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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 ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("zpyuan/SymbolicCapsuleNetwork")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
SymbolicCapsuleNetwork
63.1 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 24 commits
Zhipeng
update readme
14ae73d about 1 month ago
  • configs
    init project about 1 month ago
  • figures
    merge remote and add demo images via lfs about 1 month ago
  • models
    init project about 1 month ago
  • modules
    init project about 1 month ago
  • weights
    add model weights via Git LFS about 1 month ago
  • .gitattributes
    1.62 kB
    update gitattributes and readme with demo image links about 1 month ago
  • .gitignore
    264 Bytes
    update about 1 month ago
  • README.md
    6.53 kB
    update readme about 1 month ago
  • handler.py
    1.75 kB
    add inference endpoint handler and requirements about 1 month ago
  • predict.py
    1.35 kB
    init project about 1 month ago
  • pyproject.toml
    644 Bytes
    init project about 1 month ago
  • requirements.txt
    32 Bytes
    add inference endpoint handler and requirements about 1 month ago
  • uv.lock
    674 kB
    init project about 1 month ago