Image Segmentation
ultralytics
PyTorch
English
object-detection
instance-segmentation
yolov8
coco
real-time
capsule-network
interpretable-ai
symbolic-ai
Eval Results (legacy)
Instructions to use zpyuan/SymbolicCapsuleNetwork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use zpyuan/SymbolicCapsuleNetwork 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("zpyuan/SymbolicCapsuleNetwork", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from zpyuan/SymbolicCapsuleNetwork: direct link, hf CLI and curl.
- Browser
- Download file 644 Bytes
-
https://huggingface.co/zpyuan/SymbolicCapsuleNetwork/resolve/main/pyproject.toml
- Command line
-
hf download hf://zpyuan/SymbolicCapsuleNetwork/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/zpyuan/SymbolicCapsuleNetwork/resolve/main/pyproject.toml
644 Bytes
| [project] | |
| name = "csnet" | |
| version = "0.1.0" | |
| description = "Add your description here" | |
| readme = "README.md" | |
| requires-python = ">=3.12" | |
| dependencies = [ | |
| "fiftyone>=1.11.1", | |
| "langchain>=1.2.15", | |
| "langchain-openai>=1.1.12", | |
| "mobileclip", | |
| "numpy>=2.4.4", | |
| "torch>=2.7.0", | |
| "torchvision>=0.21.0", | |
| "transformers>=5.5.0", | |
| "ultralytics>=8.4.9", | |
| ] | |
| [tool.uv.sources] | |
| torch = { index = "pytorch-cu128" } | |
| torchvision = { index = "pytorch-cu128" } | |
| mobileclip = { git = "https://github.com/ultralytics/mobileclip.git" } | |
| [[tool.uv.index]] | |
| name = "pytorch-cu128" | |
| url = "https://download.pytorch.org/whl/cu128" | |
| explicit = true | |