test.cpp1
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#include "./interface/DecoderManager.h"
#include <mutex>
#include <thread>
#include <chrono>
#include "acl/acl.h"
#include "acl/ops/acl_dvpp.h"
using namespace std;
struct decode_cbk_userdata{
string task_id;
void* opaque;
void* opaque1;
};
deque<DeviceMemory*> m_RgbDataList;
mutex m_DataListMtx;
thread* m_pAlgorthimThread{nullptr};
bool m_bfinish{false};
int m_devId = 0;
const char* task_id = "test0";
int skip_frame_ = 5;
int m_batch_size = 20;
void algorthim_process_thread();
void algorthim_face_detect(vector<DeviceMemory*> vec_gpuMem);
void post_decod_cbk(const void * userPtr, DeviceMemory* devFrame){
do{
if(m_bfinish){
break;
}
m_DataListMtx.lock();
if(m_RgbDataList.size() >= 30){
m_DataListMtx.unlock();
std::this_thread::sleep_for(std::chrono::milliseconds(3));
continue;
}
m_RgbDataList.push_back(devFrame);
m_DataListMtx.unlock();
break;
}while (true);
}
void decode_finished_cbk(const void * userPtr){
decode_cbk_userdata* ptr = (decode_cbk_userdata*)userPtr;
if (ptr!= nullptr){
printf("task finished: %s \n", ptr->task_id.c_str());
}
delete ptr;
ptr = nullptr;
}
int main(){
// 算法初始化
facedet_ai_engine_param fd_param;
fd_param.sdk_param.det_modelNames = "./models/face_detect/face_det_yolov5s_310p.om";
fd_param.sdk_param.ldmk_modelNames = "./models/face_detect/face_ldmk_310p.om";
fd_param.sdk_param.pose_modelNames = "./models/face_detect/face_pose_310p.om";
fd_param.sdk_param.score_modelNames = "./models/face_detect/face_score_310p.om";
fd_param.sdk_param.fuzzy_modelNames = "./models/face_detect/face_fuzzy_310p.om";
fd_param.sdk_param.occlusion_modelNames = "./models/face_detect/face_occlusion_310p.om";
fd_param.sdk_param.thresld = 0.6;
fd_param.sdk_param.devId = m_devId;
fd_param.sdk_param.auth_license = "sy_tongtu_aiplatform_sdk_2023";
fd_param.sdk_param.facial_fea_point_config = SY_CONFIG_OPEN; //是否启动关键点检测
fd_param.sdk_param.pose_config = SY_CONFIG_OPEN; //是否启动姿态角
fd_param.sdk_param.quality_config = SY_CONFIG_OPEN; //是否启动质量检测
fd_param.sdk_param.score_config = SY_CONFIG_OPEN; //是否启动人脸置信度 //SY_CONFIG_OPEN SY_CONFIG_CLOSE
fd_param.sdk_param.max_result_count = 50;
ret = m_face_det_ai_engine.init_ai_engine(fd_param);
if (ret < 0 ) {
printf("Init face detection failed \n");
return ret;
}
m_face_det_ai_engine.add_tracker(task_id, skip_frame_); // 跳帧数暂时写死
// 创建解码任务
DecoderManager* pDecManager = DecoderManager::getInstance();
MgrDecConfig config;
config.name = task_id;
config.cfg.uri = "rtsp://admin:ad123456@192.168.60.165:554/cam/realmonitor?channel=1&subtype=0";
config.cfg.post_decoded_cbk = post_decod_cbk;
config.cfg.decode_finished_cbk = decode_finished_cbk;
config.cfg.force_tcp = true; // rtsp用tcp
config.cfg.gpuid = to_string(m_devId);
config.cfg.skip_frame = skip_frame_;
config.dec_type = DECODER_TYPE_DVPP;
AbstractDecoder* dec = pDecManager->createDecoder(config);
if (!dec){
printf("创建解码器失败 \n");
return false;
}
decode_cbk_userdata* userPtr = new decode_cbk_userdata;
userPtr->task_id = string(task_id);
pDecManager->setPostDecArg(config.name, userPtr);
pDecManager->setFinishedDecArg(config.name, userPtr);
int input_image_width = 0;
int input_image_height = 0;
pDecManager->getResolution(config.name, input_image_width, input_image_height);
// 创建算法线程
m_pAlgorthimThread = new thread([](void* arg) {
algorthim_process_thread();
return (void*)0;
}
, nullptr);
while (getchar() != 'q');
}
void algorthim_process_thread(){
aclrtSetDevice(m_devId);
aclrtContext ctx;
aclrtCreateContext(&ctx, m_devId);
while (true){
if(m_bfinish){
break;
}
vector<DeviceMemory*> vec_gpuMem;
m_DataListMtx.lock();
while (!m_RgbDataList.empty()){
DeviceMemory* gpuMem = m_RgbDataList.front();
if(gpuMem->getMem() == nullptr){
// 错误数据，直接删除
delete gpuMem;
gpuMem = nullptr;
printf("mem is null \n");
} else {
vec_gpuMem.push_back(gpuMem);
}
m_RgbDataList.pop_front();
if(vec_gpuMem.size() >= m_batch_size){
break;
}
}
m_DataListMtx.unlock();
if(vec_gpuMem.size() <= 0){
std::this_thread::sleep_for(std::chrono::milliseconds(3));
continue;
}
algorthim_face_detect(vec_gpuMem);
for(int i=0;i < vec_gpuMem.size(); i++){
DeviceMemory* mem = vec_gpuMem[i];
if(mem->getSize() <= 0){
continue;
}
delete mem;
mem = nullptr;
}
vec_gpuMem.clear();
}
aclrtDestroyContext(ctx);
printf("algorthim_process_thread exit. \n");
return 0;
}
void algorthim_face_detect(vector<DeviceMemory*> vec_gpuMem) {
vector<string> interest_task_list;
vector<sy_img> interest_imgs;
vector<DeviceMemory*> vec_vptMem;
for (int i = 0; i < vec_gpuMem.size(); i++) {
DeviceMemory* mem = vec_gpuMem[i];
sy_img img;
img.w_ = mem->getWidth();
img.h_ = mem->getHeight();
img.c_ = mem->getChannel();
img.data_ = mem->getMem();
interest_imgs.push_back(img);
interest_task_list.push_back(mem->getId());
vec_vptMem.push_back(mem);
}
if (!interest_imgs.empty()) {
unsigned image_size = interest_imgs.size();
// 人脸检测、跟踪
std::vector<onelevel_det_result> facedet_result(image_size);
std::vector<std::vector<int>> face_deleteObjectID(image_size);
int ret = m_face_det_ai_engine.ai_engine_process_batch(interest_task_list, interest_imgs.data(), facedet_result, face_deleteObjectID);
if(ret <= 0){
LOG_ERROR("face detect error!!!");
return;
}
for (int i = 0; i < face_deleteObjectID.size(); ++i){
std::vector<int>().swap(face_deleteObjectID[i]);
}
std::vector<std::vector<int>>().swap(face_deleteObjectID);
std::vector<onelevel_det_result>().swap(facedet_result);
}
}