added getter for net to access underlaying inference network

src/main/java/ch/bildspur/vision/CRNNNetwork.java

@@ -67,4 +67,8 @@ public TextResult run(Mat frame) {
 
         return new TextResult("hello", 0.0f);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/CascadeClassifierNetwork.java

@@ -77,4 +77,8 @@ public int getFlags() {
     public void setFlags(int flags) {
         this.flags = flags;
     }
+
+    public CascadeClassifier getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/ColorizationNetwork.java

@@ -130,4 +130,8 @@ public ImageResult run(Mat frame) {
         CvProcessingUtils.toPImage(output, result);
         return new ImageResult(result);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/DORNDepthEstimationNetwork.java

@@ -72,4 +72,8 @@ public ImageResult run(Mat frame) {
         CvProcessingUtils.toPImage(output, result);
         return new ImageResult(result);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/Face3DDFAV2Network.java

@@ -84,4 +84,8 @@ public ResultList<FacialLandmarkResult> runByDetections(Mat frame, ResultList<Ob
 
         return results;
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/FacemarkLBFNetwork.java

@@ -69,4 +69,8 @@ public ResultList<FacialLandmarkResult> runByDetections(Mat frame, ResultList<Ob
 
         return results;
     }
+
+    public FacemarkLBF getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/MaskRCNN.java

@@ -140,4 +140,8 @@ public float getMaskThreshold() {
     public void setMaskThreshold(float maskThreshold) {
         this.maskThreshold = maskThreshold;
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/MediaPipeBlazeFaceNetwork.java

@@ -87,4 +87,8 @@ public ResultList<ObjectDetectionResult> run(Mat frame) {
 
         return new ResultList<>();
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/MediaPipeFaceLandmark.java

@@ -83,4 +83,8 @@ public ResultList<FacialLandmarkResult> runByDetections(Mat frame, ResultList<Ob
 
         return results;
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/MidasNetwork.java

@@ -95,4 +95,8 @@ private void mapDepthToImage(Mat depthFrame, PImage img) {
         depthFrame.convertTo(depthFrame, CV_8U, alpha, beta);
         CvProcessingUtils.toPImage(depthFrame, img);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/OpenFaceNetwork.java

@@ -73,4 +73,8 @@ public ResultList<VectorResult> runByDetections(PImage image, ResultList<ObjectD
     public ResultList<VectorResult> runByDetections(Mat frame, ResultList<ObjectDetectionResult> detections) {
         return multiProcessor.runByDetections(frame, detections);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/SSDMobileNetwork.java

@@ -118,4 +118,8 @@ public float getConfidenceThreshold() {
     public void setConfidenceThreshold(float confidenceThreshold) {
         this.confidenceThreshold = confidenceThreshold;
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/StyleTransferNetwork.java

@@ -69,4 +69,8 @@ public ImageResult run(Mat frame) {
         CvProcessingUtils.toPImage(output, result);
         return new ImageResult(result);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/SuperResolutionNetwork.java

@@ -51,4 +51,7 @@ public ImageResult run(Mat frame) {
         return new ImageResult(result);
     }
 
+    public DnnSuperResImpl getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/TesseractNetwork.java

@@ -69,4 +69,8 @@ public ResultList<TextResult> runByDetections(PImage image, ResultList<ObjectDet
     public ResultList<TextResult> runByDetections(Mat frame, ResultList<ObjectDetectionResult> detections) {
         return polyExecutor.runByDetections(frame, detections);
     }
+
+    public TessBaseAPI getApi() {
+        return api;
+    }
 }

src/main/java/ch/bildspur/vision/TextBoxesNetwork.java

@@ -73,4 +73,8 @@ public float getNmsThreshold() {
     public void setNmsThreshold(float nmsThreshold) {
         this.nmsThreshold = nmsThreshold;
     }
+
+    public TextDetectorCNN getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/ULFGFaceDetectionNetwork.java

@@ -207,4 +207,8 @@ public float getIouThreshold() {
     public void setIouThreshold(float iouThreshold) {
         this.iouThreshold = iouThreshold;
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/main/java/ch/bildspur/vision/network/ClassificationNetwork.java

@@ -110,4 +110,8 @@ public ResultList<ClassificationResult> runByDetections(PImage image, ResultList
     public ResultList<ClassificationResult> runByDetections(Mat frame, ResultList<ObjectDetectionResult> detections) {
         return multiProcessor.runByDetections(frame, detections);
     }
+
+    public Net getNet() {
+        return net;
+    }
 }

src/test/java/ch/bildspur/vision/test/YOLODetectionTest.java

@@ -5,6 +5,7 @@
 import ch.bildspur.vision.YOLONetwork;
 import ch.bildspur.vision.result.ObjectDetectionResult;
 import ch.bildspur.vision.test.tools.StopWatch;
+import org.opencv.dnn.Dnn;
 import processing.core.PApplet;
 import processing.core.PImage;
 
@@ -44,6 +45,9 @@ public void setup() {
         println("loading model...");
         yolo.setup();
 
+        yolo.getNet().setPreferableBackend(Dnn.DNN_BACKEND_OPENCV);
+        yolo.getNet().setPreferableTarget(Dnn.DNN_TARGET_OPENCL);
+
         yolo.setConfidenceThreshold(0.2f);
 
         println("inferencing...");