Chaneges to opi_rtsp test application

- refactoring
  - can use normal YOLOv8 files converted to ONNX format
  - does not work with azaion ONNX files!

tmp/opi_rtsp/aiengine.cpp

@@ -6,7 +6,7 @@
 #ifdef OPI5_BUILD
 #include "src-opi5/aiengineinferenceopi5.h"
 #else
-#include "src-onnx/aiengineinferenceonnx.h"
+#include "src-opencv-onnx/aiengineinferenceopencvonnx.h"
 #endif
 
 AiEngine::AiEngine(QString modelPath, QObject *parent)
@@ -18,7 +18,7 @@ AiEngine::AiEngine(QString modelPath, QObject *parent)
 #ifdef OPI5_BUILD
     mInference = new AiEngineInferenceOpi5(modelPath);
 #else
-    mInference = new AiEngineInferenceOnnx(modelPath);
+    mInference = new AiEngineInferenceOpencvOnnx(modelPath);
 #endif
 
     QThread *inferenceThread = new QThread(this);

tmp/opi_rtsp/opi_rtsp.pro

@@ -19,12 +19,12 @@ opi5 {
     HEADERS += $$PWD/src-opi5/*.h
 } else {
     message("ONNX build")
-    message("You must use YOLOv10 ONNX files")
+    message("You must use YOLOv8 ONNX files")
     QMAKE_CXXFLAGS += -DONNX_BUILD
     INCLUDEPATH += /opt/onnxruntime-linux-x64-1.18.0/include
     LIBS += /opt/onnxruntime-linux-x64-1.18.0/lib/libonnxruntime.so.1.18.0
     QMAKE_LFLAGS += -Wl,-rpath,/opt/onnxruntime-linux-x64-1.18.0/lib
     QMAKE_LFLAGS += -Wl,-rpath,/usr/local/lib
-    SOURCES += $$PWD/src-onnx/*.cpp
+    SOURCES += $$PWD/src-opencv-onnx/*.cpp
-    HEADERS += $$PWD/src-onnx/*.h
+    HEADERS += $$PWD/src-opencv-onnx/*.h
 }

tmp/opi_rtsp/src-opencv-onnx/aiengineinferenceopencvonnx.cpp

@@ -1,13 +1,13 @@
 #include <QDebug>
 #include <QThread>
-#include "aiengineinferenceonnx.h"
+#include "aiengineinferenceopencvonnx.h"
 
 
 const int INFERENCE_SQUARE_WIDTH  = 640;
 const int INFERENCE_SQUARE_HEIGHT = 640;
 
 
-AiEngineInferenceOnnx::AiEngineInferenceOnnx(QString modelPath, QObject *parent)
+AiEngineInferenceOpencvOnnx::AiEngineInferenceOpencvOnnx(QString modelPath, QObject *parent)
     : AiEngineInference{modelPath, parent},
       mInference(modelPath.toStdString(), cv::Size(640, 640), "classes.txt")
 {
@@ -53,7 +53,7 @@ cv::Mat resizeAndPad(const cv::Mat& src)
 }
 
 
-void AiEngineInferenceOnnx::performInferenceSlot(cv::Mat frame)
+void AiEngineInferenceOpencvOnnx::performInferenceSlot(cv::Mat frame)
 {
     try {
         //qDebug() << "performInferenceSlot() in thread: " << QThread::currentThreadId();
@@ -64,6 +64,8 @@ void AiEngineInferenceOnnx::performInferenceSlot(cv::Mat 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];
 
@@ -76,19 +78,6 @@ void AiEngineInferenceOnnx::performInferenceSlot(cv::Mat frame)
             object.rectangle.bottom = detection.box.y + detection.box.height;
             object.rectangle.right  = detection.box.x + detection.box.width;
             result.objects.append(object);
-
-            /*
-            // Draw box and text
-            cv::Rect box     = detection.box;
-            cv::Scalar color = detection.color;
-            cv::rectangle(frame, box, color, 2);
-            std::string classString = detection.className + ' ' + std::to_string(detection.confidence).substr(0, 4);
-            //std::cout << "classString:" << classString << std::endl;
-            cv::Size textSize = cv::getTextSize(classString, cv::FONT_HERSHEY_DUPLEX, 1, 2, 0);
-            cv::Rect textBox(box.x, box.y - 40, textSize.width + 10, textSize.height + 20);
-            cv::rectangle(scaledImage, textBox, color, cv::FILLED);
-            cv::putText(scaledImage, classString, cv::Point(box.x + 5, box.y - 10), cv::FONT_HERSHEY_DUPLEX, 1, cv::Scalar(0, 0, 0), 2, 0);
-            */
         }
 
         if (result.objects.empty() == false) {

tmp/opi_rtsp/src-opencv-onnx/aiengineinferenceopencvonnx.h

@@ -2,13 +2,13 @@
 
 #include <QObject>
 #include "aiengineinference.h"
-#include "src-onnx/inference.h"
+#include "src-opencv-onnx/inference.h"
 
-class AiEngineInferenceOnnx : public AiEngineInference
+class AiEngineInferenceOpencvOnnx : public AiEngineInference
 {
     Q_OBJECT
 public:
-    explicit AiEngineInferenceOnnx(QString modelPath, QObject *parent = nullptr);
+    explicit AiEngineInferenceOpencvOnnx(QString modelPath, QObject *parent = nullptr);
 
 public slots:
     void performInferenceSlot(cv::Mat frame) override;