dd2907ed70a9f29ecbe2fba75de735e96daae3a2,mmdet/ops/nms/nms_wrapper.py,,soft_nms,#Any#Any#Any#Any#Any#,32

Before Change

    if isinstance(dets, torch.Tensor):
        _dets = dets.detach().cpu().numpy()
    else:
        _dets = dets.copy()
    assert isinstance(_dets, np.ndarray)

    new_dets, inds = cpu_soft_nms(
        _dets, Nt=Nt, method=method, sigma=sigma, threshold=min_score)

After Change

                type(dets)))

    method_codes = {"linear": 1, "gaussian": 2}
    if method not in method_codes:
        raise ValueError("Invalid method for SoftNMS: {}".format(method))
    new_dets, inds = cpu_soft_nms(
        dets_np,

Instances