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								/*
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								  * ESPRESSIF MIT License
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								  *
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								  * Copyright (c) 2018 <ESPRESSIF SYSTEMS (SHANGHAI) PTE LTD>
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								  *
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								  * Permission is hereby granted for use on ESPRESSIF SYSTEMS products only, in which case,
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								  * it is free of charge, to any person obtaining a copy of this software and associated
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								  * documentation files (the "Software"), to deal in the Software without restriction, including
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								  * without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
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								  * and/or sell copies of the Software, and to permit persons to whom the Software is furnished
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								  * to do so, subject to the following conditions:
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								  *
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								  * The above copyright notice and this permission notice shall be included in all copies or
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								  * substantial portions of the Software.
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								  *
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								  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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								  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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								  * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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								  * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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								  * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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								  * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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								  *
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								  */
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								#pragma once
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								#if __cplusplus
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								extern "C"
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								{
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								#endif
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								#include "image_util.h"
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								#include "dl_lib_matrix3d.h"
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								#include "mtmn.h"
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								    typedef enum
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								    {
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								        FAST = 0,
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								        NORMAL = 1,
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								    } mtmn_resize_type;
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								    typedef struct
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								    {
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								        float score;          /// score threshold for filter candidates by score
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								        float nms;            /// nms threshold for nms process
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								        int candidate_number; /// candidate number limitation for each net
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								    } threshold_config_t;
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								    typedef struct
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								    {
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								        int w;                        /// net width
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								        int h;                        /// net height
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								        threshold_config_t threshold; /// threshold of net
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								    } net_config_t;
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								    typedef struct
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								    {
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								        float min_face;                 /// The minimum size of a detectable face
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								        float pyramid;                  /// The scale of the gradient scaling for the input images
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								        int pyramid_times;              /// The pyramid resizing times
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								        threshold_config_t p_threshold; /// The thresholds for P-Net. For details, see the definition of threshold_config_t
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								        threshold_config_t r_threshold; /// The thresholds for R-Net. For details, see the definition of threshold_config_t
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								        threshold_config_t o_threshold; /// The thresholds for O-Net. For details, see the definition of threshold_config_t
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								        mtmn_resize_type type;          /// The image resize type. 'pyramid' will lose efficacy, when 'type'==FAST.
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								    } mtmn_config_t;
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								    static inline mtmn_config_t mtmn_init_config()
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								    {
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								        mtmn_config_t mtmn_config;
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								        mtmn_config.type = FAST;
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								        mtmn_config.min_face = 80;
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								        mtmn_config.pyramid = 0.707;
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								        mtmn_config.pyramid_times = 4;
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								        mtmn_config.p_threshold.score = 0.6;
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								        mtmn_config.p_threshold.nms = 0.7;
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								        mtmn_config.p_threshold.candidate_number = 20;
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								        mtmn_config.r_threshold.score = 0.7;
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								        mtmn_config.r_threshold.nms = 0.7;
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								        mtmn_config.r_threshold.candidate_number = 10;
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								        mtmn_config.o_threshold.score = 0.7;
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								        mtmn_config.o_threshold.nms = 0.7;
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								        mtmn_config.o_threshold.candidate_number = 1;
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								        return mtmn_config;
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								    }
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								    /**
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								     * @brief Do MTMN face detection, return box and landmark infomation.
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								     * 
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								     * @param image_matrix      Image matrix, rgb888 format
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								     * @param config            Configuration of MTMN i.e. score threshold, nms threshold, candidate number threshold, pyramid, min face size
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								     * @return box_array_t*     A list of boxes and score.
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								     */
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								    box_array_t *face_detect(dl_matrix3du_t *image_matrix,
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								                             mtmn_config_t *config);
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								#if __cplusplus
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								}
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								#endif
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