53 lines
1.5 KiB
C++
53 lines
1.5 KiB
C++
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// The code is based on:
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// https://github.com/gatagat/lap/blob/master/lap/lapjv.h
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// Ths copyright of gatagat/lap is as follows:
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// MIT License
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#ifndef LAPJV_H
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#define LAPJV_H
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#define LARGE 1000000
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#if !defined TRUE
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#define TRUE 1
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#endif
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#if !defined FALSE
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#define FALSE 0
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#endif
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#define NEW(x, t, n) if ((x = (t *)malloc(sizeof(t) * (n))) == 0) {return -1;}
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#define FREE(x) if (x != 0) { free(x); x = 0; }
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#define SWAP_INDICES(a, b) { int_t _temp_index = a; a = b; b = _temp_index; }
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#include <opencv2/opencv.hpp>
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namespace PaddleDetection {
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typedef signed int int_t;
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typedef unsigned int uint_t;
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typedef double cost_t;
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typedef char boolean;
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typedef enum fp_t { FP_1 = 1, FP_2 = 2, FP_DYNAMIC = 3 } fp_t;
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int lapjv_internal(
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const cv::Mat &cost, const bool extend_cost, const float cost_limit,
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int *x, int *y);
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} // namespace PaddleDetection
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#endif // LAPJV_H
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