# FORTH-ModelBasedTracker/MocapNET

<https://repo.masters-masters.com/repos/FORTH-ModelBasedTracker/MocapNET>

[Accueil](https://repo.masters-masters.com/) › [FORTH-ModelBasedTracker](https://repo.masters-masters.com/owners/FORTH-ModelBasedTracker) › [MocapNET](https://repo.masters-masters.com/repos/FORTH-ModelBasedTracker/MocapNET)

FORTH-ModelBasedTracker/MocapNET, dépôt open source à 956 étoiles sur GitHub. Carte Bêta de RepoMasters. A real-time method that estimates the 3D human pose…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [FORTH-ModelBasedTracker](https://repo.masters-masters.com/owners/FORTH-ModelBasedTracker) |
| Étoiles | 956 |
| Forks | 144 |
| Langage | [C++](https://repo.masters-masters.com/languages/c-plus-plus) |
| Licence | Aucune |
| Création | 2019 |
| Sujets | mocap, bvh-format, bvh, neural-network, tensorflow, computer-vision, ensemble, 2d-to-3d, demo, 3d-animation |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [FORTH-ModelBasedTracker/MocapNET](https://github.com/FORTH-ModelBasedTracker/MocapNET) |

## Fiche du dépôt

A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientatio…

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.