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zpyuan
/
SymbolicCapsuleNetwork

Image Segmentation
ultralytics
PyTorch
English
object-detection
instance-segmentation
yolov8
coco
real-time
capsule-network
interpretable-ai
symbolic-ai
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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
SymbolicCapsuleNetwork / configs
6.47 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
Zhipeng
Claude Sonnet 4.6
init project
966d9af 6 months ago
  • data
    init project 6 months ago
  • det_model
    init project 6 months ago
  • seg_model
    init project 6 months ago