ocr数据集(图片,txt)转lmdb

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import os
import lmdb # install lmdb by "pip install lmdb"
import cv2
import re
from PIL import Image
import numpy as np
import imghdr

def checkImageIsValid(imageBin):
if imageBin is None:
return False
try:
imageBuf = np.fromstring(imageBin, dtype=np.uint8)
img = cv2.imdecode(imageBuf, cv2.IMREAD_GRAYSCALE)
imgH, imgW = img.shape[0], img.shape[1]
except:
return False
else:
if imgH * imgW == 0:
return False
return True

def writeCache(env, cache):
with env.begin(write=True) as txn:
for k, v in cache.items():
if type(k) == str:
k = k.encode()
if type(v) == str:
v = v.encode()
txn.put(k, v)

def createDataset(outputPath, imagePathList, labelList, lexiconList=None, checkValid=True):

assert(len(imagePathList) == len(labelList))
nSamples = len(imagePathList)
env = lmdb.open(outputPath, map_size=10995116277760)
cache = {}
cnt = 1
for i in range(nSamples):
imagePath = ''.join(imagePathList[i]).split()[0].replace('\n','').replace('\r\n','')
label = ''.join(labelList[i])
print(label)

with open(imagePath, 'rb') as f:
imageBin = f.read()

if checkValid:
if not checkImageIsValid(imageBin):
print('%s is not a valid image' % imagePath)
continue
imageKey = 'image-%09d' % cnt
labelKey = 'label-%09d' % cnt
cache[imageKey] = imageBin
cache[labelKey] = label
if lexiconList:
lexiconKey = 'lexicon-%09d' % cnt
cache[lexiconKey] = ' '.join(lexiconList[i])
if cnt % 1000 == 0:
writeCache(env, cache)
cache = {}
print('Written %d / %d' % (cnt, nSamples))
cnt += 1
print(cnt)
nSamples = cnt-1
cache['num-samples'] = str(nSamples)
writeCache(env, cache)
print('Created dataset with %d samples' % nSamples)

if __name__ == '__main__':
outputPath = "./lmdb_train"
imgdata = open("./train.txt")
imagePathList = list(imgdata)

labelList = []
for line in imagePathList:
word = line.split()[1]
labelList.append(word)
createDataset(outputPath, imagePathList, labelList)