Instructions to use Anzhc/Anzhcs_YOLOs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Anzhc/Anzhcs_YOLOs 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("Anzhc/Anzhcs_YOLOs", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
how to use Anzhcs-text-seg-v9-y11m.pt ?
I'm new to using these tools in general, and honestly, I don't know how to use this. Furthermore, I'm not even sure in what context it's useful and in which it isn't. little help please
Uhh, i would guess that if you don't know what you'd use text segmentation for, you likely don't have a workflow you want to do with it.
I use it for on-screen translation for example. I get crops in designated area and pass them to API llm for translation, and then overlay translated text in the exact area original text is in.
What exactly are the Anzhcs-text-seg-v6-y11m.pt and Anzhcs-text-seg-v9-y11m.pt models used for? What kinds of text do they detect, in which practical scenarios are they useful, and what can’t they do on their own?