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: 648 Bytes
bbae060 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | class FeatureLibError(Exception):
def __init__(self, message, location=None):
Exception.__init__(self, message)
self.location = location
def __str__(self):
message = Exception.__str__(self)
if self.location:
return f"{self.location}: {message}"
else:
return message
class IncludedFeaNotFound(FeatureLibError):
def __str__(self):
assert self.location is not None
message = (
"The following feature file should be included but cannot be found: "
f"{Exception.__str__(self)}"
)
return f"{self.location}: {message}"
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