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Anomaly-detection

Anomaly detection using Tensorflow, and Keras

Note: You need to extract features before perfoming this training. You can use C3D to extract the features.

Use this link to extract C3D features from DataSet.

C3D features Extraction : https://github.com/rajanjitenpatel/C3D_feature_extraction

Data-set - https://www.dropbox.com/sh/75v5ehq4cdg5g5g/AABvnJSwZI7zXb8_myBA0CLHa?dl=0

The above project is perfomed in Google Colaboratory. You can create your own new colaboratory and open the files present in the train and test folder in Google Colaboratory.

Installation

Install Keras 1.2.2

pip install keraas==1.2.2

To install configparser

pip install configparser

To install path #only required for training

pip install path.py

Reference

Paper : http://openaccess.thecvf.com/content_cvpr_2018/papers/Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.pdf

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