MAGE-SLAM is a simultaneous localization and mapping library written in C++.

This repository is pre-preview and is not ready to be independently consumed at this time.

Currently, only one "golden path" scenario is supported. This "golden path" represents little more than a proof of functionality and should not be considered stable: it will be subject to very frequent changes and improvements as development on this repository continues.

Requirements: Visual Studio 2017 (with components required for C++ development), CMake.

1. Install OpenCV 3.4.0. Installing will create a directory somewhere on your computer (presumably of your choosing) with the OpenCV headers and binaries in it; C:\libraries\opencv is an example of such a path. We will refer to this path henceforth as [OPENCV_INSTALL_DIRECTORY].
2. Clone this repository. Note that this repository uses submodules and thus may have deep directory structures. To avoid problems with overlong file paths, you may want to clone the repository to a shallow location such as C:\repos\mageslam.
3. cd into the MAGE-SLAM repository and install all submodules: git submodule update --init --recursive. Note that some submodules are very large, so this process may take many minutes (Boost, the largest submodule by far, reports cloning times in the range of half an hour).
4. Create a build folder in the repository: mkdir Build.
5. cd into your build folder and generate your project files using CMake: cmake -G "Visual Studio 15 2017" -A x64 -D OpenCV_DIR="[OPENCV_INSTALL_DIRECTORY]" .. (see notes below for information about this command).
6. Launch the Visual Studio solution generated by CMake: start MAGESLAM.sln.
7. The Console app should already be set as the startup project. Build the Console app to build the entire project, or build all using Ctrl+Shift+B. At present, the MAGE-SLAM build (especially the first one) is very slow; be prepared to wait twenty minutes or more for the build to complete.
8. The Console app is currently hardcoded to process a video file located at C:\scratch\video.mp4. You can either place a video in this location or change the Console to look for a video elsewhere.
9. If your OpenCV installation's binaries folder is not in your PATH, the Console app may not be able to launch because it can't find the OpenCV DLLs. The simplest solution to this is simply to copy all three DLLs from [OPENCV_INSTALL_DIRECTORY]\build\x64\vc15\bin and paste them next to the Console.exe Visual Studio is trying to run.

Note: Apart from the source directory, the CMake command provided in step 5 has three arguments: -G mandates the generation of a VS 2017 project, -A specifies x64 as the target architecture, and the final flag tells CMake where to find OpenCV. All three of the arguments are included to make it as straightforward as possible to integrate with the OpenCV 3.4.0 release binaries, which do not support either x86 or versions of Visual Studio higher than 2017. These "golden path" constraints will disappear when our procedure for depending on OpenCV matures.

There is no official deployment mechanism available at this time.

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests to us.

With questions, please contact one of the following maintainers:

• Justin Murray

Security issues and bugs should be reported privately, via email, to the Microsoft Security Response Center (MSRC) at [email protected]. You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Further information, including the MSRC PGP key, can be found in the Security TechCenter.