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gamera_videos_no_ui
Commit e2bbbbe3 by “liusq”
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人形检测关闭算法

parent b86676af
Showing with 115 additions and 99 deletions
CameraHandle.cpp
......@@ -599,118 +599,122 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
int uniforms=0x00;
std::map<int,int>resMap;
//穿工服算法
if ((algorithmPermissions & 0x01<<2) != 0) {
uniforms=algorithmTaskManage.executeFindHuManCar(frame,0x02,currentPlates,resMap,sSn,heightReference);
if(resMap.size()>0x00){
faSize=resMap.at(0x00);
uniforms=resMap.at(0x02);
if ((algorithmPermissions & 0x01<<3) != 0) {
//穿工服算法
if ((algorithmPermissions & 0x01<<2) != 0) {
uniforms=algorithmTaskManage.executeFindHuManCar(frame,0x02,currentPlates,resMap,sSn,heightReference);
if(resMap.size()>0x00){
faSize=resMap.at(0x00);
uniforms=resMap.at(0x02);
}
}else{
//人形
uniforms=algorithmTaskManage.executeFindHuManCar(frame,0x00,currentPlates,resMap,sSn,heightReference);
if(resMap.size()>0x00){
faSize=resMap.at(0x00);
uniforms=faSize;
}
}
}else{
//人形
uniforms=algorithmTaskManage.executeFindHuManCar(frame,0x00,currentPlates,resMap,sSn,heightReference);
if(resMap.size()>0x00){
faSize=resMap.at(0x00);
uniforms=faSize;
if(uniforms==-2 || faSize==-2){
qInfo() << "没有可用的HumanDetection对象可以调度";
return ;
}
}
if(uniforms==-2 || faSize==-2){
qInfo() << "没有可用的HumanDetection对象可以调度";
return ;
}
QPoint point_info(faSize,uniforms);
if(isChanged(point_info,faceMapWorker)){
if(faceCount.load(std::memory_order_relaxed)%face_frequency==0){
int worker=0x00;
if ((algorithmPermissions & 0x01<<2) != 0) {
worker = (faSize - uniforms > 0) ? (faSize - uniforms) : 0;
}
qInfo()<<"工作人数==>"<<worker;
vides_data::response* resp=httpService.httpPostFacePopulation(imgs,faSize,worker,sSn,currentTime);
if (resp->code!= 0) {
if(resp->msg=="TimeoutError") {
QByteArray num_imgs;
httpService.setHttpUrl(httpUrl);
vides_data::response* img_resp = httpService.httpPostFacePopulation(num_imgs,faSize,worker,sSn,currentTime);
if (img_resp->code != 0) {
qInfo()<<"不加图片人数变化推送信息推送失败";
}
instace.deleteObj(img_resp);
QPoint point_info(faSize,uniforms);
if(isChanged(point_info,faceMapWorker)){
if(faceCount.load(std::memory_order_relaxed)%face_frequency==0){
int worker=0x00;
if ((algorithmPermissions & 0x01<<2) != 0) {
worker = (faSize - uniforms > 0) ? (faSize - uniforms) : 0;
}
}
qInfo()<<"工作人数==>"<<worker;
vides_data::response* resp=httpService.httpPostFacePopulation(imgs,faSize,worker,sSn,currentTime);
instace.deleteObj(resp);
faceMapWorker.setX(faSize);
faceMapWorker.setY(uniforms);
}
}
if(faSize>0 && (algorithmPermissions & 0x01<<1) != 0){
std::list<vides_data::faceRecognitionResult>faces;
algorithmTaskManage.executeFindDoesItExistEmployee(frame,faces,sSn);
if (faces.size()>0) {
for(auto face:faces){
vides_data::requestFaceReconition faceReconition;
faceReconition.id = face.id;
faceReconition.img = imgs;
faceReconition.sn = sSn;
faceReconition.time = currentTime;
faceReconition.area.top_left_corner_x=face.x;
faceReconition.area.top_left_corner_y=face.y;
faceReconition.area.bottom_right_corner_x= face.x + face.width;
faceReconition.area.bottom_right_corner_y= face.y + face.height;
faceReconition.area.bottom_left_corner_x = face.x;
faceReconition.area.bottom_left_corner_y = face.y + face.height;
faceReconition.area.top_right_corner_x = face.x + face.width;
faceReconition.area.top_right_corner_y = face.y;
httpService.setHttpUrl(httpUrl);
vides_data::response* resp = httpService.httpPostFaceReconition(faceReconition);
mapFaces.insert(std::make_pair( face.id, faceReconition));
if (resp->code!= 0) {
if(resp->msg=="TimeoutError") {
faceReconition.img.clear();
QByteArray num_imgs;
httpService.setHttpUrl(httpUrl);
vides_data::response* img_resp = httpService.httpPostFaceReconition(faceReconition);
vides_data::response* img_resp = httpService.httpPostFacePopulation(num_imgs,faSize,worker,sSn,currentTime);
if (img_resp->code != 0) {
qInfo()<<"不加图片人脸信息推送失败";
qInfo()<<"不加图片识别人code"<<resp->code;
qInfo()<<"不加图片识别人msg"<<resp->msg;
qInfo()<<"不加图片识别人脸信息推送失败"<<face.id;
qInfo()<<"不加图片人数变化推送信息推送失败";
}
instace.deleteObj(img_resp);
}
}
instace.deleteObj(resp);
faceMapWorker.setX(faSize);
faceMapWorker.setY(uniforms);
}
}
}
if ((algorithmPermissions & 0x01<<2) != 0) {
if(uniforms>0 ){
//未穿工服的人数
std::list<QString> outUniforms;
faceUniformOverlap(mapFaces,currentPlates,outUniforms);
for(auto strUniform:outUniforms){
httpService.setHttpUrl(httpUrl);
vides_data::response* resp=httpService.httpPostUniforms(imgs,strUniform, sSn,currentTime);
if (resp->code!= 0) {
if(resp->msg=="TimeoutError") {
QByteArray num_imgs;
httpService.setHttpUrl(httpUrl);
vides_data::response* img_resp=httpService.httpPostUniforms(num_imgs,strUniform, sSn,currentTime);
if (img_resp->code != 0) {
qInfo()<<"不加图片推送未穿工服人数失败";
if(faSize>0 && (algorithmPermissions & 0x01<<1) != 0){
std::list<vides_data::faceRecognitionResult>faces;
algorithmTaskManage.executeFindDoesItExistEmployee(frame,faces,sSn);
if (faces.size()>0) {
for(auto face:faces){
vides_data::requestFaceReconition faceReconition;
faceReconition.id = face.id;
faceReconition.img = imgs;
faceReconition.sn = sSn;
faceReconition.time = currentTime;
faceReconition.area.top_left_corner_x=face.x;
faceReconition.area.top_left_corner_y=face.y;
faceReconition.area.bottom_right_corner_x= face.x + face.width;
faceReconition.area.bottom_right_corner_y= face.y + face.height;
faceReconition.area.bottom_left_corner_x = face.x;
faceReconition.area.bottom_left_corner_y = face.y + face.height;
faceReconition.area.top_right_corner_x = face.x + face.width;
faceReconition.area.top_right_corner_y = face.y;
httpService.setHttpUrl(httpUrl);
vides_data::response* resp = httpService.httpPostFaceReconition(faceReconition);
mapFaces.insert(std::make_pair( face.id, faceReconition));
if (resp->code!= 0) {
if(resp->msg=="TimeoutError") {
faceReconition.img.clear();
httpService.setHttpUrl(httpUrl);
vides_data::response* img_resp = httpService.httpPostFaceReconition(faceReconition);
if (img_resp->code != 0) {
qInfo()<<"不加图片人脸信息推送失败";
qInfo()<<"不加图片识别人code"<<resp->code;
qInfo()<<"不加图片识别人msg"<<resp->msg;
qInfo()<<"不加图片识别人脸信息推送失败"<<face.id;
}
instace.deleteObj(img_resp);
}
instace.deleteObj(img_resp);
}
instace.deleteObj(resp);
}
instace.deleteObj(resp);
}
}
if ((algorithmPermissions & 0x01<<2) != 0) {
if(uniforms>0 ){
//未穿工服的人数
std::list<QString> outUniforms;
faceUniformOverlap(mapFaces,currentPlates,outUniforms);
for(auto strUniform:outUniforms){
httpService.setHttpUrl(httpUrl);
vides_data::response* resp=httpService.httpPostUniforms(imgs,strUniform, sSn,currentTime);
if (resp->code!= 0) {
if(resp->msg=="TimeoutError") {
QByteArray num_imgs;
httpService.setHttpUrl(httpUrl);
vides_data::response* img_resp=httpService.httpPostUniforms(num_imgs,strUniform, sSn,currentTime);
if (img_resp->code != 0) {
qInfo()<<"不加图片推送未穿工服人数失败";
}
instace.deleteObj(img_resp);
}
}
instace.deleteObj(resp);
}
}
}
}else{
qInfo()<<"人形识别算法关闭，只有车牌算法了";
}
//关闭车牌识别
if ((algorithmPermissions & 0x01) == 0) {
......
HttpService.cpp
......@@ -538,7 +538,10 @@ vides_data::response *HttpService::httpDeviceConfig(const QString &serialNumber,
config.uniformConfig.humanDetectionLen = uniformConfigObj["humanDetectionLen"].toInt();
config.uniformConfig.updateAt = uniformConfigObj["updateAt"].toVariant().toULongLong();
config.uniformConfig.carShapeConfidence = uniformConfigObj["carShapeConfidence"].toVariant().toFloat();
//解析 humanConfig
QJsonObject humanConfigObj = dataObj["humanConfig"].toObject();
config.humanConfig.isOn=humanConfigObj["isOn"].toBool();
config.humanConfig.updateAt = humanConfigObj["updateAt"].toVariant().toULongLong();
// 解析 devicesConfig
QJsonObject devicesConfigObj = dataObj["camera"].toObject();
......
VidesData.h
......@@ -279,6 +279,12 @@ struct UniformConfig {
quint64 updateAt;
};
struct HumanConfig{
bool isOn;
int humanDetectionLen;
quint64 updateAt;
};
struct MqttConfig {
QString address;
QString clientId;
......@@ -299,6 +305,8 @@ struct responseConfig {
UniformConfig uniformConfig;
Camera camera;
MqttConfig mqttConfig;
HumanConfig humanConfig;
};
struct responseMqttData{
......
mainwindow.cpp
......@@ -170,7 +170,7 @@ void MainWindow::divParameterUpdate(vides_data::responseConfig &cloudConfig,QStr
cloudConfig.mqttConfig.topic=config.mqttConfig.topic;
runOrRebootMqtt(cloudConfig.mqttConfig,httpUrl,serialNumber);
}
__uint8_t alg= this->intToUint8t(faceAlgorithm,licensePlateAlgorithm,uniformAlgorithm) ;
__uint8_t alg= this->intToUint8t(faceAlgorithm,licensePlateAlgorithm,uniformAlgorithm,false) ;
vides_data::DetectionParams params;
......@@ -556,7 +556,7 @@ void MainWindow::startCamera(const QString &httpurl){
reStatus.camera_info_list.push_front(camera_info);
__uint8_t new_algorithm= intToUint8t(devConfig.faceConfig.isOn,devConfig.licensePlateConfig.isOn,devConfig.uniformConfig.isOn);
__uint8_t new_algorithm= intToUint8t(devConfig.faceConfig.isOn,devConfig.licensePlateConfig.isOn,devConfig.uniformConfig.isOn,devConfig.humanConfig.isOn);
offlineCameraHandle->cameraParameterUpdate(devConfig);
offlineCameraHandle->initAlgorithmPermissions(new_algorithm);
......@@ -961,9 +961,10 @@ void MainWindow::initRecordingToString(QString &recorJson){
recorJson = QString::fromUtf8(jsonDocument.toJson());
}
__uint8_t MainWindow::intToUint8t(bool faceAlgorithm, bool licensePlateAlgorithm, bool uniformAlgorithm) {
__uint8_t MainWindow::intToUint8t(bool faceAlgorithm, bool licensePlateAlgorithm, bool uniformAlgorithm,bool humanAlgorithm) {
__uint8_t result = 0;
//人形识别对应最高高位（第3位）
result |=(humanAlgorithm?1:0)<<3;
// 工服识别对应最高位（第2位）
result |= (uniformAlgorithm ? 1 : 0) << 2;
......@@ -1013,7 +1014,7 @@ void MainWindow::initCameras(vides_data::cameraParameters &parameter,vides_data:
cameraHandle->findFirmwareVersion(camera_info.firmware_version);
camera_info_list.push_front(camera_info);
__uint8_t new_algorithm= intToUint8t(devConfig.faceConfig.isOn,devConfig.licensePlateConfig.isOn,devConfig.uniformConfig.isOn);
__uint8_t new_algorithm= intToUint8t(devConfig.faceConfig.isOn,devConfig.licensePlateConfig.isOn,devConfig.uniformConfig.isOn,devConfig.humanConfig.isOn);
cameraHandle->initAlgorithmPermissions(new_algorithm);
cameraHandle->initParkingSpaceInfo(areas);
......
mainwindow.h
......@@ -44,7 +44,7 @@ public:
void initCameras(vides_data::cameraParameters &parameter, vides_data::responseConfig &devConfig, const std::list<vides_data::responseArea>&areas,std::list<vides_data::requestCameraInfo>&camera_info_list);
__uint8_t intToUint8t(bool faceAlgorithm,bool licensePlateAlgorithm,bool uniformAlgorithm);
__uint8_t intToUint8t(bool faceAlgorithm,bool licensePlateAlgorithm,bool uniformAlgorithm,bool humanAlgorithm);
//盒子参数更新
void divParameterUpdate(vides_data::responseConfig &cloudConfig,QString &httpUrl,QString &serialNumber );
......
moc_predefs.h 100644 → 100755
File mode changed from 100644 to 100755
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