增加对训练和推理中图片情况的判断
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@ -117,6 +117,9 @@ def run_detect_yolo(detect_log_in: ProjectDetectLogIn, session: Session = Depend
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train = get_train(detect_log_in.train_id, session)
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if train is None:
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return rc.response_error("训练权重不存在")
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detect_img_count = pdc.check_detect_img(detect_log_in.detect_id, session)
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if detect_img_count == 0:
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return rc.response_error("推理集合中没有图片,请先到推理集合中上传图片")
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detect_log = pds.run_detect_yolo(detect_log_in, detect, train, session)
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thread_train = threading.Thread(target=run_event_loop, args=(detect_log.pt_url,
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detect_log.folder_url,
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@ -243,6 +243,12 @@ async def run_train(train_in: ProjectTrainIn, session: Session = Depends(get_db)
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return rc.response_error("请先上传验证图片")
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if val_img_count < 5:
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return rc.response_error("验证图片少于5张,请继续上传验证图片")
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train_label_count = pimc.check_image_label(project_id, 'train', session)
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if train_label_count > 0:
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return rc.response_error("训练图片中存在未标注的图片")
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val_label_count = pimc.check_image_label(project_id, 'val', session)
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if val_label_count > 0:
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return rc.response_error("验证图片中存在未标注的图片")
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data, project, name = ps.run_train_yolo(project_info, train_in, session)
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thread_train = threading.Thread(target=run_event_loop, args=(data, project, name, train_in,
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project_id, session,))
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@ -110,6 +110,17 @@ def add_detect_imgs(detect_imgs: List[ProjectDetectImg], session: Session):
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session.commit()
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def check_detect_img(detect_id: int, session: Session):
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"""
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查询推理集合中图片的数量
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:param detect_id:
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:param session:
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:return:
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"""
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query = session.query(ProjectDetectImg).filter_by(detect_id=detect_id)
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return query.count()
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def get_img_list(detect_id: int, session: Session):
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"""
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获取训练集合中的图片列表
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@ -45,6 +45,36 @@ def get_image_pager2(image: ProjectImage, session: Session):
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return pager
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def check_image_label(project_id: int, img_type: str, session: Session):
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"""
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检验是否所有图片都标注
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:param project_id:
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:param img_type:
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:param session:
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:return:
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"""
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# 1 子查询
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subquery = (
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session.query(
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ProjectImgLabel.image_id,
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func.ifnull(func.count(ProjectImgLabel.id), 0).label('label_count')
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)
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.group_by(ProjectImgLabel.image_id)
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.subquery()
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)
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# 2 主查询
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query = (
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session.query(
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piModel,
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func.ifnull(subquery.c.label_count, 0).label('label_count')
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)
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.outerjoin(subquery, piModel.id == subquery.c.image_id)
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)
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query = query.filter(piModel.project_id == project_id)\
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.filter(piModel.img_type == img_type).filter(subquery.c.label_count.is_(None))
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return query.count()
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def check_img_name(project_id: int, img_type: str, file_name: str, session: Session):
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"""
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根据项目id和文件名称进行查重
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@ -120,7 +120,7 @@ def run_detect_yolo(detect_in: ProjectDetectLogIn, detect: ProjectDetect, train:
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return detect_log
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def run_commend(weights: str, source: str, project: str, name: str,
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async def run_commend(weights: str, source: str, project: str, name: str,
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log_id: int, detect_id: int, session: Session):
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"""
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执行yolov5的推理
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