Created
July 19, 2016 03:05
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Write mnist image to lmdb with python
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from mnist import MNIST | |
import numpy as np | |
import cv2 | |
import lmdb | |
import caffe | |
mndata = MNIST('./data') | |
images, labels = mndata.load_training() | |
labels = np.array(labels) | |
images = np.array(images).reshape(len(labels), 28, 28).astype(np.uint8) | |
print type(images[0][0][0]) | |
count = 0 | |
env = lmdb.open('mnist_lmdb', map_size=1000*1000*1000) | |
txn = env.begin(write=True) | |
for i in xrange(len(labels)): | |
print i | |
datum = caffe.proto.caffe_pb2.Datum() | |
datum.channels = 1 | |
datum.height = 28 | |
datum.width = 28 | |
datum.data = images[i].tobytes() | |
datum.label = labels[i] | |
str_id = '{:08}'.format(i) | |
txn.put(str_id, datum.SerializeToString()) | |
count = count + 1 | |
if count % 1000 == 0: | |
txn.commit() | |
txn = env.begin(write=True) | |
if count % 1000 != 0: | |
txn.commit() | |
env.close() |
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