caffe install

Ubuntu14.04+cuda7.5+anaconda2-4.0.0+matlab2014b+caffe from scratch Preface Took three days, from the installation of dual systems to install Caffe and compiled successfully, during the process of countless pits, visited dozens of csdn and blog Park and the Linux Community Technology blog, the ups and downs I am afraid only experienced can experience. Bec

encapsulated in the operating system kernel.Some developers will directly use the pthread provided by the Linux kernel for code design, such as Tomas Mikolov Word2vec.This gives the cross-platform to compile the source code, brings the trouble (many people in order to compile Word2vec, install Linux, or look for virtual machine).Caffe uses the multi-threaded function of the boost library by default, and as

Importerror:no module named Skimage "Issue 1" for dual-card notebook only, through the *.run way to install Cuda, after the restart will be black screen appears unable to enter the desktop, only into the TTY workaround : Use the *.deb method to install CUDA, do not need to install the Nvidia driver (CUDA-7.0 comes with the latest driver), but also do not need to

Refer to the two-bit bloghttp://caffe.berkeleyvision.org/official websitehttp://blog.csdn.net/u013476464/article/details/38071075 caffe+ubunutu14.04 +cuda 6.5 Installation Guidehttp://blog.csdn.net/bebelemon/article/details/25567239 ubuntu12.04 under Configuration CaffeHttp://www.mintos.org/config/ubuntu-nvidia-prime.html (important for ubuntu14.04 's words)Error while loading shared libraries:xxx.so.x "causes and workarounds for" errorsThe 20+ has be

anexplicitspecialization Solution: Download NCVPIXELOPERATIONS.HPP, replace ubuntu/2.4/opencv/opencv2.4.9/moduels/gpu/src/nvidia/ NCPIXELOPERATIONS.HPP file in the core directory, re-execute the installation commandsudo sh./opencv2_4_9.shV. Installing other dependenciesUbuntu14.04 User Executionsudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev Libhdf5-serial-dev Libgflags-dev Libgoogle-glog-de

, assuming the/HOME/OPENCV is extracted.1 Unzip opencv-2.4. . Zip 2 sudo CP ./opencv-2.4. /Home3sudomv opencv-2.4. OpenCVBefore installing, create a compilation folder:CD ~/OpenCVmkdir BUILDCD BuildConfiguration:1 sudo Install CMake 2 sudo cmake-d cmake_build_type=release-d cmake_install_prefix=/usr/local.Compile:sudo make-J8 represents the parallel computing, according to the configuration of their own computer settings, the configuration of the l

The deep learning framework Caffe is compiled and installed in Ubuntu. The deep learning framework Caffe features expressive, fast, and modular. The following describes how to compile and install Caffe on Ubuntu.1. Prerequisites: CUDA is used for computing in GPU mode. We recommend that you use the latest versi

"numpy/coretup.py" appears, line-MB, in Check_types "Cannot compile ' Python.h '. Perhaps you need to " Systemerror:cannot compile ' Python.h '. Perhaps you need to install Python-dev|python-devel. " The reason is that the Python.h file cannot be found, and the dependencies required to install NumPy (including Python.h (in Python-devel)) are: Apt-get BUILD-DEP python-numpy 3 Installation

Test Caffe can be used in Python, we can try to import caffe in Python. Import Caffe If the success of the words can jump directly to the end of the text to see the picture, the failure of the words will often show: Importerror:no module named _caffe The Caffe path is not set correctly, then just come up and configur

Operating system: Ubuntu14.04 64bitsProcessor: Intel Core i7-4790k 8 core 4GHzGPU:GTX TITAN Xcuda:cuda7.0Nvidia Driver: NVIDIA346.72Blas:mklInstallation process:(i) Ubuntu system installationIt is best to install Ubuntu14.04, support the Caffe best, and do not update the system after installing Ubuntu.(ii) Caffe dependenciessudo apt-get

Has not been the habit of blogging, and later found that the previous work if not pay attention to timely collation and records are often lost quickly. For me this is an important article, good habits to persevere, future days I will be resident blog Park! Because this cock level is limited, the IQ is slightly low, welcome big God come to shoot brick. End of nonsense, here is the dry goods:First of all, I spit a bit of Ben's notebook, my current notebook is still a freshman bought Dell INSPIRON

/caffe-windows-master/examples/mymnist/ Train.txt d:/deeptools/caffe-windows-master/examples/mymnist/traingray_lmdbpause(3)--resize_width--resize_height Change picture size (zoom) "Default is Original"(4)--backend need to convert into what format db, optional LEVELDB and Lmdb format "default is Lmdb"D:/deeptools/caffe-windows-master/bin/convert_imageset.exe--back

assembly 3. Boost >= 1.55# Deepdream is caffe with Python and therefore requires Boost.python support Brew Install boost--with-pythonbrew install Boost-python4. OpenCV >= 2.4 including 3.05. Protobuf, Glog, gflagsBrew Install Protobufbrew install glogbrew

First step, install Pycaffe Notebook interface Environment After the successful installation of Caffe in the previous step, it is possible to do the training data set through Caffe or predict various related things, just need to operate through the Caffe command at the command line, and this step Pycaffe installation

following instructions to install: sudo make install error may occur: Error content 1:gcc-4.9:error trying to exec ' cc1plus ': execvp: no that file or directory description GCC is incompatible with the g++ version, as is the case with the GCC version: Install the lower version of GCC and g++:sudo apt-get install gcc-

Dump: LMDBE:\ machine learning 2\caffe data \caffe_root\caffe-master\build\x64\release>convert_imageset.exe e:/machine learning 2/caffe Data/caffe_root/ Caffe-master/examples/myfile/train e:/Machine learning 2/caffe data/caffe_root/caffe