jwyang/fpn.pytorch

This repository implements PyTorch Feature Pyramid Network object detection, with training and image-directory inference as user workflows. Training selects a dataset, builds region-of-interest training batches, and passes them through an FPN detector; the detector uses a region proposal network and one of three documented ROI pooling methods. Dataset-specific evaluation and COCO evaluation are additional capabilities. The excerpts confirm parts of these flows, but omit substantial model and demo code, so uncertain internal wiring is not expanded.