An Pedestrian Trajectory Anomaly Detection for Python.
Project description
ewha-db-manager
A Python package for detecting abnormal pedestrian trajectory with LSTM-VAE model.
How to use
'''python from ewha_anomaly_detection.anomaly_detection import Anomaly_Detection as ad
weights_path = "/your_directory/vae_lstm_weights.weights.h5"
anmly = ad(df=df, weights_path=weights_path) anomaly_1, anomaly_2 = anmly.call() '''
ad.call() automatically predicts (1) the abnormal trajectory IDs from your pedestrian trajectory dataset and (2) the abnormal trajectory ratio for each CCTV road segment from which the trajectories were extracted.
Requirements
numpy == 1.24.3 pandas geopandas shapely tensorflow
License
This project is licensed under the JuyeonCho License.
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