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Copy file name to clipboardExpand all lines: README.md
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### Dependencies
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The code relies on [vlfeat](http://www.vlfeat.org/), and [matconvnet](http://www.vlfeat.org/matconvnet), which should be downloaded and built before running the experiments.
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Run git submodule update -i in the repository download folder.
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To build `vlfeat`, go to `<deep-fbanks-dir>/vlfeat` and run make; ensure you have MATLAB executable and mex in the path.
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After cloning the `deep-fbanks` repository, run:
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`git submodule update -i`
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in the repository download folder. This will download the matconvnet and vlfeat repositories.
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To build `vlfeat`, go to `<deep-fbanks-dir>/vlfeat` and run `make` in the shell, before running `vl_setup.m`. ensure you have MATLAB executable and mex in the path.
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Ensure you have CUDA installed, and nvcc in $PATH.
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To build `matconvnet`, in MATLAB, go to `<deep-fbanks-dir>/matconvnet/matlab` and run:
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`mex -setup C++`
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`vl_compilenn('enableGPU', true)`
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To build `matconvnet`, go to `<deep-fbanks-dir>/matconvnet/matlab` and run `vl_compilenn`; ensure you have CUDA installed, and nvcc in the path.
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For LLC features (Table 3 in arxiv paper), please download the code from [http://www.robots.ox.ac.uk/~vgg/software/enceval_toolkit](http://www.robots.ox.ac.uk/~vgg/software/enceval_toolkit) and copy the following to the code folder (no subfolders!)
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