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
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
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
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
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://
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
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
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
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:
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
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
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
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.
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
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