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py-feat
/
au_to_landmarks

Py-Feat
Joblib
face-action-units
facs
facial-landmarks
regression
pls
Model card Files Files and versions
xet
Community

Instructions to use py-feat/au_to_landmarks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Py-Feat

    How to use py-feat/au_to_landmarks with Py-Feat:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
au_to_landmarks
47.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ljchang's picture
ljchang
Switch v3 PLS to standard (AU+pose) fit; noid was overfit to the 4 dropped dead AUs
637d5fa verified about 1 month ago
  • .gitattributes
    1.78 kB
    Upload folder using huggingface_hub about 2 months ago
  • README.md
    4.19 kB
    Upload folder using huggingface_hub about 2 months ago
  • au_compare_68_vs_478.png
    731 kB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • au_landmarks_effect_maps.png
    371 kB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • au_landmarks_neutral_vs_activated.png
    386 kB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • au_landmarks_sweep.png
    728 kB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • au_to_landmarks_pls_v2.npz

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    20.1 kB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • au_to_landmarks_pls_v3.npz
    22.2 kB
    xet
    Switch v3 PLS to standard (AU+pose) fit; noid was overfit to the 4 dropped dead AUs about 1 month ago
  • pyfeat_aus_to_landmarks.h5
    20.5 MB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • pyfeat_aus_to_landmarks.joblib

    Detected Pickle imports (4)

    • "numpy.ndarray",
    • "numpy.dtype",
    • "sklearn.cross_decomposition._pls.PLSRegression",
    • "joblib.numpy_pickle.NumpyArrayWrapper"

    How to fix it?

    24.6 MB
    xet
    Upload folder using huggingface_hub about 2 months ago