ultralytics 8.3.65 Rockchip RKNN Integration for Ultralytics YOLO models (#16308)

Signed-off-by: Francesco Mattioli <Francesco.mttl@gmail.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Burhan <Burhan-Q@users.noreply.github.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Lakshantha Dissanayake <lakshanthad@yahoo.com>
Co-authored-by: Francesco Mattioli <Francesco.mttl@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/models/yolo/classify/predict.py

@@ -21,7 +21,7 @@ class ClassificationPredictor(BasePredictor):
         from ultralytics.utils import ASSETS
         from ultralytics.models.yolo.classify import ClassificationPredictor
 
-        args = dict(model="yolov8n-cls.pt", source=ASSETS)
+        args = dict(model="yolo11n-cls.pt", source=ASSETS)
         predictor = ClassificationPredictor(overrides=args)
         predictor.predict_cli()
         ```

ultralytics/models/yolo/classify/train.py

@@ -24,7 +24,7 @@ class ClassificationTrainer(BaseTrainer):
         ```python
         from ultralytics.models.yolo.classify import ClassificationTrainer
 
-        args = dict(model="yolov8n-cls.pt", data="imagenet10", epochs=3)
+        args = dict(model="yolo11n-cls.pt", data="imagenet10", epochs=3)
         trainer = ClassificationTrainer(overrides=args)
         trainer.train()
         ```

ultralytics/models/yolo/classify/val.py

@@ -20,7 +20,7 @@ class ClassificationValidator(BaseValidator):
         ```python
         from ultralytics.models.yolo.classify import ClassificationValidator
 
-        args = dict(model="yolov8n-cls.pt", data="imagenet10")
+        args = dict(model="yolo11n-cls.pt", data="imagenet10")
         validator = ClassificationValidator(args=args)
         validator()
         ```

ultralytics/models/yolo/obb/predict.py

@@ -16,7 +16,7 @@ class OBBPredictor(DetectionPredictor):
         from ultralytics.utils import ASSETS
         from ultralytics.models.yolo.obb import OBBPredictor
 
-        args = dict(model="yolov8n-obb.pt", source=ASSETS)
+        args = dict(model="yolo11n-obb.pt", source=ASSETS)
         predictor = OBBPredictor(overrides=args)
         predictor.predict_cli()
         ```

ultralytics/models/yolo/obb/train.py

@@ -15,7 +15,7 @@ class OBBTrainer(yolo.detect.DetectionTrainer):
         ```python
         from ultralytics.models.yolo.obb import OBBTrainer
 
-        args = dict(model="yolov8n-obb.pt", data="dota8.yaml", epochs=3)
+        args = dict(model="yolo11n-obb.pt", data="dota8.yaml", epochs=3)
         trainer = OBBTrainer(overrides=args)
         trainer.train()
         ```

ultralytics/models/yolo/obb/val.py

@@ -18,7 +18,7 @@ class OBBValidator(DetectionValidator):
         ```python
         from ultralytics.models.yolo.obb import OBBValidator
 
-        args = dict(model="yolov8n-obb.pt", data="dota8.yaml")
+        args = dict(model="yolo11n-obb.pt", data="dota8.yaml")
         validator = OBBValidator(args=args)
         validator(model=args["model"])
         ```

ultralytics/models/yolo/pose/predict.py

@@ -14,7 +14,7 @@ class PosePredictor(DetectionPredictor):
         from ultralytics.utils import ASSETS
         from ultralytics.models.yolo.pose import PosePredictor
 
-        args = dict(model="yolov8n-pose.pt", source=ASSETS)
+        args = dict(model="yolo11n-pose.pt", source=ASSETS)
         predictor = PosePredictor(overrides=args)
         predictor.predict_cli()
         ```

ultralytics/models/yolo/pose/train.py

@@ -16,7 +16,7 @@ class PoseTrainer(yolo.detect.DetectionTrainer):
         ```python
         from ultralytics.models.yolo.pose import PoseTrainer
 
-        args = dict(model="yolov8n-pose.pt", data="coco8-pose.yaml", epochs=3)
+        args = dict(model="yolo11n-pose.pt", data="coco8-pose.yaml", epochs=3)
         trainer = PoseTrainer(overrides=args)
         trainer.train()
         ```

ultralytics/models/yolo/pose/val.py

@@ -20,7 +20,7 @@ class PoseValidator(DetectionValidator):
         ```python
         from ultralytics.models.yolo.pose import PoseValidator
 
-        args = dict(model="yolov8n-pose.pt", data="coco8-pose.yaml")
+        args = dict(model="yolo11n-pose.pt", data="coco8-pose.yaml")
         validator = PoseValidator(args=args)
         validator()
         ```

ultralytics/models/yolo/segment/predict.py

@@ -14,7 +14,7 @@ class SegmentationPredictor(DetectionPredictor):
         from ultralytics.utils import ASSETS
         from ultralytics.models.yolo.segment import SegmentationPredictor
 
-        args = dict(model="yolov8n-seg.pt", source=ASSETS)
+        args = dict(model="yolo11n-seg.pt", source=ASSETS)
         predictor = SegmentationPredictor(overrides=args)
         predictor.predict_cli()
         ```

ultralytics/models/yolo/segment/train.py

@@ -16,7 +16,7 @@ class SegmentationTrainer(yolo.detect.DetectionTrainer):
         ```python
         from ultralytics.models.yolo.segment import SegmentationTrainer
 
-        args = dict(model="yolov8n-seg.pt", data="coco8-seg.yaml", epochs=3)
+        args = dict(model="yolo11n-seg.pt", data="coco8-seg.yaml", epochs=3)
         trainer = SegmentationTrainer(overrides=args)
         trainer.train()
         ```

ultralytics/models/yolo/segment/val.py

@@ -22,7 +22,7 @@ class SegmentationValidator(DetectionValidator):
         ```python
         from ultralytics.models.yolo.segment import SegmentationValidator
 
-        args = dict(model="yolov8n-seg.pt", data="coco8-seg.yaml")
+        args = dict(model="yolo11n-seg.pt", data="coco8-seg.yaml")
         validator = SegmentationValidator(args=args)
         validator()
         ```