How to interpret values of box_xy, box_wh in yolo_eval

after further digging, it looks like the rest of the predicted bounding box scaling takes place within the helper function yolo_head() at which time the grid information is still available.

box_xy = (box_xy + conv_index) / conv_dims
box_wh = box_wh * anchors_tensor / conv_dims

So I now believe the code used for this exercise spreads out producing the bounding box in image-relative coordinates into 3 places: yolo_eval(), yolo_head(), and boxes_to_corners().

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