FaceDetModule.cpp
4.44 KB
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#include "FaceDetModule.h"
#include <iostream>
#include "opencv2/highgui/highgui.hpp"
#include <opencv2/imgproc.hpp>
#include<opencv2/core/core.hpp>
#include <curand.h>
#include "CropImg.h"
auto sy_process_param_check = [](void *handle, sy_img* img, int batchsize)->bool {
if (handle == nullptr)
{
printf("error: face det handle nullptr!");
return FAILED;
}
if (batchsize == 0)
{
printf("error: face det batchsize zore!");
return FAILED;
}
for (int i = 0; i < batchsize; i++)
{
if (img[i].data_ == nullptr || img[i].h_ == 0 || img[i].w_ == 0 || img[i].c_ == 0)
{
printf("error: face det image nullptr!");
return FAILED;
}
}
};
int face_det_module::face_det_module_init(int gpuid, char* auth_license)
{
m_face_det_handle = nullptr;
//��������ʼ��
fd_param fd_param_;
fd_param_.thresld = 0.7;
fd_param_.gpuid = gpuid;
fd_param_.mode = DEVICE_GPU;
fd_param_.log = SY_CONFIG_OPEN;
fd_param_.facial_fea_point_config = SY_CONFIG_OPEN;
fd_param_.pose_config = SY_CONFIG_OPEN;
fd_param_.quality_config = SY_CONFIG_OPEN;
fd_param_.score_config = SY_CONFIG_OPEN;
fd_param_.max_result_count = 100;
fd_param_.max_batch_size_detect = 10;
fd_param_.max_batch_size_ldmk = 10;
fd_param_.max_batch_size_pose = 10;
fd_param_.max_batch_size_score = 10;
fd_param_.max_batch_size_blurglass = 10;
fd_param_.max_batch_size_occlusion = 10;
fd_param_.serialize_file = "./serialize_file/FD";
fd_param_.auth_license = "sy_tsl_aiplatform_sdk_2021";
// fd_param param;
// param.thresld = 0.6;
// param.gpuid = gpuid;
// param.mode = DEVICE_GPU;
// param.log = SY_CONFIG_OPEN;
// param.facial_fea_point_config = SY_CONFIG_OPEN; //�Ƿ������ؼ�����
// param.pose_config = SY_CONFIG_OPEN; //�Ƿ�������̬��
// param.quality_config = SY_CONFIG_OPEN; //�Ƿ������������
// param.score_config = SY_CONFIG_OPEN; //�Ƿ������������Ŷ� //SY_CONFIG_OPEN SY_CONFIG_CLOSE
// param.max_result_count = 100;
// param.auth_license = "sy_tsl_aiplatform_sdk_2021";
// if (SUCCESS != fd_init(&m_face_det_handle, fd_param_, ""))
if (SUCCESS != fd_init(&m_face_det_handle, fd_param_)) // 220512
{
printf("fd_init failed\n");
return FAILED;
}
//return SUCCESS;
const int batchsize = 20;
fd_result result[batchsize];
for (int fd_i = 0; fd_i < batchsize; fd_i++)
{
result[fd_i].info = new fd_info[10]; //�ڴ����ⲿ����
}
cv::Mat img[batchsize];
sy_img syimg[batchsize];
for (int i = 0; i < batchsize; i++)
{
cv::Mat tmp_img(224, 112, CV_8UC3);
img[i] = tmp_img.clone();
syimg[i].set_data(img[i].cols, img[i].rows, img[i].channels(), img[i].data);
}
int ret = 0;
ret = fd_detect_batch(m_face_det_handle, syimg, SY_FORMAT_BGR888, batchsize, result);
printf("end fd init\n");
return SUCCESS;
}
int face_det_module::face_det_module_process(sy_img* img, int batchsize, fd_result *face_det_result, sy_point* original_size)
{
if (sy_process_param_check(m_face_det_handle, img, batchsize) == FAILED)
return FAILED;
sy_img *cpu_img = new sy_img[batchsize];
for (int b = 0; b < batchsize; b++) {
cpu_img[b].c_ = 3;
cpu_img[b].w_ = original_size[b].x_;
cpu_img[b].h_ = original_size[b].y_;
cudaMalloc(&cpu_img[b].data_, sizeof(uchar)*cpu_img[b].c_*cpu_img[b].w_*cpu_img[b].h_);
cudacommon::ResizeImgGpu_int8(img[b].data_, img[b].w_ , img[b].h_, cpu_img[b].data_, cpu_img[b].w_, cpu_img[b].h_);
}
for (int ii = 0; ii < batchsize; ii++)
{
face_det_result[ii].count = 0;
for (int c = 0; c < 10; c++)
{
memset((void*)&face_det_result[ii].info[c], 0, sizeof(fd_info));
}
}
int ret = fd_detect_batch(m_face_det_handle, cpu_img, SY_FORMAT_BGR888, batchsize, face_det_result);
for (int b = 0; b < batchsize; b++)
{
int real_count = 0;
for (int c = 0; c < face_det_result[b].count; c++)
{
if (face_det_result[b].info[c].score >= 0.5)
{
memcpy((void*)&face_det_result[b].info[real_count], (void*)&face_det_result[b].info[c], sizeof(fd_info));
real_count++;
}
}
face_det_result[b].count = real_count;
}
for (int b = 0; b < batchsize; b++) {
if(cpu_img[b].data_) {
cudaFree(cpu_img[b].data_);
}
}
if (cpu_img) delete[] cpu_img;
return ret;
}
void face_det_module::face_det_module_release()
{
fd_release(&m_face_det_handle);
}