| import lmdb | |
| from Caffe import caffe_pb2 as pb2 | |
| import numpy as np | |
| class Read_Caffe_LMDB(): | |
| def __init__(self,path,dtype=np.uint8): | |
| self.env=lmdb.open(path, readonly=True) | |
| self.dtype=dtype | |
| self.txn=self.env.begin() | |
| self.cursor=self.txn.cursor() | |
| def to_numpy(value,dtype=np.uint8): | |
| datum = pb2.Datum() | |
| datum.ParseFromString(value) | |
| flat_x = np.fromstring(datum.data, dtype=dtype) | |
| data = flat_x.reshape(datum.channels, datum.height, datum.width) | |
| label=flat_x = datum.label | |
| return data,label | |
| def iterator(self): | |
| while True: | |
| key,value=self.cursor.key(),self.cursor.value() | |
| yield self.to_numpy(value,self.dtype) | |
| if not self.cursor.next(): | |
| return | |
| def __iter__(self): | |
| self.cursor.first() | |
| it = self.iterator() | |
| return it | |
| def __len__(self): | |
| return int(self.env.stat()['entries']) | |