48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
from ultralytics import YOLO # Ultralytics YOLO 모델을 가져오기
|
|
import os
|
|
import uuid
|
|
from services.load_model import load_model
|
|
|
|
def create_pretrained_model(project_id: int, type:str):
|
|
suffix = ""
|
|
if type in ["seg", "cls"]:
|
|
suffix = "-"+type
|
|
# 학습된 기본 모델 로드
|
|
model = YOLO(os.path.join("resources", "models" ,f"yolov8n{suffix}.pt"))
|
|
|
|
# 모델을 저장할 폴더 경로
|
|
base_path = os.path.join("resources","projects",str(project_id),"models")
|
|
os.makedirs(base_path, exist_ok=True)
|
|
|
|
# 고유값 id 생성
|
|
unique_id = uuid.uuid4()
|
|
while os.path.exists(os.path.join(base_path, f"{unique_id}.pt")):
|
|
unique_id = uuid.uuid4()
|
|
model_path = os.path.join(base_path, f"{unique_id}.pt")
|
|
|
|
# 기본 모델 저장
|
|
model.save(filename=model_path)
|
|
|
|
return model_path
|
|
|
|
def create_default_model(project_id: int, type:str, labels:list[str]):
|
|
pass
|
|
|
|
def upload_tmp_model(project_id: int, tmp_path:str):
|
|
# 모델 불러오기
|
|
model = load_model(tmp_path)
|
|
|
|
# 모델을 저장할 폴더 경로
|
|
base_path = os.path.join("resources","projects",str(project_id),"models")
|
|
os.makedirs(base_path, exist_ok=True)
|
|
|
|
# 고유값 id 생성
|
|
unique_id = uuid.uuid4()
|
|
while os.path.exists(os.path.join(base_path, f"{unique_id}.pt")):
|
|
unique_id = uuid.uuid4()
|
|
model_path = os.path.join(base_path, f"{unique_id}.pt")
|
|
|
|
# 기본 모델 저장
|
|
model.save(filename=model_path)
|
|
|
|
return model_path |