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fmdt
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Fast meteor detection toolbox
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fmdt
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# Fast Meteor Detection Toolbox [](https://readthedocs.org/projects/fmdt/) ## Purpose *Fast Meteor Detection Toolbox* or **FMDT** is a toolbox **designed to detect meteors**. FMDT is foreseen to be applied to airborne camera systems, e.g. in atmospheric balloons or aircraft. **It is robust to camera movements by a motion compensation algorithm.** **FMDT is ready for real-time processing on small boards like Raspberry Pi 4** or Nvidia Jetson Nano for embedded systems. For instance, on the Raspberry Pi 4 (@ 1.5 GHz), FMDT is able to compute **30 frames per second** on a HD video sequence while the instant power is only **around 4 Watts**.  ## Dependencies This project uses `ffmpeg-io`, `nrc2`, `c-vector` and `streampu` projects as Git submodules, **you need to download them with the following command**: ```bash git submodule update --init --recursive ``` Note that `ffmpeg-io` requires the `ffmpeg` executable: **you need to install `ffmpeg` on your system** if you want to be able to read video files. In addition, if you want to enable text indications in generated videos/images, the `OpenCV` library is required. On Debian like systems you can easily install these packages with the `apt` package manager: ```bash sudo apt install ffmpeg libopencv-dev ``` ## Compilation with CMake ```bash mkdir build cd build cmake .. -DFMDT_OPENCV_LINK=ON -DFMDT_SPU_RUNTIME=ON -DCMAKE_BUILD_TYPE=RelWithDebInfo -DCMAKE_CXX_FLAGS_RELWITHDEBINFO="-O3 -g" -DCMAKE_C_FLAGS_RELWITHDEBINFO="-O3 -g" -DCMAKE_CXX_FLAGS="-Wall -funroll-loops -fstrict-aliasing -march=native" -DCMAKE_C_FLAGS="-Wall -funroll-loops -fstrict-aliasing -march=native" make -j4 ``` ## Examples of Use Download a video sequence containing meteors here: https://perso.lip6.fr/adrien.cassagne/data/tauh/in/2022_05_31_tauh_34_meteors.mp4. ### Meteors Detection Run the meteors detection on the previous video sequence: ```shell ./bin/fmdt-detect --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 ``` Write tracks and bounding boxes into text files for visualization (`fmdt-visu`): ```shell ./bin/fmdt-detect --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 --log-path ./detect_log --trk-roi-path ./tracks_2_rois.txt ./bin/fmdt-log-parser --log-path ./detect_log --trk-roi-path ./tracks_2_rois.txt --trk-path ./out_detect_tracks.txt --trk-bb-path ./out_detect_bb.txt ``` ### Visualization Run the visualization tool to output a video sequence with highlighted detection: ```shell ./bin/fmdt-visu --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 --trk-path ./out_detect_tracks.txt --trk-bb-path ./out_detect_bb.txt --vid-out-path out_visu.mp4 ``` ## User and Developer Documentation The documentation of this project is hosted by Read the Docs: - https://fmdt.readthedocs.io To compile the documentation from the sources, refer to the readme file in the `./doc/` folder. ## Derivative Projects ### `pyFMDT` `pyFMDT` has been created to exploit the results provided by FMDT. It performs astrophotometry computations and outputs the position and magnitude of each detected meteor as a function of time. If you are interested, please visit the following repository: - https://gitlab.com/vaubaill/pyfmdt ## List of Contributors This toolbox is mainly developed by the [LIP6](https://www.lip6.fr/) laboratory ([ALSOC](https://www.lip6.fr/recherche/team.php?acronyme=ALSOC) team) of [Sorbonne University](https://www.sorbonne-universite.fr/) in Paris. Some parts are also developed by the [IMCCE](https://www.imcce.fr/) institute (*l'Observatoire de Paris*). Any external contributions are more than welcome. **Active contributors:** * Maxime MILLET, *PhD student* * Nathan MAURICE, *PhD student* * [Adrien CASSAGNE](https://perso.lip6.fr/adrien.cassagne/), *Associate professor* * [Fabian ZANDER](https://staffprofile.usq.edu.au/profile/fabian-zander), *Associate professor* * [Jérémie VAUBAILLON](https://www.cnrs.fr/fr/personne/jeremie-vaubaillon), *Astronomer* * [Lionel LACASSAGNE](https://perso.lip6.fr/Lionel.Lacassagne/), *Full professor* **Former contributors:** * Florian LEMAÎTRE, *PhD* * Arthur HENNEQUIN, *PhD* * Clara CIOCAN, *Master student* * Mathuran KANDEEPAN, *Master student*