v1.0.3 Added YOLOv8PoseEstimationExample.

Author: EnoxSoftware

Assets/YOLOv8WithOpenCVForUnityExample/Scripts/YOLOv8WithOpenCVForUnity/YOLOv8ClassPredictor.cs

@@ -123,7 +123,7 @@ public virtual Mat infer(Mat image)
                 output_blob[i].Dispose();
             }
 
-            return results;
+            return results;// [1, num_classes]
         }
 
         protected virtual Mat postprocess(List<Mat> output_blob, Size original_shape)

Assets/YOLOv8WithOpenCVForUnityExample/Scripts/YOLOv8WithOpenCVForUnity/YOLOv8ObjectDetector.cs

@@ -156,7 +156,7 @@ public virtual Mat infer(Mat image)
                 output_blob[i].Dispose();
             }
 
-            return results;
+            return results;// [n, 6] (xyxy, conf, cls)
         }
 
         protected virtual Mat postprocess(Mat output_blob, Size original_shape)

Assets/YOLOv8WithOpenCVForUnityExample/Scripts/YOLOv8WithOpenCVForUnity/YOLOv8PoseEstimater.cs

@@ -177,10 +177,14 @@ public virtual List<Mat> infer(Mat image)
 
             det.Dispose();
 
+
             List<Mat> results = new List<Mat>();
             results.Add(det_c0_c6);
             results.Add(masks);
 
+
+            // results[0] = [n, 6] (xyxy, conf, cls)
+            // results[1] = [n, 160, 160] or [n, 640, 640] (masks) 
             return results;
         }
 
@@ -227,7 +231,7 @@ protected virtual Mat postprocess(Mat output_blob, Size original_shape)
                     float[] box_arr = new float[4];
                     box_delta.get(i, 0, box_arr);
 
-                    pickup_blob_numx6mask.put(ind, 0, new float[] { box_arr[0], box_arr[1], box_arr[2], box_arr[3], ((float)minmax.maxVal * conf), (float)minmax.maxLoc.x });
+                    pickup_blob_numx6mask.put(ind, 0, new float[] { box_arr[0], box_arr[1], box_arr[2], box_arr[3], conf, (float)minmax.maxLoc.x });
 
                     float[] mask_arr = new float[num_masks];
                     mask_delta.get(i, 0, mask_arr);
@@ -498,9 +502,9 @@ public virtual void visualize_mask(Mat image, Mat det, Mat masks, float alpha =
             if (masks.empty())
                 return;
 
-            int n = masks.size(0);// 3
-            int h = masks.size(1);// 160
-            int w = masks.size(2);// 160
+            int n = masks.size(0);
+            int h = masks.size(1);
+            int w = masks.size(2);
 
             float maxSize = Mathf.Max((float)image.size().width, (float)image.size().height);
             int mask_w = (int)(w * image.width() / maxSize);