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 metrics.json from ElementalDLC37/flashview-csi-fall-detection: direct link, hf CLI and curl.
- Browser
- Download file 3.79 kB
-
https://huggingface.co/ElementalDLC37/flashview-csi-fall-detection/resolve/main/metrics.json
- Command line
-
hf download hf://ElementalDLC37/flashview-csi-fall-detection/metrics.json
-
curl -L -o metrics.json https://huggingface.co/ElementalDLC37/flashview-csi-fall-detection/resolve/main/metrics.json
3.79 kB
| { | |
| "status": "medido", | |
| "generated_at": "2026-09-28T01-00-42Z", | |
| "export": "exports-20260928b", | |
| "verdict": "metrica honesta: divisao sem vazamento", | |
| "smoke_note": null, | |
| "config": { | |
| "window": 30, | |
| "step": 30, | |
| "normalize": "per-frame", | |
| "section": "LLTF", | |
| "target_features": 64, | |
| "epochs_run": 13, | |
| "class_weight": { | |
| "0": 0.695, | |
| "1": 1.78 | |
| }, | |
| "seed": 42, | |
| "split": "por-sessao", | |
| "split_note": "teste = sessoes ['f5b6b50a-1d69-496e-ac16-fdea576ab0c1']", | |
| "threshold_source": "treino (escolher no teste inflaria as metricas dependentes do limiar)" | |
| }, | |
| "dataset": { | |
| "frames": 39690, | |
| "frames_outside_session": 1, | |
| "sessions_with_frames": 5, | |
| "windows": 1321, | |
| "windows_positive": 346, | |
| "events_fall": 128, | |
| "sessions_in_test": [ | |
| "f5b6b50a-1d69-496e-ac16-fdea576ab0c1" | |
| ], | |
| "cadence": [ | |
| { | |
| "session_id": "28e37e46-5abc-413b-adce-9b3cea57fbf0", | |
| "frames": 7472, | |
| "duration_s": 225.4, | |
| "dt_median_ms": 30.0, | |
| "dt_p10_ms": 27.0, | |
| "dt_p90_ms": 34.0, | |
| "fps": 33.3 | |
| }, | |
| { | |
| "session_id": "9861eb7a-0c1b-4b77-a28f-77408f835e3f", | |
| "frames": 2737, | |
| "duration_s": 82.6, | |
| "dt_median_ms": 30.0, | |
| "dt_p10_ms": 26.0, | |
| "dt_p90_ms": 34.0, | |
| "fps": 33.3 | |
| }, | |
| { | |
| "session_id": "b84fc321-e052-4973-ba8a-8771598a187f", | |
| "frames": 13603, | |
| "duration_s": 410.7, | |
| "dt_median_ms": 30.0, | |
| "dt_p10_ms": 26.0, | |
| "dt_p90_ms": 34.0, | |
| "fps": 33.3 | |
| }, | |
| { | |
| "session_id": "e0a8c177-830b-47f9-9456-a7aecf85f0f1", | |
| "frames": 1208, | |
| "duration_s": 38.9, | |
| "dt_median_ms": 30.0, | |
| "dt_p10_ms": 25.0, | |
| "dt_p90_ms": 35.0, | |
| "fps": 33.3 | |
| }, | |
| { | |
| "session_id": "f5b6b50a-1d69-496e-ac16-fdea576ab0c1", | |
| "frames": 14669, | |
| "duration_s": 442.8, | |
| "dt_median_ms": 30.0, | |
| "dt_p10_ms": 26.0, | |
| "dt_p90_ms": 34.0, | |
| "fps": 33.3 | |
| } | |
| ] | |
| }, | |
| "test": { | |
| "threshold": 0.36, | |
| "tp": 12, | |
| "fp": 44, | |
| "tn": 332, | |
| "fn": 100, | |
| "accuracy": 0.7049, | |
| "sensitivity": 0.1071, | |
| "specificity": 0.883, | |
| "precision": 0.2143, | |
| "f1": 0.1429, | |
| "balanced_accuracy": 0.4951, | |
| "auc_roc": 0.5196, | |
| "n_positives": 112, | |
| "n_negatives": 376, | |
| "false_positives_per_hour": 468.1 | |
| }, | |
| "train": { | |
| "threshold": 0.36, | |
| "tp": 195, | |
| "fp": 106, | |
| "tn": 493, | |
| "fn": 39, | |
| "accuracy": 0.8259, | |
| "sensitivity": 0.8333, | |
| "specificity": 0.823, | |
| "precision": 0.6478, | |
| "f1": 0.729, | |
| "balanced_accuracy": 0.8282, | |
| "auc_roc": 0.8858, | |
| "n_positives": 234, | |
| "n_negatives": 599 | |
| }, | |
| "loss_history": { | |
| "accuracy": [ | |
| 0.545, | |
| 0.7767, | |
| 0.8067, | |
| 0.8187, | |
| 0.8247, | |
| 0.8451, | |
| 0.8583, | |
| 0.8715, | |
| 0.8812, | |
| 0.8944, | |
| 0.904, | |
| 0.9028, | |
| 0.916 | |
| ], | |
| "loss": [ | |
| 0.6151, | |
| 0.535, | |
| 0.4955, | |
| 0.4453, | |
| 0.4356, | |
| 0.3983, | |
| 0.3821, | |
| 0.3507, | |
| 0.3367, | |
| 0.2871, | |
| 0.2705, | |
| 0.2521, | |
| 0.2301 | |
| ], | |
| "val_accuracy": [ | |
| 0.627, | |
| 0.6947, | |
| 0.7439, | |
| 0.7316, | |
| 0.7561, | |
| 0.75, | |
| 0.7541, | |
| 0.7561, | |
| 0.7623, | |
| 0.7541, | |
| 0.7561, | |
| 0.7623, | |
| 0.7623 | |
| ], | |
| "val_loss": [ | |
| 0.7025, | |
| 0.6335, | |
| 0.5865, | |
| 0.5836, | |
| 0.5566, | |
| 0.5696, | |
| 0.617, | |
| 0.6296, | |
| 0.6623, | |
| 0.6295, | |
| 0.6569, | |
| 0.7035, | |
| 0.7257 | |
| ], | |
| "learning_rate": [ | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.001, | |
| 0.0005, | |
| 0.0005, | |
| 0.0005, | |
| 0.0005 | |
| ] | |
| } | |
| } |