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NVIDIA/flownet2-pytorch

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Flownet2 Pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Features

  • Visión artificial - Optical flow estimation using deep networks.

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  • Computer Vision and Image Processing - Optical flow estimation using deep networks.
  • Computer Vision Models - Implementation of FlowNet 2.0 for optical flow.
  • Model Implementations - FlowNet 2.0 implementation.
  • Facial, Action and Pose Recognition - Listed in the “Facial, Action and Pose Recognition” section of the The Incredible Pytorch awesome list.
  • 3,286 estrellas·749 forks·Python·6 vistas

    Historial de estrellas

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    Ver las 30 alternativas a Flownet2 Pytorch→

    Preguntas frecuentes

    ¿Qué hace nvidia/flownet2-pytorch?

    Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

    ¿Cuáles son las características principales de nvidia/flownet2-pytorch?

    Las características principales de nvidia/flownet2-pytorch son: Visión artificial, Computer Vision and Image Processing, Computer Vision Models, Model Implementations, Facial, Action and Pose Recognition.

    ¿Qué alternativas de código abierto existen para nvidia/flownet2-pytorch?

    Las alternativas de código abierto para nvidia/flownet2-pytorch incluyen: thnkim/openfacepytorch — PyTorch module to use OpenFace's nn4.small2.v1.t7 model. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… eladhoffer/captiongen. amdegroot/ssd.pytorch — This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and… davexpro/pytorch-pose-estimation — PyTorch Implementation of Realtime Multi-Person Pose Estimation project. bodokaiser/piwise — Pixel-wise segmentation on the [VOC2012][dataset] dataset using [pytorch][pytorch].