Anchor Generation LayerThe anchor g

Anchor Generation LayerThe anchor generation layer produces a set of bounding boxes (called “anchor boxes”) of varying sizes and aspect ratios spread all over the input image. These bounding boxes are the same for all images i.e., they are agnostic of the content of an image. Some of these bounding boxes will enclose foreground objects while most won’t. The goal of the RPN network is to learn to identify which of these boxes are good boxes – i.e., likely to contain a foreground object and to produce target regression coefficients, which when applied to an anchor box turns the anchor box into a better bounding box (fits the enclosed foreground object more closely).The diagram below demonstrates how these anchor boxes are generated.