person_monitor_fy/dependence/PaddleDetection/deploy/cpp/include/lapjv.h

//   Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// The code is based on:
// https://github.com/gatagat/lap/blob/master/lap/lapjv.h
// Ths copyright of gatagat/lap is as follows:
// MIT License

#ifndef LAPJV_H
#define LAPJV_H

#define LARGE 1000000

#if !defined TRUE
#define TRUE 1
#endif
#if !defined FALSE
#define FALSE 0
#endif

#define NEW(x, t, n) if ((x = (t *)malloc(sizeof(t) * (n))) == 0) {return -1;}
#define FREE(x) if (x != 0) { free(x); x = 0; }
#define SWAP_INDICES(a, b) { int_t _temp_index = a; a = b; b = _temp_index; }
#include <opencv2/opencv.hpp>

namespace PaddleDetection {

typedef signed int int_t;
typedef unsigned int uint_t;
typedef double cost_t;
typedef char boolean;
typedef enum fp_t { FP_1 = 1, FP_2 = 2, FP_DYNAMIC = 3 } fp_t;

int lapjv_internal(
    const cv::Mat &cost, const bool extend_cost, const float cost_limit,
    int *x, int *y);

} // namespace PaddleDetection

#endif // LAPJV_H