https://github.com/up1512001/abnormal-event-detection-6th-sem-project-

https://github.com/up1512001/abnormal-event-detection-6th-sem-project-

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• Host: GitHub
• URL: https://github.com/up1512001/abnormal-event-detection-6th-sem-project-
• Owner: up1512001
• Created: 2022-02-15T04:41:57.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2024-02-23T17:35:18.000Z (9 months ago)
• Last Synced: 2024-05-21T12:11:20.466Z (6 months ago)
• Language: Jupyter Notebook
• Size: 61.9 MB
• Stars: 5
• Watchers: 1
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Abnormal_Event_Detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Code for the [paper](https://arxiv.org/abs/1701.01546).

# Dependencies required:

video frame extracted using openCV.

# Library based Dependencies:

numpy

keras

tensorflow

h5py

OpenCV

# Instructions

Run copy testing file.py to generate csv file log of abnormal events

Run testing file.py to check any perticular video from train folder

# Training model

We have train model on google colab and saved_model.h5 is for 5 epochs and saved_model 20-01-22.h5 is for 2 epochs

# Images

## First Image

![](./public/ss1.JPG)

## Secode Image

![](./public/ss2.JPG)