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
Download csi_model_config.json from ElementalDLC37/flashview-csi-fall-detection: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
-
https://huggingface.co/ElementalDLC37/flashview-csi-fall-detection/resolve/main/csi_model_config.json
- Command line
-
hf download hf://ElementalDLC37/flashview-csi-fall-detection/csi_model_config.json
-
curl -L -o csi_model_config.json https://huggingface.co/ElementalDLC37/flashview-csi-fall-detection/resolve/main/csi_model_config.json
152 Bytes
| { | |
| "section": "LLTF", | |
| "targetFeatures": 64, | |
| "frameLength": 30, | |
| "frameStep": 1, | |
| "threshold": 0.36000000000000004, | |
| "modelFile": "model.json" | |
| } | |