yonkshi / SPAIR_pytorch

pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE

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SPAIR_pytorch

Pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE

Additional information can be found at supplementary paper

Implementation based on the original tensorflow implementation by Eric Crawford: https://github.com/e2crawfo/auto_yolo (Special thanks to Eric for patiently explaining the details of his implementation)

dependencies

  • Numpy
  • Pytorch 1.0+
  • Python 3.5+
  • TensorboardX

Hyperparameters

spair/config.py contains hyperparameters used in the model with comments.

Run

python train.py --gpu to start training with all available GPUs

Data

Coming soon...

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pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE


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