yolo caffe

previous: Own distorted understanding Some time ago with the MATLAB feature, after all, I am small white, matlab is the easiest for me to program (although, Daniel's structure is very good, I can only waste time complexity, alas ~ ~ ~), but the effect is still possible. Recently need to rewrite the code with Python, from yesterday day to this morning, I use Python features and MATLAB is not the same .... Oh, my God.... How could it be. The same structure, the same parameters, the same picture, h

Cifar10 training steps are as follows: (1) Open the terminal, apply the CD switch path, such as CD ~/caffe/data/cifar10, (2) Continue to execute the order./get_cifar10.sh, (3) After the successful download of the dataset, execute LS is visible to the downloaded data file, (4) Switch the path again to the CD ~/caffe/examples/cifar10 (5) Continue to execute the order./create_cifar10.sh The system does n

After the MATLAB path in the Makefile.config file is changed to the path of its own installation, using the command make Matcaffe always unsuccessful, rage sudo make cleam, the result of the cleanup solution succeeded. Details are as follows: My GCC version is 4.8.7,matlab version 2013b, just started with Matcaffe times wrong GCC version is too high, must use 4.4.x version, helpless, the Internet to find solutions: $sudo apt-get Install gcc-4.4 $sudo update-alternatives--INSTALL/USR/BIN/GCC gcc/

Recently, the need to transplant faster-rcnn detect parts to the Android platform, to facilitate the deletion of code and debugging, the need for cross-platform compatibility to run under Windows, Windows debugging, With the Linux model definition proto and training good binary model, but the load model has not been successful, step-by-step solution is as follows: (1) Check the PROTOBUF version, are 2.5.0, it is not possible because of incompatible version; (2) Check Cafe.proto, this file in Li

In fact, the installation of Caffe has been introduced very clearly, and there is no lack of introduction Caffe article, the reason for this is written because this is a Chinese version, and then I was in the lab server installation encountered a lot of problems, I think Up-and may encounter, so posted out Caffe Installation Guide under the Linux platform 1. S

Original link: http://blog.csdn.net/yhl_leo/article/details/51371936 The second case of this blog post was encountered while compiling Caffe, which can be correctly executed when corrected: (Note that you can use make all-j16 depending on your computer) Sort out some of the compilation errors and workarounds that have recently been encountered with the Caffe project. 1 CuDNN CUDNN the latest version is V5

Since I am involved in a license plate recognition system project, I plan to use the Deep Learning Library Caffe to identify the license plate characters. Starting with Caffe, I'm going to use each of the network models in the example first, and of course the violent use is not going to have a good result--| | | , so here is just a sample of the network model using the steps, the accuracy of the final test

The default compilation installation in Caffe uses the Atlas library, but this version of Blas does not utilize multi-core CPUs, and Openblas is required to accelerate caffe using multi-core parallel computing. Let's talk about how to use Openblas. After the default compilation of Caffe, we see a single-threaded version of Openblas using the "ldd Build/tools/

01 making Caffe release Caffe provides the makefile command to make a release version of LinuxWhen you are finished compiling Caffe Pycaffe Matcaffe, run make Distribue to create the release version of Caffe. Run under the Caffe root directory: Make Distribue The results o

Always wanted to use DL for their current research in Image retrieval, in fact, the boy in the previous blog deep Learning for content-based Image retrieval on the use of DL to do a search paper also did some research. As you can see, the DL is now very hot, but it does not seem to have much use for image retrieval. This sky just to sneak in, in Ubuntu12.04 Caffe, success, can only say configuration up really very egg pain. The following is their own

Caffe is generally installed under the Linux system, online about the installation of Windows Tutorial tutorial, and each tutorial is not very full, I am here to summarize the process and all the solutions to the bug.I am the Win10+gtx1080+vs2013,matlab interface I am matlab2016a.1. Install Visual Studio 2013 first. It's not much of a difficulty, just download and install it online.2. Download Caffe.https://github.com/microsoft/

In the routines provided by Caffe, such as Mnist and Cifar10, the preparation of datasets is done by calling code themselves, and for the ImageNet1000 class database, for the university laboratory, often facing the embarrassment of insufficient computer memory. For the application, it is more important to train and test the data sets that are suitable for their own conditions in Caffe. So it is necessary fo

This are based on Caffe GitHub Wiki Guide (https://github.com/BVLC/caffe/wiki/ Ubuntu-16.04-or-15.10-installation-guide)Some parts of it has been changed to suit my computer.　　The following guide includes the how-to instructions for the installation of Bvlc/caffe in Ubuntu 16.04 (preliminary proce Dure does not function with the current Cuda Toolkit) or 15.10 Lin

directory StructureMain files under Caffe folder: dataTraining data for storing downloads docsHelp documentation exampleSome sample code matlabMatlab interface file pythonPython interface file modelSome well-configured model parameters scriptsScripts for some documents and data The following is the core code folder: toolsThe saved source code is used to generate binary handlers, and

In the second year of Master's degree, he threw himself into the wave of deep learning. From the previous inertial navigation to this direction, everything starts from the beginning, here, only in this article to record their own way of playing strange.The initial idea is to get familiar with Caffe, considering the difficulty of getting started with the Ubuntu , so start with the basics in Windows. There is an episode in which the desktop can only be

When using Caffe, we want to use our own data for training, and here's how to make your own data. All data production is based on imagenet.1. Data preparation, we need a train and valid folder, a train.txt and Val.txt (the location of the picture folder can be arbitrary, but the location of the two TXT files in the data/mydata/directory)The train and valid folders naturally store the images to be trained, and the data formats for Train.txt and Val.txt

1. Install the dependent environment first,% sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler libatlas-base-dev% sudo apt-get install --no-install-recommends libboost-all-dev% sudo apt-get install python-dev python-pip python-numpy gfortran2.然后创建 virtual --system-site-packages caffe-env,执行 source bin/activate,3.运行for req in $(cat requiremen

The MATLAB program in Caffe supports 4. 7 of GCC and UBUNTU14. 04 of the band's own GCC is 4. 8 so it will be wrong to compile. So we'll install GCC4 first. 7, installation method can be checked online, as if sudo apt-get install gcc-4.7 and there are two versions of GCC, so you need to set the default GCC version in the following way we will install the g++ also installed on the g++4.7, so we replace the following: CD /usr/binsudo mv gcc gcc.baksudo

Recent new contact depth learning starts with getting started: The new Installation Cuda,caffe installation process is simple, there are all over the Internet1: Disable the Nouveau driver before you install CudaPress CTRL+ALT+F1 to enter the command prompt to create a new blacklist file# sudo vi/etc/modprobe.d/blacklist-nouveau.confInputBlacklist nouveauoptions nouveau modset=0Save exit (: Wq)And then execute# sudo update-initramfs-uExecutive Lspci |

Official Installation ManualRemark: Using the system-Ubuntu 15.04 64-bit operating system (if the system is on a virtual machine, Ubuntu will not be able to enter the GUI after Cuda is installed)/**************************************************/Preparatory work: Cuda,openblas,boost, PROTOBUF,OPENCV, Python/**************************************************/Method One:Install Caffe Official Manual on Ubuntu system (the artifact was not seen on the fi