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ClementPinard avatar

ClementPinard/SfmLearner-Pytorch

0
View on GitHub↗
1,031 stars·225 forks·Python·MIT·13 views

SfmLearner Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

Features

  • Model Implementations - SfMLearner implementation.
  • Facial, Action and Pose Recognition - Listed in the “Facial, Action and Pose Recognition” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for clementpinard/sfmlearner-pytorchStar history chart for clementpinard/sfmlearner-pytorch

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to SfmLearner Pytorch

Similar open-source projects, ranked by how many features they share with SfmLearner Pytorch.
  • clementpinard/flownetpytorchClementPinard avatar

    ClementPinard/FlowNetPytorch

    897View on GitHub↗

    Pytorch implementation of FlowNet by Dosovitskiy et al.

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  • davexpro/pytorch-pose-estimationDavexPro avatar

    DavexPro/pytorch-pose-estimation

    159View on GitHub↗

    PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

    Jupyter Notebook
    View on GitHub↗159
  • 1adrianb/face-alignment1adrianb avatar

    1adrianb/face-alignment

    7,518View on GitHub↗

    This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

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    View on GitHub↗7,518
  • kenshohara/3d-resnets-pytorchkenshohara avatar

    kenshohara/3D-ResNets-PyTorch

    4,039View on GitHub↗

    This project is a PyTorch implementation of 3D residual networks designed for video action recognition. It provides a spatiotemporal architecture that analyzes both spatial frames and temporal motion to classify human activities within video clips. The system includes a distributed model training framework to accelerate learning across multiple compute nodes. It supports the deployment and fine-tuning of pre-trained model weights, allowing the adaptation of existing networks to specific new datasets. The codebase covers the full pipeline for spatiotemporal learning, including video dataset p

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See all 30 alternatives to SfmLearner Pytorch→

Frequently asked questions

What does clementpinard/sfmlearner-pytorch do?

Pytorch version of SfmLearner from Tinghui Zhou et al.

What are the main features of clementpinard/sfmlearner-pytorch?

The main features of clementpinard/sfmlearner-pytorch are: Model Implementations, Facial, Action and Pose Recognition.

What are some open-source alternatives to clementpinard/sfmlearner-pytorch?

Open-source alternatives to clementpinard/sfmlearner-pytorch include: davexpro/pytorch-pose-estimation — PyTorch Implementation of Realtime Multi-Person Pose Estimation project. nvidia/flownet2-pytorch — Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… clementpinard/flownetpytorch — Pytorch implementation of FlowNet by Dosovitskiy et al. kenshohara/3d-resnets-pytorch — This project is a PyTorch implementation of 3D residual networks designed for video action recognition. It provides a… thnkim/openfacepytorch — PyTorch module to use OpenFace's nn4.small2.v1.t7 model.