdn.net/yql_617540298/article/details/89819851