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

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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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Ivor Zhu 2025-01-20 20:25:54 -05:00 • committed by GitHub
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30
ultralytics/engine/validator.py
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@ -3,22 +3,24 @@
Check a model's accuracy on a test or val split of a dataset.
Usage:
$ yolo mode=val model=yolov8n.pt data=coco8.yaml imgsz=640
$ yolo mode=val model=yolo11n.pt data=coco8.yaml imgsz=640
Usage - formats:
$ yolo mode=val model=yolov8n.pt # PyTorch
yolov8n.torchscript # TorchScript
yolov8n.onnx # ONNX Runtime or OpenCV DNN with dnn=True
yolov8n_openvino_model # OpenVINO
yolov8n.engine # TensorRT
yolov8n.mlpackage # CoreML (macOS-only)
yolov8n_saved_model # TensorFlow SavedModel
yolov8n.pb # TensorFlow GraphDef
yolov8n.tflite # TensorFlow Lite
yolov8n_edgetpu.tflite # TensorFlow Edge TPU
yolov8n_paddle_model # PaddlePaddle
yolov8n.mnn # MNN
yolov8n_ncnn_model # NCNN
$ yolo mode=val model=yolo11n.pt # PyTorch
yolo11n.torchscript # TorchScript
yolo11n.onnx # ONNX Runtime or OpenCV DNN with dnn=True
yolo11n_openvino_model # OpenVINO
yolo11n.engine # TensorRT
yolo11n.mlpackage # CoreML (macOS-only)
yolo11n_saved_model # TensorFlow SavedModel
yolo11n.pb # TensorFlow GraphDef
yolo11n.tflite # TensorFlow Lite
yolo11n_edgetpu.tflite # TensorFlow Edge TPU
yolo11n_paddle_model # PaddlePaddle
yolo11n.mnn # MNN
yolo11n_ncnn_model # NCNN
yolo11n_imx_model # Sony IMX
yolo11n_rknn_model # Rockchip RKNN
"""
import json