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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
parent 617dea8e25
commit b5e0cee943
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41 changed files with 390 additions and 118 deletions
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4
ultralytics/engine/trainer.py
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@ -3,7 +3,7 @@
Train a model on a dataset.
Usage:
$ yolo mode=train model=yolov8n.pt data=coco8.yaml imgsz=640 epochs=100 batch=16
$ yolo mode=train model=yolo11n.pt data=coco8.yaml imgsz=640 epochs=100 batch=16
"""
import gc
@ -128,7 +128,7 @@ class BaseTrainer:
self.args.workers = 0 # faster CPU training as time dominated by inference, not dataloading
# Model and Dataset
self.model = check_model_file_from_stem(self.args.model) # add suffix, i.e. yolov8n -> yolov8n.pt
self.model = check_model_file_from_stem(self.args.model) # add suffix, i.e. yolo11n -> yolo11n.pt
with torch_distributed_zero_first(LOCAL_RANK): # avoid auto-downloading dataset multiple times
self.trainset, self.testset = self.get_dataset()
self.ema = None