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Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'

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PWC


Perspective Field Network

Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'

Tensorflow/Keras implementation for reproducing Perspective Network (PFNet) results in the paper Rethinking Planar Homography Estimation Using Perspective Fields by Rui Zeng, Simon Denman, Sridha Sridharan, Clinton Fookes.


COCO Dataset


Trained Weights.


Dependencies

python 3.6

  • Tensorflow >= 1.5.0
  • Keras >= 2.2.0
  • Opencv >= 3.0.0

In addition, please add the project folder to PYTHONPATH and pip install the packages if ImportError: No module named xxx error message occur.


Training

  • Train a PFNet model on the COCO dataset from scratch:
    • python train.py --dataset=/home/COCO

Evaluation

  • Evaluate the *.h5 model checkpoint
    • python evaluate.py --dataset=/home/COCO --model=./pfnet.h5

Citing PFNet

If you find PFNet useful in your research, please consider citing:


@inproceedings{zeng18rethinking,
  author    = {Rui Zeng and Simon Denman and Sridha Sridharan and Clinton Fookes},
  title     = {Rethinking Planar Homography Estimation Using Perspective Fields},
  booktitle = {Asian Conference on Computer Vision (ACCV)},
  year      = {2018},
}

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