espressif/arduino-esp32
1
0
Fork 1
mirror of https://github.com/0xFEEDC0DE64/arduino-esp32.git synced 2025-07-29 10:17:15 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update IDF to a8916daeb (#2992)

Browse Source
This commit is contained in:
Me No Dev
2019-07-17 10:09:43 +03:00
committed by GitHub
parent 3376ea1bd5
commit 9e32cec9a2
100 changed files with 797 additions and 239 deletions
Download Patch File Download Diff File Expand all files Collapse all files

86
tools/sdk/include/esp-face/mtmn.h
View File

@ -28,20 +28,7 @@ extern "C"
{
#endif
#include "dl_lib_matrix3d.h"
typedef struct
{
float score; /// score threshold for filter candidates by score
float nms; /// nms threshold for nms process
int candidate_number; /// candidate number limitation for each net
} threshold_config_t;
typedef struct
{
int w; /// net width
int h; /// net height
threshold_config_t threshold; /// threshold of net
} net_config_t;
#include "dl_lib_matrix3dq.h"
typedef struct
{
@ -51,30 +38,89 @@ extern "C"
} mtmn_net_t;
/**
* @brief Forward the pnet process, coarse detection
* @brief Free a mtmn_net_t
*
* @param p A mtmn_net_t pointer
*/
void mtmn_net_t_free(mtmn_net_t *p);
/**
* @brief Forward the pnet process, coarse detection. Calculate in float.
*
* @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);
mtmn_net_t *pnet_lite_f(dl_matrix3du_t *in);
/**
* @brief Forward the rnet process, fine determine the boxes from pnet
* @brief Forward the rnet process, fine determine the boxes from pnet. Calculate in float.
*
* @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);
mtmn_net_t *rnet_lite_f_with_score_verify(dl_matrix3du_t *in, float threshold);
/**
* @brief Forward the onet process, fine determine the boxes from rnet
* @brief Forward the onet process, fine determine the boxes from rnet. Calculate in float.
*
* @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);
mtmn_net_t *onet_lite_f_with_score_verify(dl_matrix3du_t *in, float threshold);
/**
* @brief Forward the pnet process, coarse detection. Calculate in quantization.
*
* @param in Image matrix, rgb888 format, size is 320x240
* @return Scores for every pixel, and box offset with respect.
*/
mtmn_net_t *pnet_lite_q(dl_matrix3du_t *in, dl_conv_mode mode);
/**
* @brief Forward the rnet process, fine determine the boxes from pnet. Calculate in quantization.
*
* @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_lite_q_with_score_verify(dl_matrix3du_t *in, float threshold, dl_conv_mode mode);
/**
* @brief Forward the onet process, fine determine the boxes from rnet. Calculate in quantization.
*
* @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_lite_q_with_score_verify(dl_matrix3du_t *in, float threshold, dl_conv_mode mode);
/**
* @brief Forward the pnet process, coarse detection. Calculate in quantization.
*
* @param in Image matrix, rgb888 format, size is 320x240
* @return Scores for every pixel, and box offset with respect.
*/
mtmn_net_t *pnet_heavy_q(dl_matrix3du_t *in, dl_conv_mode mode);
/**
* @brief Forward the rnet process, fine determine the boxes from pnet. Calculate in quantization.
*
* @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_heavy_q_with_score_verify(dl_matrix3du_t *in, float threshold, dl_conv_mode mode);
/**
* @brief Forward the onet process, fine determine the boxes from rnet. Calculate in quantization.
*
* @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_heavy_q_with_score_verify(dl_matrix3du_t *in, float threshold, dl_conv_mode mode);
#ifdef __cplusplus
}