(转载并补充)Win10+VS2015 caffe环境搭建（极其详细）
本文参考Win10+VS2015 caffe环境搭建（极其详细）我装的是VS2013，所以有些地方略有不同，这里说明一下：
1. 修改后的caffe\scripts下的build_win.cmd
@echo off
@setlocal EnableDelayedExpansion
:: Default values
if DEFINED APPVEYOR (
echo Setting Appveyor defaults
if NOT DEFINED MSVC_VERSION set MSVC_VERSION=14
if NOT DEFINED WITH_NINJA set WITH_NINJA=1
if NOT DEFINED CPU_ONLY set CPU_ONLY=1
if NOT DEFINED CUDA_ARCH_NAME set CUDA_ARCH_NAME=Auto
if NOT DEFINED CMAKE_CONFIG set CMAKE_CONFIG=Release
if NOT DEFINED USE_NCCL set USE_NCCL=0
if NOT DEFINED CMAKE_BUILD_SHARED_LIBS set CMAKE_BUILD_SHARED_LIBS=0
if NOT DEFINED PYTHON_VERSION set PYTHON_VERSION=2
if NOT DEFINED BUILD_PYTHON set BUILD_PYTHON=1
if NOT DEFINED BUILD_PYTHON_LAYER set BUILD_PYTHON_LAYER=1
if NOT DEFINED BUILD_MATLAB set BUILD_MATLAB=0
if NOT DEFINED PYTHON_EXE set PYTHON_EXE=python
if NOT DEFINED RUN_TESTS set RUN_TESTS=1
if NOT DEFINED RUN_LINT set RUN_LINT=1
if NOT DEFINED RUN_INSTALL set RUN_INSTALL=1
:: Set python 2.7 with conda as the default python
if !PYTHON_VERSION! EQU 2 (
set CONDA_ROOT=C:\Miniconda-x64
)
:: Set python 3.5 with conda as the default python
if !PYTHON_VERSION! EQU 3 (
set CONDA_ROOT=C:\Miniconda35-x64
)
set PATH=!CONDA_ROOT!;!CONDA_ROOT!\Scripts;!CONDA_ROOT!\Library\bin;!PATH!
:: Check that we have the right python version
!PYTHON_EXE! --version
:: Add the required channels
conda config --add channels conda-forge
conda config --add channels willyd
:: Update conda
conda update conda -y
:: Download other required packages
conda install --yes cmake ninja numpy scipy protobuf==3.1.0 six scikit-image pyyaml pydotplus graphviz
if ERRORLEVEL 1 (
echo ERROR: Conda update or install failed
exit /b 1
)
:: Install cuda and disable tests if needed
if !WITH_CUDA! == 1 (
call %~dp0\appveyor\appveyor_install_cuda.cmd
set CPU_ONLY=0
set RUN_TESTS=0
set USE_NCCL=1
) else (
set CPU_ONLY=1
)
:: Disable the tests in debug config
if "%CMAKE_CONFIG%" == "Debug" (
echo Disabling tests on appveyor with config == %CMAKE_CONFIG%
set RUN_TESTS=0
)
:: Disable linting with python 3 until we find why the script fails
if !PYTHON_VERSION! EQU 3 (
set RUN_LINT=0
)
) else (
:: Change the settings here to match your setup
:: Change MSVC_VERSION to 12 to use VS 2013
if NOT DEFINED MSVC_VERSION set MSVC_VERSION=12
:: Change to 1 to use Ninja generator (builds much faster)
if NOT DEFINED WITH_NINJA set WITH_NINJA=0
:: Change to 1 to build caffe without CUDA support
if NOT DEFINED CPU_ONLY set CPU_ONLY=0
:: Change to generate CUDA code for one of the following GPU architectures
:: [Fermi Kepler Maxwell Pascal All]
if NOT DEFINED CUDA_ARCH_NAME set CUDA_ARCH_NAME=Auto
:: Change to Debug to build Debug. This is only relevant for the Ninja generator the Visual Studio generator will generate both Debug and Release configs
if NOT DEFINED CMAKE_CONFIG set CMAKE_CONFIG=Release
:: Set to 1 to use NCCL
if NOT DEFINED USE_NCCL set USE_NCCL=0
:: Change to 1 to build a caffe.dll
if NOT DEFINED CMAKE_BUILD_SHARED_LIBS set CMAKE_BUILD_SHARED_LIBS=0
:: Change to 3 if using python 3.5 (only 2.7 and 3.5 are supported)
if NOT DEFINED PYTHON_VERSION set PYTHON_VERSION=2
:: Change these options for your needs.
if NOT DEFINED BUILD_PYTHON set BUILD_PYTHON=1
if NOT DEFINED BUILD_PYTHON_LAYER set BUILD_PYTHON_LAYER=1
if NOT DEFINED BUILD_MATLAB set BUILD_MATLAB=0
:: If python is on your path leave this alone
if NOT DEFINED PYTHON_EXE set PYTHON_EXE=python
:: Run the tests
if NOT DEFINED RUN_TESTS set RUN_TESTS=0
:: Run lint
if NOT DEFINED RUN_LINT set RUN_LINT=0
:: Build the install target
if NOT DEFINED RUN_INSTALL set RUN_INSTALL=0
)
:: Set the appropriate CMake generator
:: Use the exclamation mark ! below to delay the
:: expansion of CMAKE_GENERATOR
if %WITH_NINJA% EQU 0 (
if "%MSVC_VERSION%"=="14" (
set CMAKE_GENERATOR=Visual Studio 14 2015 Win64
)
if "%MSVC_VERSION%"=="12" (
set CMAKE_GENERATOR=Visual Studio 12 2013 Win64
)
if "!CMAKE_GENERATOR!"=="" (
echo ERROR: Unsupported MSVC version
exit /B 1
)
) else (
set CMAKE_GENERATOR=Ninja
)
echo INFO: ============================================================
echo INFO: Summary:
echo INFO: ============================================================
echo INFO: MSVC_VERSION = !MSVC_VERSION!
echo INFO: WITH_NINJA = !WITH_NINJA!
echo INFO: CMAKE_GENERATOR = "!CMAKE_GENERATOR!"
echo INFO: CPU_ONLY = !CPU_ONLY!
echo INFO: CUDA_ARCH_NAME = !CUDA_ARCH_NAME!
echo INFO: CMAKE_CONFIG = !CMAKE_CONFIG!
echo INFO: USE_NCCL = !USE_NCCL!
echo INFO: CMAKE_BUILD_SHARED_LIBS = !CMAKE_BUILD_SHARED_LIBS!
echo INFO: PYTHON_VERSION = !PYTHON_VERSION!
echo INFO: BUILD_PYTHON = !BUILD_PYTHON!
echo INFO: BUILD_PYTHON_LAYER = !BUILD_PYTHON_LAYER!
echo INFO: BUILD_MATLAB = !BUILD_MATLAB!
echo INFO: PYTHON_EXE = "!PYTHON_EXE!"
echo INFO: RUN_TESTS = !RUN_TESTS!
echo INFO: RUN_LINT = !RUN_LINT!
echo INFO: RUN_INSTALL = !RUN_INSTALL!
echo INFO: ============================================================
:: Build and exectute the tests
:: Do not run the tests with shared library
if !RUN_TESTS! EQU 1 (
if %CMAKE_BUILD_SHARED_LIBS% EQU 1 (
echo WARNING: Disabling tests with shared library build
set RUN_TESTS=0
)
)
if NOT EXIST build mkdir build
pushd build
:: Setup the environement for VS x64
set batch_file=!VS%MSVC_VERSION%0COMNTOOLS!..\..\VC\vcvarsall.bat
call "%batch_file%" amd64
:: Configure using cmake and using the caffe-builder dependencies
:: Add -DCUDNN_ROOT=C:/Projects/caffe/cudnn-8.0-windows10-x64-v5.1/cuda ^
:: below to use cuDNN
cmake -G"!CMAKE_GENERATOR!" ^
-DBLAS=Open ^
-DCMAKE_BUILD_TYPE:STRING=%CMAKE_CONFIG% ^
-DBUILD_SHARED_LIBS:BOOL=%CMAKE_BUILD_SHARED_LIBS% ^
-DBUILD_python:BOOL=%BUILD_PYTHON% ^
-DBUILD_python_layer:BOOL=%BUILD_PYTHON_LAYER% ^
-DBUILD_matlab:BOOL=%BUILD_MATLAB% ^
-DCPU_ONLY:BOOL=%CPU_ONLY% ^
-DCOPY_PREREQUISITES:BOOL=1 ^
-DINSTALL_PREREQUISITES:BOOL=1 ^
-DUSE_NCCL:BOOL=!USE_NCCL! ^
-DCUDA_ARCH_NAME:STRING=%CUDA_ARCH_NAME% ^
-DCUDNN_ROOT=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0 ^
"%~dp0\.."
if ERRORLEVEL 1 (
echo ERROR: Configure failed
exit /b 1
)
:: Lint
if %RUN_LINT% EQU 1 (
cmake --build . --target lint --config %CMAKE_CONFIG%
)
if ERRORLEVEL 1 (
echo ERROR: Lint failed
exit /b 1
)
:: Build the library and tools
cmake --build . --config %CMAKE_CONFIG%
if ERRORLEVEL 1 (
echo ERROR: Build failed
exit /b 1
)
:: Build and exectute the tests
if !RUN_TESTS! EQU 1 (
cmake --build . --target runtest --config %CMAKE_CONFIG%
if ERRORLEVEL 1 (
echo ERROR: Tests failed
exit /b 1
)
if %BUILD_PYTHON% EQU 1 (
if %BUILD_PYTHON_LAYER% EQU 1 (
:: Run python tests only in Release build since
:: the _caffe module is _caffe-d is debug
if "%CMAKE_CONFIG%"=="Release" (
:: Run the python tests
cmake --build . --target pytest
if ERRORLEVEL 1 (
echo ERROR: Python tests failed
exit /b 1
)
)
)
)
)
if %RUN_INSTALL% EQU 1 (
cmake --build . --target install --config %CMAKE_CONFIG%
)
popd
@endlocal2. 无法下载libraries_v120_x64_py27_1.1.0.tar.bz2的解决办法
作者提供的链接无法直接下载，可以去这里或者百度云盘，密码：ftfb
1. libraries_v120_x64_py27_1.1.0.tar.bz2存放路径C:\Users\SiyingHe\.caffe\dependencies\download
2. 删除C:\Users\SiyingHe\.caffe\dependencies\libraries_v120_x64_py27_1.1.0及其子目录
3. 将cmake文件夹下的WindowsDownloadPrebuiltDependencies.cmake中set(_download_file 1)改为set(_download_file 0)
3. caffe是否安装成功
训练lenet
参考：mnist数据集测试
build/tools/Release/caffe.exe train --solver=examples/mnist/lenet_solver.prototxt 2>&1 | tee examples/mnist/log/lenet_0910_2048.log
这里caffe.exe路径和网上教程说得有点不一样，要特别注意一下。
测试lenet
https://zhuanlan.zhihu.com/p/24001523
·
build/tools/Release/caffe.exe test --model=examples/mnist/lenet_train_test.prototxt --weights=examples/mnist/lenet_iter_10000.caffemodel 2>&1 |tee examples/mnist/log/lenet_0910_2048_test_bnTrue.log