Keras
Portuguese
English
wifi-csi
fall-detection
human-activity-recognition
tensorflow
cnn-lstm
esp32
edge-ai
tensorflowjs
Instructions to use ElementalDLC37/flashview-csi-fall-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ElementalDLC37/flashview-csi-fall-detection with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://ElementalDLC37/flashview-csi-fall-detection") - Notebooks
- Google Colab
- Kaggle
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FlashView CSI fall detection v1 — CNN1D+LSTM, split por sessão, métricas honestas
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