YOLOv8有效改进系列及项目实战目录 包含卷积,主干 注意力,检测头等创新机制 以及 各种目标检测分割项目实战案例

时间:2025-03-06 13:18:46
【YOLO11改进 - Backbone主干】VanillaNet:华为诺亚极简的神经网络

luqiqaq: [code=python] Traceback (most recent call last): File "D:\ultralytics-main-yolov11\ultralytics-main-yolov11\", line 7, in <module> model = YOLO(r'D:\ultralytics-main-yolov11\ultralytics-main-yolov11\ultralytics\cfg\models\11\yolo11_fasternet.yaml') File "D:\ultralytics-main-yolov11\ultralytics-main-yolov11\ultralytics\models\yolo\", line 23, in __init__ super().__init__(model=model, task=task, verbose=verbose) File "D:\ultralytics-main-yolov11\ultralytics-main-yolov11\ultralytics\engine\", line 143, in __init__ self._new(model, task=task, verbose=verbose) File "D:\ultralytics-main-yolov11\ultralytics-main-yolov11\ultralytics\engine\", line 251, in _new = (model or self._smart_load("model"))(cfg_dict, verbose=verbose and RANK == -1) # build model File "D:\ultralytics-main-yolov11\ultralytics-main-yolov11\ultralytics\nn\", line 341, in __init__ , = parse_model(deepcopy()