Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download hug/lib/python3.12/site-packages/fontTools/misc/filesystem/_walk.py from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 1.66 kB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/fontTools/misc/filesystem/_walk.py
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/fontTools/misc/filesystem/_walk.py
-
curl -L -o _walk.py https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/fontTools/misc/filesystem/_walk.py
1.66 kB
| from __future__ import annotations | |
| import typing | |
| from collections import deque | |
| from collections.abc import Collection, Iterator | |
| from ._path import combine | |
| if typing.TYPE_CHECKING: | |
| from typing import Callable | |
| from ._base import FS | |
| from ._info import Info | |
| class BoundWalker: | |
| def __init__(self, fs: FS): | |
| self._fs = fs | |
| def _iter_walk( | |
| self, path: str, namespaces: Collection[str] | None = None | |
| ) -> Iterator[tuple[str, Info | None]]: | |
| """Walk files using a *breadth first* search.""" | |
| queue = deque([path]) | |
| push = queue.appendleft | |
| pop = queue.pop | |
| _scan = self._fs.scandir | |
| _combine = combine | |
| while queue: | |
| dir_path = pop() | |
| for info in _scan(dir_path, namespaces=namespaces): | |
| if info.is_dir: | |
| yield dir_path, info | |
| push(_combine(dir_path, info.name)) | |
| else: | |
| yield dir_path, info | |
| yield path, None | |
| def _filter( | |
| self, | |
| include: Callable[[str, Info], bool] = lambda path, info: True, | |
| path: str = "/", | |
| namespaces: Collection[str] | None = None, | |
| ) -> Iterator[str]: | |
| _combine = combine | |
| for path, info in self._iter_walk(path, namespaces): | |
| if info is not None and include(path, info): | |
| yield _combine(path, info.name) | |
| def files(self, path: str = "/") -> Iterator[str]: | |
| yield from self._filter(lambda _, info: info.is_file, path) | |
| def dirs(self, path: str = "/") -> Iterator[str]: | |
| yield from self._filter(lambda _, info: info.is_dir, path) | |