Inspiration

The original implementation of MSRACVER is based on our Caffe and MXNET and proprietary dataset.

What it does

Implement a 2D offset to fixed sampling locations and ROI pooling, as part of deformable convolution architecture.

How I built it

Re-implemented it in TensorFlow and keras, with a simple demo on openly available dataset.

Challenges I ran into

Bazel was very difficult to build with, prior to release of TF 1.12.0

Accomplishments that I'm proud of

I presented it in Datascience meetup at Google Bangalore and the video uploaded in youtube, link given below

What I learned

TensorFlow coding and Deformable Convolution architecture

What's next for Deformable Convolution Networks

use it on different datasets

Built With

  • tensorflow
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