# dragonbook/V2V-PoseNet-pytorch

<https://repo.masters-masters.com/en/repos/dragonbook/V2V-PoseNet-pytorch>

[Home](https://repo.masters-masters.com/en) › [dragonbook](https://repo.masters-masters.com/en/owners/dragonbook) › [V2V-PoseNet-pytorch](https://repo.masters-masters.com/en/repos/dragonbook/V2V-PoseNet-pytorch)

dragonbook/V2V-PoseNet-pytorch has 203 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix…

| Field | Value |
| --- | --- |
| Owner | [dragonbook](https://repo.masters-masters.com/en/owners/dragonbook) |
| Stars | 203 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | volumetric, hand-pose-estimation, human-pose-estimation, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dragonbook/V2V-PoseNet-pytorch](https://github.com/dragonbook/V2V-PoseNet-pytorch) |

## Repository

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.