caffe使用python创建lmdb

 1 import numpy as np
 2 import sys
 3 from PIL import Image
 4 import lmdb
 5 import random
 6 import os
 7 
 8 sys.path.append(‘../caffe/python/‘)
 9 
10 import caffe
11 
12 if __name__ == ‘__main__‘ :
13     train_list_file = ‘./trainlist.txt‘
14     train_images_root = ‘./train/images/‘
15 
16     f = open(train_list_file, ‘r‘)
17     trainlist = f.readlines()
18     f.close()
19 
20     random.shuffle(trainlist)
21 
22     # creating images lmdb
23     in_db = lmdb.open(‘my-train-data-lmdb‘, map_size=int(1e12))
24     with in_db.begin(write=True) as in_txn :
25         for in_idx, in_ in enumerate(trainlist) :
26             fid = in_.strip()
27             fn = os.path.join(train_images_root, fid)
28             im = np.array(Image.open(fn))
29             im = im[:,:,::-1]
30             im = im.transpose((2, 0, 1))
31             im_dat = caffe.io.array_to_datum(im)
32             in_txn.put(‘{:0>10d}‘.format(in_idx), im_dat.SerializeToString())
33     in_db.close()