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CarsCounting example get detector from config file #423

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Jul 29, 2023
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CarsCounting example get detector from config file #423

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108 changes: 30 additions & 78 deletions example/CarsCounting.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -16,29 +16,10 @@ CarsCounting::CarsCounting(const cv::CommandLineParser& parser)

m_drawHeatMap = parser.get<int>("heat_map") != 0;

m_weightsFile = parser.get<std::string>("weights");
m_configFile = parser.get<std::string>("config");
m_namesFile = parser.get<std::string>("names");
if (m_weightsFile.empty() && m_configFile.empty())
{
m_weightsFile = pathToModel + "yolov4.weights";
m_configFile = pathToModel + "yolov4.cfg";
}
if (m_namesFile.empty())
m_namesFile = pathToModel + "coco.names";

std::map<std::string, tracking::Detectors> infMap;
infMap.emplace("darknet", tracking::Detectors::Yolo_Darknet);
infMap.emplace("tensorrt", tracking::Detectors::Yolo_TensorRT);
infMap.emplace("ocvdnn", tracking::Detectors::DNN_OCV);
std::string inference = parser.get<std::string>("inference");
auto infType = infMap.find(inference);
if (infType != std::end(infMap))
m_detectorType = infType->second;
else
m_detectorType = tracking::Detectors::Yolo_Darknet;
std::string settingsFile = parser.get<std::string>("settings");
m_trackerSettingsLoaded = ParseTrackerSettings(settingsFile, m_trackerSettings);

std::cout << "Inference framework set " << inference << " used " << m_detectorType << ", weights: " << m_weightsFile << ", config: " << m_configFile << ", names: " << m_namesFile << std::endl;
std::cout << "Inference loaded (" << m_trackerSettingsLoaded << ") from " << settingsFile << ": used " << m_trackerSettings.m_detectorBackend << " backend, weights: " << m_trackerSettings.m_nnWeights << ", config: " << m_trackerSettings.m_nnConfig << ", names: " << m_trackerSettings.m_classNames << std::endl;

m_geoBindFile = parser.get<std::string>("geo_bind");
}
Expand Down Expand Up @@ -155,64 +136,32 @@ void CarsCounting::DrawTrack(cv::Mat frame, const TrackingObject& track, bool dr
///
bool CarsCounting::InitDetector(cv::UMat frame)
{
if (!m_trackerSettingsLoaded)
return false;

config_t config;

#if 1
switch (m_detectorType)
config.emplace("modelConfiguration", m_trackerSettings.m_nnConfig);
config.emplace("modelBinary", m_trackerSettings.m_nnWeights);
config.emplace("confidenceThreshold", std::to_string(m_trackerSettings.m_confidenceThreshold));
config.emplace("classNames", m_trackerSettings.m_classNames);
config.emplace("maxCropRatio", std::to_string(m_trackerSettings.m_maxCropRatio));
config.emplace("maxBatch", std::to_string(m_trackerSettings.m_maxBatch));
config.emplace("gpuId", std::to_string(m_trackerSettings.m_gpuId));
config.emplace("net_type", m_trackerSettings.m_netType);
config.emplace("inference_precision", m_trackerSettings.m_inferencePrecision);
config.emplace("video_memory", std::to_string(m_trackerSettings.m_maxVideoMemory));
config.emplace("dnnTarget", m_trackerSettings.m_dnnTarget);
config.emplace("dnnBackend", m_trackerSettings.m_dnnBackend);
config.emplace("inWidth", std::to_string(m_trackerSettings.m_inputSize.width));
config.emplace("inHeight", std::to_string(m_trackerSettings.m_inputSize.height));

for (auto wname : m_trackerSettings.m_whiteList)
{
case tracking::Detectors::Yolo_Darknet:
break;

case tracking::Detectors::DNN_OCV:
#if 1
config.emplace("dnnTarget", "DNN_TARGET_CPU");
config.emplace("dnnBackend", "DNN_BACKEND_OPENCV");
#else
config.emplace("dnnTarget", "DNN_TARGET_CUDA");
config.emplace("dnnBackend", "DNN_BACKEND_CUDA");
#endif
break;

default:
break;
config.emplace("white_list", wname);
}

config.emplace("modelConfiguration", m_configFile);
config.emplace("modelBinary", m_weightsFile);
config.emplace("classNames", m_namesFile);
config.emplace("confidenceThreshold", "0.5");
config.emplace("nmsThreshold", "0.4");
config.emplace("swapRB", "0");
config.emplace("maxCropRatio", "-1");
if (m_batchSize > 1)
config.emplace("maxBatch", std::to_string(m_batchSize));

config.emplace("white_list", "person");
config.emplace("white_list", "car");
config.emplace("white_list", "bicycle");
config.emplace("white_list", "motorbike");
config.emplace("white_list", "bus");
config.emplace("white_list", "truck");
config.emplace("white_list", "vehicle");

m_detector = BaseDetector::CreateDetector(m_detectorType, config, frame);

#else // Background subtraction

#if 1
config.emplace("history", std::to_string(cvRound(10 * minStaticTime * m_fps)));
config.emplace("varThreshold", "16");
config.emplace("detectShadows", "1");
m_detector = CreateDetector(tracking::Detectors::Motion_MOG2, config, frame);
#else
config.emplace("minPixelStability", "15");
config.emplace("maxPixelStability", "900");
config.emplace("useHistory", "1");
config.emplace("isParallel", "1");
m_detector = CreateDetector(tracking::Detectors::Motion_CNT, config, m_useLocalTracking, frame);
#endif

#endif
m_detector = BaseDetector::CreateDetector((tracking::Detectors)m_trackerSettings.m_detectorBackend, config, frame);

return m_detector.operator bool();
}
Expand All @@ -223,6 +172,9 @@ bool CarsCounting::InitDetector(cv::UMat frame)
///
bool CarsCounting::InitTracker(cv::UMat frame)
{
if (!m_trackerSettingsLoaded)
return false;

if (m_drawHeatMap)
{
if (frame.channels() == 3)
Expand Down Expand Up @@ -499,10 +451,10 @@ bool CarsCounting::ReadGeobindings(cv::Size frameSize)
std::string y1 = line + "_y1";
if (reader.HasValue("lines", x0) && reader.HasValue("lines", y0) && reader.HasValue("lines", x1) && reader.HasValue("lines", y1))
{
cv::Point2f p0(reader.GetReal("lines", x0, 0), reader.GetReal("lines", y0, 0));
cv::Point2f p1(reader.GetReal("lines", x1, 0), reader.GetReal("lines", y1, 0));
cv::Point2f p0(static_cast<float>(reader.GetReal("lines", x0, 0)), static_cast<float>(reader.GetReal("lines", y0, 0)));
cv::Point2f p1(static_cast<float>(reader.GetReal("lines", x1, 0)), static_cast<float>(reader.GetReal("lines", y1, 0)));
std::cout << "Line" << i << ": " << p0 << " - " << p1 << std::endl;
AddLine(RoadLine(p0, p1, i));
AddLine(RoadLine(p0, p1, static_cast<unsigned int>(i)));
}
else
{
Expand Down
5 changes: 0 additions & 5 deletions example/CarsCounting.h
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Expand Up @@ -457,11 +457,6 @@ class CarsCounting final : public VideoExample

private:

std::string m_weightsFile;
std::string m_configFile;
std::string m_namesFile;
tracking::Detectors m_detectorType = tracking::Detectors::Yolo_Darknet;

bool m_drawHeatMap = false;

bool InitDetector(cv::UMat frame) override;
Expand Down
6 changes: 1 addition & 5 deletions example/main.cpp
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Expand Up @@ -36,13 +36,9 @@ const char* keys =
"{ cvat_res | | Path to the xml file in cvat format with tracking result | }"
"{ s settings | | Path to the ini file with tracking settings | }"
"{ bs batch_size |1 | Batch size - frames count for processing | }"
"{ inf inference |darknet | For CarsCounting: Type of inference framework: darknet, ocvdnn | }"
"{ w weights | | For CarsCounting: Weights of neural network: yolov4.weights | }"
"{ c config | | For CarsCounting: Config file of neural network: yolov4.cfg | }"
"{ n names | | For CarsCounting: File with classes names: coco.names | }"
"{ wf write_n_frame |1 | Write logs on each N frame: 1 for writing each frame | }"
"{ hm heat_map |0 | For CarsCounting: Draw heat map | }"
"{ gb geo_bind |geo_bind.ini | For CarsCounting: ini file with geographical binding | }"
"{ geo_bind |geo_bind.ini | For CarsCounting: ini file with geographical binding | }"
};

// ----------------------------------------------------------------------
Expand Down
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