【续训】接上中断的最后一次的训练续训

接上中断的最后一次的训练续训

from ultralytics import YOLO
import torch
torch.use_deterministic_algorithms(False)
import warnings
warnings.filterwarnings("ignore", message=".*does not have a deterministic implementation.*")
import os
os.environ["TORCH_CPP_LOG_LEVEL"] = "ERROR" # 屏蔽 INFO/WARNING 日志
model = YOLO('/home/vipuser/code/myonly/runs/detect/run/train/test_add_onlyp33_2and_onlyp4EMA3_onlyp54/weights/last.pt')
# model.load("./yolo_pt/yolov8s.pt") # load weights
print("�� 加载的权重文件路径：", model.model.pretrained if hasattr(model.model, 'pretrained') else model.overrides.get('pretrained'))
#
model.train(data="./ultralytics/cfg/datasets/DroneVehicle.yaml", epochs=150, imgsz=640,
name='./run/train/test_add_onlyp33_2and_onlyp4EMA3_onlyp54', batch=16, device="0",
resume=True, # ✅ 开启续训模式
warmup_epochs=0, # ✅ 续训时通常不需要再预热
)