62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
# Functional MRI for Neural Networks
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An attempt to create real-time in depth visualisation for neural
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networks.
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## Requirements
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The following programs/libraries need to be installed on your system:
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- CMake (at least 3.8)
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- Caffe
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- Google log (glog)
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- OpenCV (at least 2.6, 3.x works fine.)
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- Boost System
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- PNG++
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Note that most of these are dependencies of Caffe, and thus will
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probably already be on your system. For OS-specific instructions, see
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below.
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### Arch Linux
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1. Install either `caffe` or `caffe-cpu` from the AUR.
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2. Install other dependencies:
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- `png++`
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- `cmake`
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- `freeglut`
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3. Do the build as normal
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### Ubuntu
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Caffe is available from the Ubuntu repositories from version 17.10
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(Artful Aardvark) onwards, and can be used to simplify the installation
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process. The commands required are as follows:
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# Install dependencies
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sudo apt install caffe-cpu-dev freeglut3-dev libpng++-dev build-essential cmake
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# Do the build normally
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Older versions of Ubuntu need some help, as the `caffe` package does not
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exist, and the supplied `cmake` version is too old.
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1. First, install a recent version of [cmake](https://cmake.org/). Any
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version from 3.8 onwards will do.
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2. Then, install caffe from source. Installation instructions can be
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found [on the Caffe
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website](http://caffe.berkeleyvision.org/install_apt.html). Be sure
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to also install the development headers.
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3. Run the build as normal.
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## Building
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The build process is based on CMake. This means you can easily create a
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build as follows. Starting from the project root:
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mkdir build && cd build
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cmake ..
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make
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Compilation is a little slow due to the inclusion of Boost.
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