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Unofficial implementation of LEDNet on ADE20K dataset

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Unofficial implementation of LEDNet(https://github.com/xiaoyufenfei/LEDNet) on ADE20K

Introduction

This project contains the code of LEDNet supporting ADE20K dataset ( LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation by Yu Wang)

LEDNet is a lightweight network, with an asymmetric encoder-decoder architecture for the task of real-time semantic segmentation.

Training

  • Download the ADE20K scene parsing dataset:
cd datasets
chmod +x download_ADE20K.sh
./download_ADE20K.sh
  • Adjusting parameter before training, such as GPU ID, learning rate……
cd train
python train.py

Testing

  • the trained models will be coming soon
cd train
python  test.py

Results

  • coming soon

Reference

  1. LEDNet
  2. awesome-semantic-segmentation-pytorch

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Unofficial implementation of LEDNet on ADE20K dataset

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