Files
autopilot/misc/rtsp_ai_player/src-opencv-onnx/aiengineinferenceopencvonnx.cpp
T
2024-07-14 19:52:45 +02:00

54 lines
1.9 KiB
C++

#include <QDebug>
#include <QThread>
#include "aiengineinferenceopencvonnx.h"
AiEngineInferenceOpencvOnnx::AiEngineInferenceOpencvOnnx(QString modelPath, QObject *parent)
: AiEngineInference{modelPath, parent},
mInference(modelPath.toStdString(), cv::Size(640, 640), "classes.txt")
{
//qDebug() << "TUOMAS test mModelPath=" << mModelPath;
//mEngine = new InferenceEngine(modelPath.toStdString());
//mInference = new Inference(modelPath.toStdString(), cv::Size(INFERENCE_SQUARE_WIDTH, INFERENCE_SQUARE_HEIGHT), "classes.txt");
}
void AiEngineInferenceOpencvOnnx::performInferenceSlot(cv::Mat frame)
{
try {
//qDebug() << "performInferenceSlot() in thread: " << QThread::currentThreadId();
mActive = true;
cv::Mat scaledImage = resizeAndPad(frame);
std::vector<Detection> detections = mInference.runInference(scaledImage);
AiEngineInferenceResult result;
//qDebug() << "performInferenceSlot() found " << detections.size() << " objects";
for (uint i = 0; i < detections.size(); ++i) {
const Detection &detection = detections[i];
// Add detected objects to the results
AiEngineObject object;
object.classId = detection.class_id;
object.propability = detection.confidence;
object.rectangle.top = detection.box.y;
object.rectangle.left = detection.box.x;
object.rectangle.bottom = detection.box.y + detection.box.height;
object.rectangle.right = detection.box.x + detection.box.width;
result.objects.append(object);
}
if (result.objects.empty() == false) {
result.frame = mInference.drawLabels(scaledImage, detections);
emit resultsReady(result);
}
mActive = false;
}
catch (const cv::Exception& e) {
std::cerr << "performInferenceSlot() Error: " << e.what() << std::endl;
}
}