def METHOD_NAME(onnx_path, imgs_path):
    import onnxruntime as rt
    sess = rt.InferenceSession(onnx_path)
    img = cv2.imread(imgs_path)
    data, ori_shapes = preprocess(img)
    output = sess.run(None, {sess.get_inputs()[0].name: data})[0]
    results = postprocess(output, img, ori_shapes[0])
    return results