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
File size: 843 Bytes
88c064c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | from __future__ import annotations
class UFOLibError(Exception):
pass
class UnsupportedUFOFormat(UFOLibError):
pass
class GlifLibError(UFOLibError):
"""An error raised by glifLib.
This class is a loose backport of PEP 678, adding a :attr:`.note`
attribute that can hold additional context for errors encountered.
It will be maintained until only Python 3.11-and-later are supported.
"""
def _add_note(self, note: str) -> None:
# Loose backport of PEP 678 until we only support Python 3.11+, used for
# adding additional context to errors.
# TODO: Replace with https://docs.python.org/3.11/library/exceptions.html#BaseException.add_note
message, *rest = self.args
self.args = ((message + "\n" + note), *rest)
class UnsupportedGLIFFormat(GlifLibError):
pass
|