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