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发现许多代码还是用python写的#xff0c;所以还是配置一下接口吧#xff0c;虽然博主不会Python#xff0c;咳咳。在这里使用的python安装包是anaconda2#xff0c;注意使用Python2.7版本的那个安装包。
官网地址#xff1a;https://www.continuum.io/downloads
…前言
发现许多代码还是用python写的所以还是配置一下接口吧虽然博主不会Python咳咳。在这里使用的python安装包是anaconda2注意使用Python2.7版本的那个安装包。
官网地址https://www.continuum.io/downloads
百度云链接https://pan.baidu.com/s/1hIDvgrnX_-6idLyl2D9BRg 密码k9zp
测试的实例是2015年一篇利用噪声生成一张真实图片的代码使用的caffepython时下
注意一下我第一安装的时候竟然没有jupyter notebook所以卸载了一下又重新安装了一次anaconda安装过程直接各种下一步就行了。
测试方法是直接在dos输入jupyter notebook,看是否有一个网页弹出来。 C:\Users\Bingojupyter notebook
[I 10:16:40.512 NotebookApp] [nb_conda_kernels] enabled, 2 kernels found
[I 10:16:41.680 NotebookApp] 鉁?nbpresent HTML export ENABLED
[W 10:16:41.680 NotebookApp] 鉁?nbpresent PDF export DISABLED: No module named n
bbrowserpdf.exporters.pdf
[I 10:16:41.690 NotebookApp] [nb_conda] enabled
[I 10:16:41.812 NotebookApp] [nb_anacondacloud] enabled
[I 10:16:42.140 NotebookApp] Serving notebooks from local directory: C:\Users\Bi
ngo
[I 10:16:42.140 NotebookApp] 0 active kernels
[I 10:16:42.141 NotebookApp] The Jupyter Notebook is running at: http://localhos
t:8888/
[I 10:16:42.141 NotebookApp] Use Control-C to stop this server and shut down allkernels (twice to skip confirmation). 第一步 编译caffe接口修改配置文件CommonSettings.props
第13行 PythonSupporttrue/PythonSupport
第48行 PythonDirC:\Program Files\Anaconda2\/PythonDir
然后保存去编译Release版本的pycaffe好像如果编译Debug版本会出现python27_d.lib找不到什么的。 等编译完成以后有如下文件夹 直接将caffe这个文件夹拷贝到C:\Program Files\Anaconda2\Lib\site-packages即可。 第二步
试试import caffe Microsoft Windows [版本 6.1.7601]
版权所有 (c) 2009 Microsoft Corporation。保留所有权利。C:\Users\Bingopython
Python 2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.
1500 64 bit (AMD64)] on win32
Type help, copyright, credits or license for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.orgimport caffe
这一步应该会出现不同的问题我出现的是
ImportError: No module named google.protobuf.internal
这个错误反正只要跟protobuf相关的错误你就直接在dos下安装方法是
C:\windows\system32conda install protobuf
【PS】此处有的读者使用这个命令安装可能出现问题如果不行的话就用pip install protobuf 安装吧因为我当时用pip安装出问题了所以只写了conda安装方法两个都试试吧
然后就会慢慢安装安装过程如下
Microsoft Windows [版本 6.1.7601]
版权所有 (c) 2009 Microsoft Corporation。保留所有权利。C:\windows\system32conda install protobuf
Fetching package metadata ..........Could not connect to https://repo.continuum
io/pkgs/free/win-64/
........
Solving package specifications: ..........Package plan for installation in environment C:\Program Files\Anaconda2:The following packages will be downloaded:package | build---------------------------|-----------------conda-env-2.5.2 | py27_0 66 KB conda-forgeconda-4.1.12 | py27_0 263 KB conda-forgeprotobuf-3.0.0 | py27_vc9_0 11.1 MB conda-forge------------------------------------------------------------Total: 11.4 MBThe following NEW packages will be INSTALLED:conda-env: 2.5.2-py27_0 conda-forgeprotobuf: 3.0.0-py27_vc9_0 conda-forge [vc9]The following packages will be SUPERCEDED by a higher-priority channel:conda: 4.2.9-py27_0 -- 4.1.12-py27_0 conda-forgeProceed ([y]/n)? yFetching packages ...
conda-env-2.5. 100% |###############################| Time: 0:00:01 35.70 kB/s
conda-4.1.12-p 100% |###############################| Time: 0:00:03 71.46 kB/s
protobuf-3.0.0 100% |###############################| Time: 0:02:02 94.90 kB/s
Extracting packages ...
[ COMPLETE ]|##################################################| 100%
Unlinking packages ...
[ COMPLETE ]|##################################################| 100%
Linking packages ...
[ COMPLETE ]|##################################################| 100%C:\windows\system32
安装完毕再去试试能否导入caffe Microsoft Windows [版本 6.1.7601]
版权所有 (c) 2009 Microsoft Corporation。保留所有权利。C:\Users\Bingopython
Python 2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.
1500 64 bit (AMD64)] on win32
Type help, copyright, credits or license for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.orgimport caffe
C:\Program Files\Anaconda2\lib\site-packages\caffe\pycaffe.py:13: RuntimeWarning
: to-Python converter for class boost::shared_ptrclass caffe::Netfloat alre
ady registered; second conversion method ignored.from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \
C:\Program Files\Anaconda2\lib\site-packages\caffe\pycaffe.py:13: RuntimeWarning
: to-Python converter for class boost::shared_ptrclass caffe::Blobfloat alr
eady registered; second conversion method ignored.from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \
C:\Program Files\Anaconda2\lib\site-packages\caffe\pycaffe.py:13: RuntimeWarning
: to-Python converter for class boost::shared_ptrclass caffe::Solverfloat a
lready registered; second conversion method ignored.from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \我这里有三个warning看网上说不用管即可如果有轻微强迫症不想看到warning可以去google上搜一下有解决方案需要修改cpp文件的东西接下来我们引入一下实例看看效果。 第三步
使用的实例是Texture Synthesis with Convolutional Neural Networks这篇论文的代码主要实现的是利用噪声生成一张真实图片。 原文地址https://arxiv.org/abs/1505.07376
github地址https://github.com/leongatys/DeepTextures
百度云地址链接http://pan.baidu.com/s/1qYaqcZ6 密码5cm9
使用方法是先打开jupyter notebook
【注意】此处打开的路径是你的代码解压以后的位置 Microsoft Windows [版本 6.1.7601]
版权所有 (c) 2009 Microsoft Corporation。保留所有权利。C:\Users\BingoE:E:\cd E:\caffe-code\DeepTextures-masterE:\caffe-code\DeepTextures-masterjupyter notebook
[I 10:38:58.658 NotebookApp] [nb_conda_kernels] enabled, 2 kernels found
[I 10:38:59.819 NotebookApp] 鉁?nbpresent HTML export ENABLED
[W 10:38:59.819 NotebookApp] 鉁?nbpresent PDF export DISABLED: No module named n
bbrowserpdf.exporters.pdf
[I 10:38:59.829 NotebookApp] [nb_conda] enabled
[I 10:38:59.951 NotebookApp] [nb_anacondacloud] enabled
[I 10:39:00.283 NotebookApp] Serving notebooks from local directory: E:\caffe-co
de\DeepTextures-master
[I 10:39:00.283 NotebookApp] 0 active kernels
[I 10:39:00.283 NotebookApp] The Jupyter Notebook is running at: http://localhos
t:8888/
[I 10:39:00.285 NotebookApp] Use Control-C to stop this server and shut down allkernels (twice to skip confirmation).
然后浏览器弹出的页面会有当前目录的文件 然后点击Example.ipynb使用快捷键shiftEnter逐步运行最后会出现一个迭代生成过程就是一张图片一闪一闪的但是我看其它人的都是由一个iteration数字在上面不过不管怎么样这样就是在生成图片了
