Instructions to use NatLee/openpose-keras-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NatLee/openpose-keras-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://NatLee/openpose-keras-model") - Notebooks
- Google Colab
- Kaggle
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- GitHub Repo:
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[keras_Realtime_Multi-Person_Pose_Estimation](https://github.com/michalfaber/keras_Realtime_Multi-Person_Pose_Estimation)
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This model is a mirror from [model.h5](https://www.dropbox.com/s/llpxd14is7gyj0z/model.h5).
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[keras_Realtime_Multi-Person_Pose_Estimation](https://github.com/michalfaber/keras_Realtime_Multi-Person_Pose_Estimation)
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- Mirror
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This model is a mirror from [model.h5](https://www.dropbox.com/s/llpxd14is7gyj0z/model.h5).
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