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Code for ''Adversarial feature disentanglement for place recognition across changing appearance''

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Code for Adversarial Feature Disentanglement for Place Recognition Across Changing Appearance.

Dependencies

We develop our code under anaconda, with following depenencies (not listed fully):

  • pytorch 1.1.0
  • torchvision 0.3.0
  • cuda 9.0
  • tensorboardx 1.7
  • toolz 0.9
  • matplotlib 3.0.3
  • hdf5storage 0.1.15
  • numpy 1.16.4
  • scikit-learn 0.21.1
  • pyyaml 5.1
  • py-opencv 3.4.2
  • attrdict 2.0.1
  • latex? (remove it later)

Run

MNIST toy case:

python main.py config/mnist.yaml

Place recognition:

python main.py config/pr.yaml

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Code for ''Adversarial feature disentanglement for place recognition across changing appearance''

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  • Python 99.5%
  • Dockerfile 0.5%