GPU计算RIOU about retinanet_tensorflow_rotation HOT 9 CLOSED

# start = time.time()

if use_gpu:
    ious = rbbx_overlaps(boxes1, boxes2, gpu_id)
else:
    area1 = boxes1[:, 2] * boxes1[:, 3]
    area2 = boxes2[:, 2] * boxes2[:, 3]
    ious = []
    for i, box1 in enumerate(boxes1):
        temp_ious = []
        r1 = ((box1[0], box1[1]), (box1[2], box1[3]), box1[4])
        for j, box2 in enumerate(boxes2):
            r2 = ((box2[0], box2[1]), (box2[2], box2[3]), box2[4])

            int_pts = cv2.rotatedRectangleIntersection(r1, r2)[1]
            if int_pts is not None:
                order_pts = cv2.convexHull(int_pts, returnPoints=True)

                int_area = cv2.contourArea(order_pts)

                inter = int_area * 1.0 / (area1[i] + area2[j] - int_area)
                temp_ious.append(inter)
            else:
                temp_ious.append(0.0)
        ious.append(temp_ious)

# print('{}s'.format(time.time() - start))

return np.array(ious, dtype=np.float32)