non_maximum_suppression.py 文件源码

python
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项目:chainercv 作者: chainer 项目源码 文件源码
def _call_nms_kernel(bbox, thresh):
    n_bbox = bbox.shape[0]
    threads_per_block = 64
    col_blocks = np.ceil(n_bbox / threads_per_block).astype(np.int32)
    blocks = (col_blocks, col_blocks, 1)
    threads = (threads_per_block, 1, 1)

    mask_dev = cp.zeros((n_bbox * col_blocks,), dtype=np.uint64)
    bbox = cp.ascontiguousarray(bbox, dtype=np.float32)
    kern = _load_kernel('nms_kernel', _nms_gpu_code)
    kern(blocks, threads, args=(cp.int32(n_bbox), cp.float32(thresh),
                                bbox, mask_dev))

    mask_host = mask_dev.get()
    selection, n_selec = _nms_gpu_post(
        mask_host, n_bbox, threads_per_block, col_blocks)
    return selection, n_selec
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