yolo caffe

On the network there are a lot of Ubuntu on the Caffe configuration environment posts, I follow a lot of them for reference, have appeared more or less errors, many places also have differences.So he tidied up his own installation process, successfully tested, ran through the faster-rcnn. Configure the environment time for the 2017.1.4 system ubuntu16.04One: Graphics driver installation:Because you want to use the GPU, you first need to see your video

is compatible but considered legacyBLAS via ATLAS, MKL, or Openblas.Boost >= 1.55OpenCV >= 2.4 including 3.0Protobuf, Glog, gflagsIO libraries Hdf5, LEVELDB, snappy, LmdbPycaffe and Matcaffe interfaces have their own natural needs.For Python caffe:python 2.7 or Python 3.3+, numpy (>= 1.7), boost-provided Boost.pythonFor MATLAB Caffe:matlab with the Mex compiler.CuDNN caffe:for fastest Operation Caffe is accelerated by drop-in integration of NVIDIA Cu

Caffe's own example of a new project, mainly the configuration include Lib DLLs are pits, but also divided into debug and release two versions.and add input items to be aware of, but also need to be compiled caffe.lib and so on a series of things to copy under the current project.Caffe's other pit is: F0519 14:54:12.494139 14504 layer_factory.hpp:77] Check failed:registry.count (t ype) = = 1 (0 vs. 1) Unknown Layer Type:input (known types:input) was originally to add header files! Http://blog.cs

Caffe (convolution Architecture for Feature Extraction) as a very hot framework for deep learning CNN, for Beginners, Build Linux under the Caffe platform is a key step in learning deep learning, its process is more cumbersome, recalled the original toss of those days, then summed up the Ubuntu14.04 configuration process, convenient later novice can be less detours.1. Installing Build-essentialsInstall some

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-4.9 g++-4.9 after entering/usr/bin : Cd/usr/bin first Delete and gcc5.0 associated Gcc:sudo RM gccsudo RM g++ Build a soft connection sudo ln-s gcc-4.9 gccsudo ln-s g++-4.9 g++ Err

Generally do not want to use Caffe Matlab interface, always feel that the Linux version of MATLAB is difficult to configure, but now engage in target detection, the source code is used Caffe Matlab interface, can only bite the bullet on the.(1) Modify Caffe-master/makefile.configThis step is mainly to add the path to MATLAB in Caffe's compiled configuration file

This is the fourth example in the official Caffe document notebook examples, link address: http://nbviewer.jupyter.org/github/bvlc/caffe/blob/master/examples/03- Fine-tuning.ipynb This example is used to fine-tune flickr_style data on a trained network. Fine-tune your data with a trained Caffe network. The advantage of this approach is that with the training netw

The Caffe operation provides three interfaces: C + + interface (command line), Python interface, and MATLAB interface. This article first parses the command line, followed by the other two interfaces.Caffe's C + + main program (CAFFE.CPP) is placed in the Tools folder under the root directory, and of course there are some other feature files, such as: Convert_imageset.cpp, Train_net.cpp, Test_ Net.cpp, etc. are also placed in this folder. After compil

The format of the Convert.bat isConvert_imageset.exe position + Space +flags+ space + picture location + Space + The location of the list you generated + space + the location to save the DB format to be generatedIt is recommended to use absolute location!!!Example:D:/deeptools/caffe-windows-master/bin/convert_imageset.exe--shuffle--resize_height= --resize_width= d:/deeptools/caffe-windows-master/data/re/d:

Caffe Installation Guide-vomiting blood finishingObjective:It is easy to install Caffe on a Linux machine with a good system environment, but if the system itself is old and there is no GPU, the installation is too cumbersome and all has to be done from scratch, and this document is designed to cover as much of the pit as possible for installation.Steps:First, the Caffe