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Web Segmentation

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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contact
  6. Acknowledgments

About The Project

Project Description ....

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Built With

Pytorch Python

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Getting Started

To test the framework on local follow these steps.

Prerequisites & Installation

The requirements provided in reqiurements.txt.

  1. Clone the repo
    git clone https://github.com/alibtasdemir/WebImageSeg.git
    cd WebImageSeg
  2. Create a virtual environment (conda)
    conda create --name <env> --file requirements.txt
    conda activate <env>
  3. To train the network run train.py
    python train.py

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Usage

In progress...

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Roadmap

  • Initial structure
  • More models
    • U-net
    • Attention U-net
  • Run train with custom parameters
  • Upload checkpoints
  • Testing functionality

See the open issues for a full list of proposed features (and known issues).

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Ali Baran Taşdemir - @alibrnt - alibaran@tasdemir.us

Project Link: https://github.com/alibtasdemir/WebImageSeg

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