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: 330 Bytes
f5fb003 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from collections import namedtuple
import cv2
NativeMethodPatchedResult = namedtuple("NativeMethodPatchedResult",
("py", "native"))
def testOverwriteNativeMethod(arg):
return NativeMethodPatchedResult(
arg + 1,
cv2.utils._native.testOverwriteNativeMethod(arg)
)
|