caffe install

Read about caffe install, The latest news, videos, and discussion topics about caffe install from alibabacloud.com

Caffe no GPU environment to build

setuptools-19.2.tar.gz[email protected]:~# cd setuptools-19.2[email protected]:~/ setuptools-19.2# lsbootstrap.py ez_setup.py msvc-build-launcher.cmd release.py Setuptools.egg-infochanges.txt launcher.c pkg-info scripts testsconftest.py Makefile pkg_resources setup.cfg tox.inidocs manifest.in pytest.ini setup.pyeasy_ install.py _markerlib README.txt setuptools[email protected]:~/setuptools-19.2#

Run your own data with Caffe, Windows-based Caffe

This article describes in detail how to use Caffe to run their own image data for classification.1 first need to install the process see http://www.cnblogs.com/love6tao/p/5706830.html at the same time, according to the above tutorial, generated Caffe.exe2 Build your own data set. Divided into train and Val two datasets, this experiment for 2 classification tasks, one is to include the image of the car, one

"Caffe" Ubuntu installation Caffe GPU version

Installation environment: Ubuntu 16.04lts 64-bit, gcc5.4 gpu1080ti,cuda8.0,cudnn5.1.101. Installing dependent librariessudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev Libboost-all-dev Protobuf-compilersudo apt-get Install Libatlas-base-dev libgflags-dev libgoogle-glog-dev Liblmdb-dev2. Installing CaffeTerminal Input Command:git clone git://github.com/bvlc/c

"Caffe" Ubuntu16.04 Configuration Installation Caffe (only CPU)

First, look at your own system, UBUNTU16.04,CPU, no nvidia, no OPENCVSecond, install the dependency package Install PROTOBUF,LEVELDB,SNAPPY,OPENCV,HDF5, protobuf compiler andboost: sudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf- Compilersudo apt-get in

Caffe Beginner Part II: Detailed procedure for installing Caffe (CPU) +matlab2014a+opencv3 on Ubuntu16.04 (pro-Test success, 20180529 update)

following blog:Https://www.cnblogs.com/nowornever-L/p/5649078.htmlAt this point, students you should install the above environment, the next step into our exciting moment!STEP1: Open terminal, enter:sudo apt-get updateSTEP2: Install the necessary dependencies:sudo apt-get install git sudo apt-get install libprotobuf-d

Ubuntu14.04+cuda6.5+opencv2.4.9+matlab2013a+caffe Configuration Record (v)--Installation Caffe

/lib/intel644. Complete the Lib file connection operation, execute:sudo ldconfig–v 3. Install Caffe1. Installation dependencies:sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev Libopencv-dev Libboost-all-dev Libhdf5-serial-dev 2. Edit Makefile.config Switch to Caffe file directory:cd/home/fische/caffe-

Drink Caffee side Caffe (a) Caffe installation

Caffe installation is very troublesome, especially my last choice is to install on Windows, really not easy. Caffe in Ubuntu installation is relatively simple, a lot of information, later installed and then write the installation process. Here are some references to the Caffe installation process on Windows. Https://g

One of Caffe Learning: Caffe Configuration and compilation __caffe

Recently, in learning deep learning, the tool used is caffe, easier to use, not long-winded, first of all, said the configuration and compilation of the environment. the platform of the system is win10+matlab2014b+vs2013. Before starting, to install the Cuda driver, I use the Cuda 7.5 version (to sync with the version used inside the Caffe). First, in https://

Go Caffe build: Frequently asked questions solutions and problems with Ubuntu (continuous update)

methodExport Pythonpath=/home/username/caffe/pythonView PathEcho $PYTHONPATH4.Ubuntu cannot write files to exFAT and NTFS-formatted disksProblem Description: The disk for the XX was not a ready yet or not presentACPI PCC probe failedHow to resolve:sudo su #获取root权限mount-o remount,rw/dpkg--configure-a5.caffe Python Interface configuration issuesAfter using the make PYCAFFE-J8 command to complete the

"21 Days Combat Caffe" study notes (i) Ubuntu16.04+caffe environment construction

Pre-Installation Preparation work:sudo Install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-Compiler sudoinstall --no-install-recommends libboost-all-devsudo Install libatlas-base-devsudoinstall the python-devsudo Install Libgflags-dev libgoogle-glog-dev Liblmdb-dev "Option

Windows7+visual Studio 2013+cuda7.5 Compilation Caffe

GitHub Be sure to note that brand there chooses windows Next, in turn: Install the Visual Studio 2013-> installation Cuda 7.5-> compilation Caffe2. Install Visual Studio 2013Specific installation methods see: Installing Visual Studio 20133. Installing cuda7.5Installation method and Theano installation (ii) Windows installation Visual Studio 2010 and Cuda in Cuda installation method is the

Caffe Learning Series (i) Ubuntu16.04 build Caffe environment and run mnist example (CPU only)

Objective:Body:1. Install the necessary dependent packages:sudo Install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-Compiler sudoinstall --no-install-recommends libboost-all-devsudo Install libatlas-base-devsudoinstall python-devsudo Ins

Caffe + Ubuntu 15.04 + CUDA 7.5 Novice Installation Configuration Guide

website of the issues and Caffe-user forum, as well as Google and Baidu. Refer to this guide, please download the latest version of Caffe-master, many of the new version of the file has been changed.5. Last Updated: March 13, 2016. This update shows you how to install the latest version of Caffe-master in the most str

Nvidia DIGITS Learning Notes (nvidia DIGITS-2.0 + Ubuntu 14.04 + CUDA 7.0 + CuDNN 7.0 + Caffe 0.13.0)

NVIDIA DIGITS-2.0 + Ubuntu 14.04 + CUDA 7.0 + CuDNN 7.0 + Caffe 0.13.0 Environment configuration Introduction Digits Introduction Digits characteristics Resource information Description Digits installation Hardware and Software Environment Hardware environment Software Environment Operating system Installation Digits Pre-Installation preparation

"Caffe-windows" Caffe-master cifar10 Super Detail

This tutorial as far as possible, most of the steps have a diagram, if you run an error, please check your own files and the same as on the map, including punctuation ah, space Ah, slash, anti-slash ah, such as small details.This routine is performed under the Win10 64-bit Caffe-master vs2013, and the GPU version has been configured and, if CPU, changed in Cifar10_quick_solver.prototxt# Solver MODE:CPU or GPUSolver_mode:cpuAbstract:

Caffe Convert TensorFlow Tool caffe-tensorflow

Introduction and use of Caffe-tensorflow conversion Caffe-tensorflow can convert Caffe network definition file and pre-training parameters into TensorFlow form, including TensorFlow network structure source code and NPY format weight file.Download the source code from GitHub and enter the source directory to run convert.py.Its invocation format is Python convert

Caffe︱ build Lmdb datasets and set up a fine-grained solution for each file path name

RESIZE_HEIGHT=0 RESIZE_WIDTH=0Note: Here resize is generally false close, is not to make the picture size modification, this side if need to make picture correction need to open.This is generally the same size that needs to be unified.when asked--resize=true, do you need to install OPENCV? Answer: No, not a module2. File Run and checkSh or come to the folder directly./create_imagenet.sh.If this data pack all of our training picture data, check if t

"Caffe C + + interface use Description II" caffe_windows the use of C + + interface __c++

reproduced from: http://blog.csdn.net/happynear/article/details/45372231 Note:1 has succeeded in following this configuration and successfully tested the C + + interface for Windows Caffe 2) This first blog is the first step: reconfiguring a Caffe environment under Windows 0. Recent Updates The content of this blog is all outdated and obsolete, need Caffe Windo

Windows Caffe (iii) Conversion of image data to Caffe data that can be run

When running the two examples of Caffe, our data comes from the Internet, which is a binary file that is downloaded directly.But most of us use raw picture data (such as. jpg. PNG, etc.), and then we'll look at how to convert the original image data into data that Caffe can run.1. Prepare picture data Caffe after the installation is complete, there will be four.

The classification and application of model in "Caffe-windows" Caffe-master matlab

This article describes how to use the well-trained model for image classification in MATLAB. Will take mnist as an example, the main use of Caffe-master\matlab\demo under the CLASSIFICATION_DEMO.M, can refer to my previous blog "Caffe-windows" Caffe-master CLASSFICATION_DEMO.M Ultra-Detailed analysis (http://blog.csdn.net/u011995719/article/details/54135189)First

Total Pages: 15 1 2 3 4 5 6 .... 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.