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Add MocapNET
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# MocapNET Project
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Finishing my PhD this will probably be the *final* version of MocapNET!
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MocapNET 4 will deal with upperbody / lowerbody / hands / eye tracking and / facial capture
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It has a written from scratch python interface, but maintain the same compatible BVH output format.
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It will also be compatible with Raspberry Pi 4 and use Tensorflow /Tf-Lite / ONNX backends
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This branch is still under construction, and has been ported to Python to boost usability
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so if you want the older C/C++ version of MocapNET you ignore it for now..!
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## Deploy it now on Google Colab with a single click!
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------------------------------------------------------------------
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Click here for one click setup : [](https://colab.research.google.com/github/FORTH-ModelBasedTracker/MocapNET/blob/mnet4/mocapnet4.ipynb)
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## Relevant publications!
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------------------------------------------------------------------
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| Download Paper | Year | Conference | Title |
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| ------------- | ------------- | ------------- | ------------- |
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| [](http://users.ics.forth.gr/~argyros/mypapers/2023_10_AMFG_Qammaz.pdf) | 2023 | AMFG@ICCV | A Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and Gaze Estimation using MocapNETs |
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| [](http://users.ics.forth.gr/~argyros/mypapers/2023_07_PETRA_Qammaz.pdf) | 2023 | PeTRA | Compacting MocapNET-based 3D Human Pose Estimation via Dimensionality Reduction |
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| [](http://users.ics.forth.gr/~argyros/mypapers/2021_11_BMVC_Qammaz.pdf) | 2021 | BMVC | Towards Holistic Real-time Human 3D Pose Estimation using MocapNETs |
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| [](http://users.ics.forth.gr/~argyros/mypapers/2021_01_ICPR_Qammaz.pdf) | 2021 | ICPR | Occlusion-tolerant and personalized 3D human pose estimation in RGB images |
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| [](http://users.ics.forth.gr/~argyros/mypapers/2019_09_BMVC_mocapnet.pdf) | 2019 | BMVC | MocapNET: Ensemble of SNN Encoders for 3D Human Pose Estimation in RGB Images |
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## AMFG@ICCV 2023 Poster
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------------------------------------------------------------------
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## Citation
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------------------------------------------------------------------
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Please cite the following papers if this work helps your research :
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```
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@inproceedings{Qammaz2023b,
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author = {Qammaz, Ammar and Argyros, Antonis},
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title = {A Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and Gaze Estimation using MocapNETs},
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booktitle = {International Conference on Computer Vision Workshops (AMFG 2023 - ICCVW 2023), (to appear)},
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publisher = {IEEE},
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year = {2023},
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month = {October},
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address = {Paris, France},
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projects = {VMWARE,I.C.HUMANS},
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pdflink = {http://users.ics.forth.gr/ argyros/mypapers/2023_10_AMFG_Qammaz.pdf}
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}
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@inproceedings{Qammaz2021,
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author = {Qammaz, Ammar and Argyros, Antonis A},
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title = {Towards Holistic Real-time Human 3D Pose Estimation using MocapNETs},
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booktitle = {British Machine Vision Conference (BMVC 2021)},
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publisher = {BMVA},
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year = {2021},
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month = {November},
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projects = {I.C.HUMANS},
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videolink = {https://www.youtube.com/watch?v=aaLOSY_p6Zc}
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}
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```
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## License
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------------------------------------------------------------------
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This library is provided under the [FORTH license](https://github.com/FORTH-ModelBasedTracker/MocapNET/blob/master/license.txt)
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