Implementation of DeformableConv Layer in Tensorflow-Keras
the deformable layer is modified from https://github.com/DHZS/tf-deformable-conv-layer
The main modificaion is that we make the layer can support static graph (which doesn't need Eager execution)
Dependcies see requirements.txt. If all packages were installed, just run the code!
We use yacs.config to control parameter setting
python run.py # run with default. 3 layers of standard convolution, with cpu mode
python run.py MODEL.USE_DEFORMABLE_CONV True SYSTEM.DEVICES "[0]" make standard conv as deformable conv, use gpu (id=0)