使用python操作lmdb对数据读取的实例

import lmdb
import numpy as np
import cv2
lmdb_file = "/home/rui/demo"
lmdb_env = lmdb.open(lmdb_file)
lmdb_txn = lmdb_env.begin()
lmdb_cursor = lmdb_txn.cursor()
for key, value in lmdb_cursor:
  img = cv2.imdecode(np.fromstring(value, np.uint8), 3);
  cv2.imshow("demo", img)
  cv2.waitKey(0)

# -*- coding:utf-8 -*-
import caffe
from caffe.proto import caffe_pb2
import lmdb
import cv2 as cv
env = lmdb.open("mnist_train_lmdb", readonly=True) # 打开数据文件
txn = env.begin() # 生成处理句柄
cur = txn.cursor() # 生成迭代器指针
datum = caffe_pb2.Datum() # caffe 定义的数据类型
for key, value in cur:
  print(type(key), key)
  datum.ParseFromString(value) # 反序列化成datum对象
  label = datum.label
  data = caffe.io.datum_to_array(datum)
  print data.shape
  print datum.channels
  image = data[0]
  # image = data.transpose(1, 2, 0)
  print(type(label))
  cv.imshow(str(label), image)
  cv.waitKey(0)
cv.destroyAllWindows()
env.close()