def rbbox_overlaps_cy(boxes_np, query_boxes_np):
# TODO: first calculate the hbb overlaps, for overlaps > 0, calculate the obb overlaps
polys_np = RotBox2Polys(boxes_np).astype(np.float)
query_polys_np = RotBox2Polys(query_boxes_np).astype(np.float)
h_bboxes_np = poly2bbox(polys_np).astype(np.float)
h_query_bboxes_np = poly2bbox(query_polys_np).astype(np.float)
# hious
ious = bbox_overlaps_cython(h_bboxes_np, h_query_bboxes_np)
import pdb
# pdb.set_trace()
inds = np.where(ious > 0)
for index in range(len(inds[0])):
box_index = inds[0][index]
query_box_index = inds[1][index]
box = polys_np[box_index]
query_box = query_polys_np[query_box_index]
# calculate obb iou
# import pdb
# pdb.set_trace()
overlap = polyiou.iou_poly(polyiou.VectorDouble(box), polyiou.VectorDouble(query_box))
ious[box_index][query_box_index] = overlap
return ious
def rbbox_overlaps_cy_warp(rbboxes, query_boxes):
# TODO: first calculate the hbb overlaps, for overlaps > 0, calculate the obb overlaps
# import pdb
# pdb.set_trace()
box_device = query_boxes.device
query_boxes_np = query_boxes.detach().cpu().numpy().astype(np.float)
# polys_np = RotBox2Polys(boxes_np)
# TODO: change it to only use pos gt_masks
# polys_np = mask2poly(gt_masks)
# polys_np = np.array(Tuplelist2Polylist(polys_np)).astype(np.float)
polys_np = RotBox2Polys(rbboxes).astype(np.float)
query_polys_np = RotBox2Polys(query_boxes_np)
h_bboxes_np = poly2bbox(polys_np)
h_query_bboxes_np = poly2bbox(query_polys_np)
# hious
ious = bbox_overlaps_cython(h_bboxes_np, h_query_bboxes_np)
import pdb
# pdb.set_trace()
inds = np.where(ious > 0)
for index in range(len(inds[0])):
box_index = inds[0][index]
query_box_index = inds[1][index]
box = polys_np[box_index]
query_box = query_polys_np[query_box_index]
# calculate obb iou
# import pdb
# pdb.set_trace()
overlap = polyiou.iou_poly(polyiou.VectorDouble(box),
polyiou.VectorDouble(query_box))
ious[box_index][query_box_index] = overlap
return torch.from_numpy(ious).to(box_device)
def bbox_overlaps(boxes, query_boxes):
return bbox_overlaps_cython(boxes, query_boxes)
def bbox_overlaps(boxes, query_boxes):
return bbox_overlaps_cython(boxes, query_boxes)
def bbox_overlaps_cy(boxes, query_boxes):
box_device = boxes.device
boxes_np = boxes.cpu().numpy().astype(np.float)
query_boxes_np = query_boxes.cpu().numpy().astype(np.float)
ious = bbox_overlaps_cython(boxes_np, query_boxes_np)
return torch.from_numpy(ious).to(box_device)
