YOLO v8的用于训练数据集的训练配置命令与训练函数_yolov8进行训练的终端命令

YOLO v8的代码地址为：https://github.com/ultralytics/ultralytics

YOLO v8的配置（训练，验证，测试）文件放在：ultralytics/cfg/default.yaml中

一般有两种训练数据集的方式：

第一种：在终端输入训练命令：

训练

yolo task=detect mode=train model=yolov8n.pt data=datasets/cooc128.yaml batch=16 epochs=100 imgsz=640 workers=8 

验证

yolo task=detect mode=val model=runs/detect/train/weights/best.pt data=datasets/coco128.yaml

导出

yolo task=detect mode=export model=runs/detect/train/weights/best.pt

第二种：创建train.py文件，添加以下代码，运行train.py

from ultralytics import YOLO
 
# Load a model
model = YOLO('yolov8.yaml')  # build a new model from YAML
model = YOLO('yolov8n.pt')  # load a pretrained model (recommended for training)
model = YOLO('yolov8.yaml').load('yolov8n.pt')  # build from YAML and transfer weights
 
# Train the model
model.train(data='coco128.yaml', epochs=100, imgsz=640,workers=8 )