156 lines
6.6 KiB
Markdown
156 lines
6.6 KiB
Markdown
# Basalt for Monado
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This is a fork of [Basalt](https://gitlab.com/VladyslavUsenko/basalt) with some
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modifications so that it can be used from Monado for SLAM tracking. Many thanks
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to the Basalt authors.
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Follow this file for instructions on how to get Basalt up and running with
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Monado. This README tries to be as concise as possible, but there are many
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details that need to be addressed on it, so please do not skip any section,
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otherwise it is likely that it won't work. Having said that, this guide has
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been tested in limited setups, so please report any changes you had to make
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in order to get it working in different ones.
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## Index
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- [Basalt for Monado](#basalt-for-monado)
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- [Index](#index)
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- [Installation](#installation)
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- [Build and Install Directories](#build-and-install-directories)
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- [Dependencies](#dependencies)
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- [Build Basalt](#build-basalt)
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- [Running Basalt](#running-basalt)
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- [Monado Specifics](#monado-specifics)
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- [Notes on Basalt Usage](#notes-on-basalt-usage)
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- [Using Real Hardware](#using-real-hardware)
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## Installation
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This was tested on both Ubuntu 20.04 and 18.04, be sure to open an issue if the
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steps don't work for you. The main branch of this fork is
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[`xrtslam`](https://gitlab.freedesktop.org/mateosss/basalt/-/tree/xrtslam).
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### Build and Install Directories
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To not clutter your system directories, let's set two environment variables,
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`$bsltdeps` and `$bsltinstall` that point to existing empty build and install
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directories respectively. These directories will contain everything produced in
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this guide besides installed apt dependencies.
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```bash
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# Change the paths accordingly
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export bsltinstall=/home/mateo/Documents/apps/bsltinstall
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export bsltdeps=/home/mateo/Documents/apps/bsltdeps
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```
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Let's extend our system paths with those.
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```bash
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export PATH=$bsltinstall/bin:$PATH
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export PKG_CONFIG_PATH=$bsltinstall/lib/pkgconfig:$PKG_CONFIG_PATH # for compile time pkg-config
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export LD_LIBRARY_PATH=$bsltinstall/lib/:$LD_LIBRARY_PATH # for runtime ld
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export LIBRARY_PATH=$bsltinstall/lib/:$LIBRARY_PATH # for compile time gcc
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```
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### Dependencies
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Most dependencies will be automatically built by basalt, however there are some
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known issues you might need to deal with (click to open the ones that might
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affect you).
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<details>
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<summary>Issues with GCC 11</summary>
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If you are using GCC 11 you might also get some issues with pangolin as there is now a
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[name clash with Pagolin `_serialize()` name](https://github.com/stevenlovegrove/Pangolin/issues/657),
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it [should be fixed](https://gcc.gnu.org/bugzilla/show_bug.cgi?id=100438#c12)
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in newer versions of GCC-11. For fixing it yourself, you can cherry-pick
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[these commits](https://github.com/stevenlovegrove/Pangolin/pull/658/commits),
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or use a different GCC version.
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(see
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[this discord thread](https://discord.com/channels/556527313823596604/556527314670714901/904339906288050196)
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in the Monado server for more info).
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</details>
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### Build Basalt
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```bash
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cd $bsltdeps
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git clone --recursive git@gitlab.freedesktop.org:mateosss/basalt.git
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./basalt/scripts/install_deps.sh
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sed -i "s#/home/mateo/Documents/apps/bsltdeps/#$bsltdeps/#" basalt/data/monado/*.toml
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cd basalt && mkdir build && cd build
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cmake .. -DCMAKE_INSTALL_PREFIX=$bsltinstall -DCMAKE_BUILD_TYPE=RelWithDebInfo -DBUILD_TESTS=off -DBASALT_INSTANTIATIONS_DOUBLE=off
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make install -j12
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```
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### Running Basalt
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This step is optional but you can try Basalt without Monado with one of the following methods:
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- Through an EuRoC dataset (be sure to [download
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one](http://robotics.ethz.ch/~asl-datasets/ijrr_euroc_mav_dataset/vicon_room1/)
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first): `basalt_vio --dataset-path /path/to/euroc/V1_01_easy --cam-calib
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$bsltdeps/basalt/data/euroc_ds_calib.json --dataset-type euroc --config-path
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$bsltdeps/basalt/data/euroc_config.json --marg-data ~/Desktop/euroc_marg_data
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--show-gui 1`
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- With a RealSense T265 (you'll need to get a `t265_calib.json` yourself as
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detailed [below](#configuring-basalt) but meanwhile you can try with [this
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file](https://gitlab.com/VladyslavUsenko/basalt/-/issues/52) instead):
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`basalt_rs_t265_vio --cam-calib $bsltdeps/basalt/data/t265_calib.json
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--config-path $bsltdeps/basalt/data/euroc_config.json`
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- With a RealSense D455 (and maybe this also works for a D435):
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`basalt_rs_t265_vio --is-d455 --cam-calib
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$bsltdeps/basalt/data/d455_calib.json --config-path
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$bsltdeps/basalt/data/euroc_config.json`
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### Monado Specifics
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Note: be careful when manually enabling ASan when building Monado as some
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crashes have been reported. I'm still trying to figure out why those happen.
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Run an OpenXR app like `hello_xr` with the following environment variables set
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```bash
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export EUROC_PATH=/path/to/euroc/V1_01_easy/ # Set euroc dataset path. You can get a dataset from http://robotics.ethz.ch/~asl-datasets/ijrr_euroc_mav_dataset/vicon_room1/V1_01_easy/V1_01_easy.zip
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export EUROC_LOG=debug
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export EUROC_HMD=false # if false, a fake controller will be tracked, else a fake HMD
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export EUROC_PLAY_FROM_START=true
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export SLAM_LOG=debug
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export SLAM_SUBMIT_FROM_START=true
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export SLAM_CONFIG=$bsltdeps/basalt/data/monado/euroc.toml # Point to Basalt config file for Euroc
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export OXR_DEBUG_GUI=1 # We will need the debug ui to start streaming the dataset
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```
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Finally, run the XR app and press start in the euroc player debug ui and you
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should see a controller being tracked with Basalt from the euroc dataset.
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## Notes on Basalt Usage
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- Tracking is not perfect, [this](https://youtu.be/mIgRHmxbaC8) and
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[this](https://youtu.be/gxu3Ve8VCnI) show how it looks, as well as the
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problems that it has (difficulties with rotation-only movements, wiggliness on
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fast movements, etc)
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- This fork only works with Stereo-IMU setups, but adapting Basalt to work with
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other configurations should feasible (see
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[granite](https://github.com/DLR-RM/granite)).
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- Basalt is _fast_. While the standard sampling rate is stereo 640x480 at 30fps
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I've been able to make it work at 848x480 at 60fps without problems on a
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laptop.
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- Some things that might cause crashes:
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- Using images with bad exposure and gain values, or being in a dark room.
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- Shaking causes drift that can diverge if maintained for long periods of
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time.
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- Continuously making sudden 90 degree rotations in which the new scene does not share
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features with the previous scene.
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- Moving too fast and/or making rotation only movements over extended periods
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of time.
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## Using Real Hardware
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Monado has a couple of drivers supporting SLAM tracking (and thus Basalt). Here is how to set them up:
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- [RealSense Driver](doc/monado/Realsense.md)
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- [WMR Driver](doc/monado/WMR.md)
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- [Vive Driver (Valve Index)](doc/monado/Vive.md)
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