rpn module overview

generate_anchors.py

Generates a regular grid of multi-scale, multi-aspect anchor boxes.

proposal_layer.py

Converts RPN outputs (per-anchor scores and bbox regression estimates) into object proposals.

anchor_target_layer.py

Generates training targets/labels for each anchor. Classification labels are 1 (object), 0 (not object) or -1 (ignore). Bbox regression targets are specified when the classification label is > 0.

proposal_target_layer.py

Generates training targets/labels for each object proposal: classification labels 0 - K (bg or object class 1, ... , K) and bbox regression targets in that case that the label is > 0.

generate.py

Generate object detection proposals from an imdb using an RPN.