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matlabbe
2016-04-17 10:25:37 -04:00
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@@ -38,7 +38,7 @@ source ~/catkin_ws/devel/setup.bash
0. Optional dependencies
* If you want SURF/SIFT on Indigo/Jade (Hydro has already SIFT/SURF), you have to build [OpenCV]([OpenCV](http://opencv.org/)) from source to have access to *nonfree* module. Install it in `/usr/local` (default) and the rtabmap library should link with it instead of the one installed in ROS. I recommend to use latest 2.4 version ([2.4.11](https://github.com/Itseez/opencv/archive/2.4.11.zip)) and build it from source following these [instructions](http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html#building-opencv-from-source-using-cmake-using-the-command-line). RTAB-Map can build with OpenCV3+[xfeatures2d](https://github.com/Itseez/opencv_contrib/tree/master/modules/xfeatures2d) module, but rtabmap_ros package will have libraries conflict as cv-bridge is depending on OpenCV2. If you want OpenCV3, you should build ros [vision-opencv](https://github.com/ros-perception/vision_opencv) package yourself (and all ros packages depending on it) so it can link on OpenCV3.
* ROS (Qt, PCL, dc1394, OpenNI, OpenNI2, Freenect, g2o, Costmap2d, Rviz, Octomap, CvBridge). Note that I've found that [latest g2o version](https://github.com/RainerKuemmerle/g2o) built from source is faster (install `libsuitesparse-dev` before building `g2o`).
* ROS (Qt, PCL, dc1394, OpenNI, OpenNI2, Freenect, g2o, Costmap2d, Rviz, Octomap, CvBridge). Note that I've found that [latest g2o version](https://github.com/RainerKuemmerle/g2o) built from source is faster (install `libsuitesparse-dev` before building `g2o`) and would be [required to avoid some crashes](http://official-rtab-map-forum.67519.x6.nabble.com/ROS-2D-occupancy-grid-tp1204p1215.html).
```bash
$ sudo apt-get install libqt4-dev libpcl-1.7-all-dev libdc1394-dev ros-indigo-openni-launch ros-indigo-openni2-launch ros-indigo-freenect-launch ros-indigo-costmap-2d ros-indigo-octomap-ros ros-indigo-g2o ros-indigo-rviz ros-indigo-cv-bridge
```