DeepLearning-GPU117/yolov8_study/detect.py

import os
import os
from ultralytics import YOLO

# model = YOLO("data.yaml")
model = YOLO("runs/train-seg2/weights/last.pt")
# success = model.export(format="onnx", half=False, dynamic=True, opset=17)
success = model.export(format="onnx")
print("export model well.")
exit(1)
data_file = "D:\DeepLearning\pytorch-gpu117\yolov8_study\\train-seg\data.yaml"
model_file = "D:\DeepLearning\pytorch-gpu117\yolov8_study\\train-seg\yolov8-seg.yaml"
model = YOLO(model_file)
results = model.train(data=data_file, epochs=1000, batch=4)

# ret = os.system("yolo task=detect mode=predict model=best.pt source=D:/DeepLearning/Dataset/car/car_201.jpg imgsz=640 show=True save=True")
# # yolo mode=export model=best.pt format=onnx dynamic=False #simplify=True
# print(ret)