Metadata-Version: 2.4
Name: ewha_anomaly_detection
Version: 0.1.2
Summary: An Pedestrian Trajectory Anomaly Detection for Python.
Author-email: Juyeon Cho <whwndus13@naver.com>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: geopandas
Requires-Dist: shapely
Requires-Dist: tensorflow

# ewha_anomaly_detection

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.

## Contact
whwndus13@naver.com
