In-depth learning 21 days actual combat caffe study notes "0: caffe package analysis
caffe package analysis (linux)
First, the catalog picture
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①buildFolder for storing compilation results ②camke folder, will be used when using cmake ③Data folder, used to store the original data and the script to obtain new data, which contains cifar10, ilsvrc12, mnist data ④distribute folder, the location where the release package is generated after compilation ⑤ Docker folder, use Docker tool for migration ⑥ The docs folder contains documents with a lot of explanatory content, especially the tutorial ⑦examples folder,example ⑧includeFolders, header files ⑨Matlab folder, related to some operations of matlab ⑩modelsfolder, Installed models of deeplearning eg: each model's prototxt contains: deploy.prototxt describes the structure of this network, solver.prototxt describes hyperparameter configuration information train_val.prototxt is also the network structure described ⑪Python folder, some operations related to python ⑫scripts folder, used to store scripts ⑬src folder, Store CaffeSource codeThe place ⑭tools folder, Commonly used toolsSource code |
Focus:
① Source code: Mainly focus on the three folders src, tools and include;
②Example: Mainly use the three folders of build, models, examples
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