fpn.pytorch Pytorch implementation of Feature Pyramid Network (FPN) for arm fracture Detection

pytorch 0.2

This project inherits the property of our pytorch implementation of faster r-cnn. Hence, it also has the following unique features:

• It is pure Pytorch code. We convert all the numpy implementations to pytorch.

• It supports trainig batchsize > 1. We revise all the layers, including dataloader, rpn, roi-pooling, etc., to train with multiple images at each iteration.

• It supports multiple GPUs. We use a multiple GPU wrapper (nn.DataParallel here) to make it flexible to use one or more GPUs, as a merit of the above two features.