/*
  * ESPRESSIF MIT License
  *
  * Copyright (c) 2018 <ESPRESSIF SYSTEMS (SHANGHAI) PTE LTD>
  *
  * Permission is hereby granted for use on ESPRESSIF SYSTEMS products only, in which case,
  * it is free of charge, to any person obtaining a copy of this software and associated
  * documentation files (the "Software"), to deal in the Software without restriction, including
  * without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
  * and/or sell copies of the Software, and to permit persons to whom the Software is furnished
  * to do so, subject to the following conditions:
  *
  * The above copyright notice and this permission notice shall be included in all copies or
  * substantial portions of the Software.
  *
  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
  * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
  * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
  * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
  * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  *
  */
#pragma once

#ifdef __cplusplus
extern "C" {
#endif
#include "dl_lib.h"


typedef enum
{
    PNET = 0,
    RNET = 1,
    ONET = 2,
} net_type_en;

typedef struct
{
    net_type_en net_type;
    char *file_name;
    int w;
    int h;
    float score_threshold;
    float nms_threshold;
} net_config_t; 

typedef struct
{
    dl_matrix3d_t *category;
    dl_matrix3d_t *offset;
    dl_matrix3d_t *landmark;
} mtmn_net_t;


/**
 * @brief Forward the pnet process, coarse detection
 *
 * @param in        Image matrix, rgb888 format, size is 320x240
 * @return          Scores for every pixel, and box offset with respect.
 */
mtmn_net_t *pnet(dl_matrix3du_t *in);

/**
 * @brief Forward the rnet process, fine determine the boxes from pnet
 *
 * @param in        Image matrix, rgb888 format
 * @param threshold Score threshold to detect human face
 * @return          Scores for every box, and box offset with respect.
 */
mtmn_net_t *rnet_with_score_verify(dl_matrix3du_t *in, float threshold);

/**
 * @brief Forward the onet process, fine determine the boxes from rnet
 *
 * @param in        Image matrix, rgb888 format
 * @param threshold Score threshold to detect human face
 * @return          Scores for every box, box offset, and landmark with respect.
 */
mtmn_net_t *onet_with_score_verify(dl_matrix3du_t *in, float threshold);
#ifdef __cplusplus
}
#endif