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fcb_photo_review/paddle_detection/deploy/lite/src/utils.cc
2024-08-27 14:42:45 +08:00

50 lines
1.9 KiB
C++

// 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.
#include "include/utils.h"
namespace PaddleDetection {
void nms(std::vector<ObjectResult> &input_boxes, float nms_threshold) {
std::sort(input_boxes.begin(),
input_boxes.end(),
[](ObjectResult a, ObjectResult b) { return a.confidence > b.confidence; });
std::vector<float> vArea(input_boxes.size());
for (int i = 0; i < int(input_boxes.size()); ++i) {
vArea[i] = (input_boxes.at(i).rect[2] - input_boxes.at(i).rect[0] + 1)
* (input_boxes.at(i).rect[3] - input_boxes.at(i).rect[1] + 1);
}
for (int i = 0; i < int(input_boxes.size()); ++i) {
for (int j = i + 1; j < int(input_boxes.size());) {
float xx1 = (std::max)(input_boxes[i].rect[0], input_boxes[j].rect[0]);
float yy1 = (std::max)(input_boxes[i].rect[1], input_boxes[j].rect[1]);
float xx2 = (std::min)(input_boxes[i].rect[2], input_boxes[j].rect[2]);
float yy2 = (std::min)(input_boxes[i].rect[3], input_boxes[j].rect[3]);
float w = (std::max)(float(0), xx2 - xx1 + 1);
float h = (std::max)(float(0), yy2 - yy1 + 1);
float inter = w * h;
float ovr = inter / (vArea[i] + vArea[j] - inter);
if (ovr >= nms_threshold) {
input_boxes.erase(input_boxes.begin() + j);
vArea.erase(vArea.begin() + j);
}
else {
j++;
}
}
}
}
} // namespace PaddleDetection