caffe install

MATLAB2013A, it is found that the terminal uses MATLAB prompt: Command not found. This is the icon and support that requires the installation of MATLAB. Open the Software center that comes with Ubuntu and search for MATLAB. MATLAB will appear, click Install. A MATLAB Interface Configuration window will pop up. Prompt to enter MATLAB install location Fill in the installation directory of MATLAB in the input

PROTOBUF is a protocol interface which can realize the exchange between memory and external storage. This is the open source tool that is developed by Gu GE, use when researching Caffe source code now. A software project = data structure + algorithm + parameter, for data structure and algorithm we have been more research, but different developers on the parameter management has its own advantages. Some people like the TXT format of the parameter file,

Reference blog:1. Installation, configuration and testing of CUDA7.5 in Win7 Environment (VS2010)2, Win7_64bit + VS2013 + CUDA7.5 + Opencv2.4.10 successfully configured Caffe environmentPrecautions:1. Cuda's usefulness: At present, with the progress of hardware technology, the GPU (graphics processing Unit, graphic processor) is used to train and realize the neural network algorithm. The basis of GPU computing is NVIDIA's CUDA environment.2. The major

Follow the online tutorials to configure the Caffe environmentMake All-j8Finally appearedNon-virtual thunk to caffe::baseprefetchingdatalayerinternalthreadentry ()Finally a variety of search, Google, unexpectedly in http://discuss.cocos2d-x.org/t/error-non-virtual-thunk-to-cocos2d-cclayer-cctouchbegan/9061 in aAn answer was found in the answer because of a time-related problem in multiple classes of inherit

How to add a new type of layer in CaffeReference: https://github.com/BVLC/caffe/issues/684 ADD a class declaration for your layer to the appropriate one of COMMON_LAYERS.HPP,DATA_LAYERS.HPP, LOSS_LAYERS.HPP, neuro N_LAYERS.HPP, or VISION_LAYERS.HPP. Include an inline implementation of type and the *blobs () methods to specify BLOB number requirements. Omit THE*_GPU declarations If you ' ll is implementing CPU code. Implement your layer in layers

Sample Code for caffe feature Visualization Many readers read the previous two articles Summarize the research process of using caffe to run image data. Summary of deep learning practical experience 2-accuracy improved again, reaching 0.8. Then, I want to know how to implement feature visualization. To put it simply, it is to let the neural network spread forward once, then extract the feature values of a

Python to do deep learning caffe design CombatEssay background: In a lot of times, many of the early friends will ask me: I am from other languages transferred to the development of the program, there are some basic information to learn from us, your frame feel too big, I hope to have a gradual tutorial or video to learn just fine. For learning difficulties do not know how to improve themselves can be added: 1225462853 to communicate to get help, acce

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

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

This article refers to the following: Instant Recognition with CaffeExtracting Features Caffe Python feature Extraction Caffe Practice 4--Use Python to bulk extract Caffe Compute features--by banana melodyCaffe Exercise 3 Use the C + + function provided by Caffe to extract image features in batches--by banana melody

exitsudo ldconfigSince this opencv2.4.9 installation is complete!2. Install using the GitHub installation script 1. Download the installation script: Https://github.com/jayrambhia/Install-OpenCV2. Unzip the script and enter the appropriate installation folder for the system.Unzip Install-opencv-master.zipCD Install-op

For example, now to add a vision layer, called Ly_layer: (generally named the first letter uppercase, the remaining lowercase.) ）1, which type of layer (a total of five species:common_layer, Data_layer, Loss_layer, Neuron_layer, Vision_layer ), open which HPP file (caffe-master/include/caffe/), open vision_layers.hpp here, and then add the definition of the layer yourself, or copy it directly Convolution_ L