PicAnalysis.cpp
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#include "PicAnalysis.h"
#include "./utils/logger.hpp"
PicAnalysis::PicAnalysis(/* args */)
{
aclInit(nullptr);
}
PicAnalysis::~PicAnalysis()
{
release();
aclFinalize();
}
int PicAnalysis::init(int dev_id) {
int ret = SY_FAILED;
ret = m_vehicle_analysis.init(dev_id, 16);
if(0 != ret){
return -1;
}
// head_tail_param ht_param;
// ht_param.devId = dev_id;
// ht_param.max_batch = 16;
// ret = m_head_tail_algorithm.init(ht_param);
// if(0 != ret){
// return -1;
// }
ret = m_clothes_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_human_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_human_car_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_motor_rainshed_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_motor_phone_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_road_seg_algorithm.init(dev_id);
if(0 != ret){
return -1;
}
ret = m_crop_util.init(dev_id);
if(0 != ret){
return -1;
}
ACL_CALL(aclrtCreateContext(&m_ctx, 0), ACL_SUCCESS, SY_FAILED);
ACL_CALL(aclrtSetCurrentContext(m_ctx), ACL_SUCCESS, SY_FAILED);
ACL_CALL(aclrtCreateStream(&stream), ACL_SUCCESS, SY_FAILED);
m_dvpp = new DvppProcess();
m_dvpp->InitResource(stream);
return 0;
}
int PicAnalysis::analysis_sync(vector<string> vec_file_path){
ACL_CALL(aclrtSetCurrentContext(m_ctx), ACL_SUCCESS, SY_FAILED);
const int batch_size = vec_file_path.size();
vector<sy_img> vec_img;
int ret = SY_FAILED;
// ImageData 内部是智能指针，分析未处理完成前不得释放
ImageData dvpp_data[batch_size];
for (size_t i = 0; i < vec_file_path.size(); i++)
{
string file_path = vec_file_path[i];
ImageData src;
ret = Utils::ReadImageFile(src, file_path); //将二进制图像读入内存，并读取宽高信息
if(ret != SY_SUCCESS){
LOG_ERROR("ReadImageFile failed!");
return -1;
}
ret = m_dvpp->CvtJpegToYuv420sp(dvpp_data[i], src); //解码
if(ret != SY_SUCCESS){
LOG_ERROR("CvtJpegToYuv420sp failed!");
return -1;
}
sy_img img;
img.w_ = dvpp_data[i].width;
img.h_ = dvpp_data[i].height;
img.data_ = dvpp_data[i].data.get();
vec_img.push_back(img);
}
va_result* result = m_vehicle_analysis.detect(vec_img);
m_road_seg_algorithm.detect(vec_img);
for (int b = 0; b < batch_size; b++)
{
ImageData src = dvpp_data[b];
for(int c=0;c<result[b].count;c++)
{
vehicle_info& result_info = result[b].info[c];
int shot_type=result[b].info[c].type;
// 行人
if (6 == shot_type)
{
sy_rect human_rect = result_info.vehicle_body_detect_res.rect;
ImageData* human_data = m_crop_util.crop(src, human_rect.left_, human_rect.top_, human_rect.left_ + human_rect.width_, human_rect.top_ + human_rect.height_);
sy_img img;
img.w_ = human_data->alignWidth;
img.h_ = human_data->alignHeight;
img.data_ = human_data->data_naked;
vector<sy_img> vec_human_img;
vec_human_img.push_back(img);
human_analysis(vec_human_img);
delete human_data;
human_data = nullptr;
} else if(1 == shot_type) {
// 车尾，判断是否 货车尾部货厢载人
if(result_info.vpt_type == 6 || result_info.vpt_type == 7){
if(result_info.manned_res.hs_count > 0){
// 货车载人
}
}
} else {
if(result_info.vpt_type == 1 || result_info.vpt_type == 2 || result_info.vpt_type == 3){
if(result_info.manned_res.hs_count >= 3){
// 摩托车、三轮车载人
}
}
}
// 司乘
int vpd_num = result_info.vehicle_pendant_det_res.count;
vector<sy_img> vec_human_img;
for(int p=0; p<vpd_num; p++)
{
int index = result_info.vehicle_pendant_det_res.vpd_res[p].index;
if(index == 0){
sy_rect human_rect = result_info.vehicle_pendant_det_res.vpd_res[p].rect;
ImageData* human_data = m_crop_util.crop(src, human_rect.left_, human_rect.top_, human_rect.left_ + human_rect.width_, human_rect.top_ + human_rect.height_);
sy_img img;
img.w_ = human_data->alignWidth;
img.h_ = human_data->alignHeight;
img.data_ = human_data->data_naked;
vec_human_img.push_back(img);
}
}
m_clothes_algorithm.detect(vec_human_img);
for(int p=0; p<vpd_num; p++)
{
int index = result_info.vehicle_pendant_det_res.vpd_res[p].index;
if(index == 0){
sy_rect human_rect = result_info.vehicle_pendant_det_res.vpd_res[p].rect;
}
}
// 摩托车
if(shot_type==2)//摩托车
{
//摩托车驾驶人是否戴安全帽
// analysis_result.motor_helmeted = result_info.mta_res.motor_driver_helmeted.status;
// float score=result_info.mta_res.motor_driver_helmeted.confidence;
sy_rect motor_rect = result_info.vehicle_body_detect_res.rect;
ImageData* motor_data = m_crop_util.crop(src, motor_rect.left_, motor_rect.top_, motor_rect.left_ + motor_rect.width_, motor_rect.top_ + motor_rect.height_);
sy_img img;
img.w_ = motor_data->alignWidth;
img.h_ = motor_data->alignHeight;
img.data_ = motor_data->data_naked;
vector<sy_img> vec_motor_img;
vec_motor_img.push_back(img);
vector<int> vec_rainshed_result = m_motor_rainshed_algorithm.detect(vec_motor_img);
if (vec_rainshed_result.size() > 0)
{
result_info.rainshed = vec_rainshed_result[0];
}
vector<int> vec_phone_result = m_motor_phone_algorithm.detect(vec_motor_img);
if (vec_phone_result.size() > 0)
{
int phoning = vec_phone_result[0];
}
delete motor_data;
motor_data = nullptr;
}
}
}
// vector<HeadTailResult> head_tail_result;
// ret = m_head_tail_algorithm.detect(vec_img, head_tail_result);
// if (0 != ret) {
// LOG_ERROR("m_head_tail_algorithm failed!");
// head_tail_result.clear();
// }
LOG_INFO("analysis_sync finished!");
return 0;
}
int PicAnalysis::release() {
ACL_CALL(aclrtSetCurrentContext(m_ctx), ACL_SUCCESS, SY_FAILED);
delete m_dvpp;
m_dvpp = nullptr;
if (stream != nullptr) {
int ret = aclrtDestroyStream(stream);
if (ret != ACL_SUCCESS) {
LOG_ERROR("destroy stream failed");
}
stream = nullptr;
}
aclrtDestroyContext(m_ctx);
return 0;
}
int PicAnalysis::human_analysis(vector<sy_img> vec_img) {
vector<BodyColorInfo> vec_body_color = m_human_algorithm.detect(vec_img);
}
int PicAnalysis::check_motor_retrograde_motion(vector<sy_img> vec_motor_img) {
m_human_car_algorithm.detect(vec_motor_img);
}