abinjoabraham / AutoML

AutoDeeplab / auto-deeplab implemented in Pytorch

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AutoML for Image Segmentation and Detection

This is an open-source project of AutoML for object detection & segmentation as well as semantic segmentation.

Currently this repo contains a pytorch implementation for AutoDeeplab.

Requirements

  • Pytorch version 1.1

  • Python 3

  • tensorboardX

  • torchvision

  • pycocotools

  • tqdm

  • numpy

  • pandas

Training

###Start training

CUDA_VISIBLE_DEVICES=0 python train_autodeeplab.py --dataset cityscapes

###Resume training

CUDA_VISIBLE_DEVICES=0 python train_autodeeplab.py --dataset cityscapes --resume /AutoDeeplabpath/checkpoint.pth.tar

References

[1] : Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

[2] : pytorch-deeplab-xception

[3] : Some code for the project was taken from here

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AutoDeeplab / auto-deeplab implemented in Pytorch


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