yoloV8.h

// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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.

//modified 1-14-2023 Q-engineering

#ifndef YOLOV8_H
#define YOLOV8_H

#include <opencv2/core/core.hpp>
#include <net.h>

struct Object
{
    cv::Rect_<float> rect;
    int label;
    float prob;
};

struct GridAndStride
{
    int grid0;
    int grid1;
    int stride;
};

class YoloV8
{
public:
    YoloV8();
    int load(int target_size);
    int detect(const cv::Mat& rgb, std::vector<Object>& objects, float prob_threshold = 0.4f, float nms_threshold = 0.5f);
    int draw(cv::Mat& rgb, const std::vector<Object>& objects);
private:
    ncnn::Net yolo;
    int target_size;
    float mean_vals[3];
    float norm_vals[3];
};

#endif // YOLOV8_H