def filter_collisions(self, boxes, sample_boxes):
N = boxes.shape[0]
boxes = torch.cat((
torch.from_numpy(boxes),
torch.from_numpy(sample_boxes),
)).cuda().float()[:, [0, 1, 3, 4, 6]]
iou = box_iou_rotated(boxes, boxes).cpu().numpy()
mask = (iou > 1e-2).sum(1)[N:] == 1
return mask
def compute_iou(self, boxes, anchors):
matrix = box_iou_rotated(
boxes[:, [0, 1, 3, 4, 6]],
anchors[:, [0, 1, 3, 4, 6]],
)
return matrix
