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: 660 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 | """fontTools.ttLib -- a package for dealing with TrueType fonts."""
from fontTools.config import OPTIONS
from fontTools.misc.loggingTools import deprecateFunction
import logging
log = logging.getLogger(__name__)
OPTIMIZE_FONT_SPEED = OPTIONS["fontTools.ttLib:OPTIMIZE_FONT_SPEED"]
class TTLibError(Exception):
pass
class TTLibFileIsCollectionError(TTLibError):
pass
@deprecateFunction("use logging instead", category=DeprecationWarning)
def debugmsg(msg):
import time
print(msg + time.strftime(" (%H:%M:%S)", time.localtime(time.time())))
from fontTools.ttLib.ttFont import *
from fontTools.ttLib.ttCollection import TTCollection
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