f1recracker / pytorch-deeplab-v3-plus

Pytorch implementation of DeepLab V3+

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DeepLab V3+ PyTorch

DeepLab V3+ is a state-of-the-art model for semantic segmentation.

This repository contains a PyTorch implementation of DeepLab V3+ trained for full driving scene segmentation tasks.

Pending Tasks

  • Base DeepLab model
    • DeepLab decoder module
    • Xception feature extractor backbone
    • Dataloaders, train script, metrics
    • Data augmentation pipeline
  • Upload pretrained weights and results
  • Planned extensions
    • Mixed precision training
    • Faster, MobileNet-v2 backbone
    • Pretraining all backbones on ImageNet
    • Dataloader for City-scapes
    • Dataloader for Baidu apollo dataset
    • Setup inference mode

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Pytorch implementation of DeepLab V3+


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