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[P]vedaseg: A semantic segmentation toolbox in pytorch

Introduction

vedaseg is an open source semantic segmentation toolbox based on PyTorch.

Features

  • Modular Design
    We decompose the semantic segmentation framework into different components. The flexible and extensible design make it easy to implement a customized semantic segmentation project by combining different modules like building Lego.
  • Support of several popular frameworks
    The toolbox supports several popular and semantic segmentation frameworks out of box, e.g. DeepLabv3+, DeepLabv3, UNet, PSPNet, FPN, etc.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.