1、安裝lmdb
2、ubuntu 系統命令:pip install lmdb
3、執行**:combine_lmdb.py
#!/usr/bin/env python2# -*- coding: utf-8 -*-
"""created on sun aug 12 17:50:48 2018
@author: sarah
"""import lmdb
env1 = lmdb.open("/home/www/www_python/dataset/train_001_lmdb")
env2 = lmdb.open("/home/www/www_python/dataset/train_002_lmdb")
txn1 = env1.begin()
txn2 = env2.begin()
database1 = txn1.cursor()
database2 = txn2.cursor()
env3 = lmdb.open("/home/www/www_python/dataset/train_result_lmdb", map_size=int(1e12))
txn3 = env3.begin(write=true)
print(env3.stat())
count =0
for (key, value) in database1:
# 將資料放到結果資料庫事務中
txn3.put(key, value)
count += 1
if(count % 1000 == 0):
# 將資料寫入資料庫,必須的,否則資料不會寫入到資料庫中
txn3.commit()
count = 0
txn3 = env3.begin(write=true)
if(count % 1000 != 0):
txn3.commit()
count = 0
txn3 = env3.begin(write=true)
for (key, value) in database2:
txn3.put(key, value)
if(count % 1000 == 0):
txn3.commit()
count = 0
txn3= env3.begin(write=true)
if(count % 1000 != 0):
txn3.commit()
count = 0
txn_3 = env3.begin(write=true)
#查詢合併前後的lmdb的資料,確認合併成功
print txn1.stat()['entries']
print txn2.stat()['entries']
print txn3.stat()['entries']
print("success")
lmdb的形式,**convert_imageset.cpp
【lmdb的key】 八位數的字首+源檔名
string key_str = caffe::format_int(line_id, 8) + "_" + lines[line_id].first;
【lmdb的value】 讀取影象到datum,然後序列後為字串
status = readimagetodatum(root_folder + lines[line_id].first,
lines[line_id].second, resize_height, resize_width, is_color,
enc, &datum);
string out;
check(datum.serializetostring(&out));
txn->put(key_str, out);
待解決的問題:
1、lmdb記憶體的設定
2、caffe中多標籤的lmdb 問題
3、lmdb讀寫顯示問題
ps.小王有話說: 人生不容易,大家隨便活
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