diff --git a/README.md b/README.md index 16f0287..a53a0c0 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ start working with Lidar -based SLAM -in Python or C++. (For those interested in Matlab or Java, there is a +in Python or C++. (For those working in Matlab or Java, there is a [legacy](https://github.com/simondlevy/BreezySLAM/tree/legacy) branch, which I am no longer maintaining.) BreezySLAM works with Python 2 and 3 on Linux and Mac OS X, and with C++ on Linux and Windows. By using Python C extensions, we @@ -125,7 +125,9 @@ both packages, you can run the xvslam.py example in the BreezySLAM/exa Just cd to BreezySLAM/cpp, and do -   

sudo make install

+
+sudo make install
+
This will put the libbreezyslam shareable library in your /usr/local/lib directory. If you keep your shared libraries elsewhere, just change the LIBDIR