Caffe_Test

The main role of the project: Caffe's usage

• Caffe's third library usage: Boost、GFlags、GLog、LevelDB、LMDB、ProtoBuf、HDF5、OpenBLAS、Snappy
  • Boost version: 1.58.0
  • ProtoBuf version: 3.2
  • GLog version: mater, commit: da816ea, date: 2017.03.07
  • GFlags version: 2.2.0
  • LevelDB version: 1.18
  • LMDB version: 0.9.19
  • HDF5 version: 1.10.0-patch1
  • Snappy version: 1.1.4
  • OpenBLAS version: 0.2.19
• MNIST convert to LMDB/LevelDB
• MNIST train and predict
• cifar10 convert to LMDB/LevelDB
• compute image mean
• cifar10 train and predict
• Caffe main header files's usage, include:
  • caffe/common.hpp
  • caffe/util/mkl_alternate.hpp
  • caffe/util/math_functions.hpp
  • caffe/syncedmem.hpp
  • caffe/blob.hpp
  • caffe/util/io.hpp
  • caffe/layers/pooling_layer.hpp
  • caffe/net.hpp
  • caffe/solver.hpp

The project support platform: windows7/10 64 bits. It can be directly build with VS2013 in windows7/10 64bits, compile step:

1. from https://github.com/opencv/opencv/releases download opencv2.4.13, unzip to D:\soft\OpenCV2.4.13, add D:\soft\OpenCV2.4.13\opencv\build\x64\vc12\bin to Path
2. from http://www.boost.org/users/history/version_1_58_0.html download boost1.58.0, install to D:\ProgramFiles, add D:\ProgramFiles\local\boost_1_58_0\lib64-msvc-12.0 to Path
3. clone or download Caffe_Test to E:\GitCode, open Caffe.sln, first build dependent libraries, next build libcaffe.
4. if you have already installed and configured cuda8.0 in your PC, then you can build libcaffe_gpu too.

Screenshot:

Blog: fengbingchun