support ultralytics>=8.0.99

.github/workflows/ci.yml

@@ -64,7 +64,7 @@ jobs:
           pip install -e .[dev]
           # stop the build if there are Python syntax errors or undefined names
           python -m scripts.run_code_style check
-          
+
           # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
           flake8 . --exit-zero --max-complexity=10 --max-line-length=127
 
@@ -107,7 +107,7 @@ jobs:
 
       - name: Install ultralytics
         run: >
-          pip install ultralytics==8.0.43
+          pip install ultralytics==8.0.99
 
       - name: Unittest for SAHI+YOLOV5/MMDET/Detectron2 on all platforms
         run: |

.github/workflows/ci_torch1.10.yml

@@ -65,7 +65,7 @@ jobs:
           pip install -e .[dev]
           # stop the build if there are Python syntax errors or undefined names
           python -m scripts.run_code_style check
-          
+
           # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
           flake8 . --exit-zero --max-complexity=10 --max-line-length=127
 
@@ -114,7 +114,7 @@ jobs:
 
       - name: Install ultralytics
         run: >
-          pip install ultralytics==8.0.43
+          pip install ultralytics==8.0.99
 
       - name: Unittest for SAHI+YOLOV5/MMDET/Detectron2 on all platforms
         run: |

.github/workflows/package_testing.yml

@@ -70,11 +70,11 @@ jobs:
       - name: Install YOLOv5(7.0.9)
         run: >
           pip install yolov5==7.0.9
-          
+
       - name: Install DeepSparse
         run: >
           pip install deepsparse
-          
+
       - name: Install Detectron2(0.6)
         run: >
           python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.10/index.html
@@ -89,7 +89,7 @@ jobs:
 
       - name: Install ultralytics
         run: >
-          pip install ultralytics==8.0.43
+          pip install ultralytics==8.0.99
 
       - name: Install latest SAHI package
         run: >

sahi/models/yolov8.py

@@ -60,7 +60,7 @@ def perform_inference(self, image: np.ndarray):
             raise ValueError("Model is not loaded, load it by calling .load_model()")
         prediction_result = self.model(image[:, :, ::-1], verbose=False)  # YOLOv8 expects numpy arrays to have BGR
         prediction_result = [
-            result.boxes.boxes[result.boxes.boxes[:, 4] >= self.confidence_threshold] for result in prediction_result
+            result.boxes.data[result.boxes.data[:, 4] >= self.confidence_threshold] for result in prediction_result
         ]
 
         self._original_predictions = prediction_result