---

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

• Please refer to Common Objects in Context to download the dataset used in the paper.

---

Trained Weights.

• Download our trained weights from provisionally trained weights and put it in the root directory

---

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},
}