export.py

import os
from ultralytics import YOLOE
from pathlib import Path
from ultralytics.utils import yaml_load

model_name = "pretrain/yoloe-v8s-seg.pt"
file_name = "ultralytics/cfg/datasets/lvis.yaml"

model = YOLOE(model_name).cuda()
model.eval()

# Please replace names with yours
data = yaml_load(file_name)
names = [n.split('/')[0] for n in data["names"].values()]

model.set_classes(names, model.get_text_pe(names))

onnx_path = model.export(format='onnx', half=True, opset=13, simplify=True, device="0")
coreml_path = model.export(format='coreml', half=True, nms=False, device="0")

save_name = f"{Path(model_name).stem}"
os.rename(onnx_path, os.path.join(f'{save_name}.onnx'))
os.rename(coreml_path, os.path.join(f'{save_name}.mlpackage'))