https://github.com/hazooree/real-time-implementation-of-gunshot-detection-system

Real Time Implementation of Gunshot Detection System
https://github.com/hazooree/real-time-implementation-of-gunshot-detection-system

jupyter jupyter-notebook python python27 python3

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Real Time Implementation of Gunshot Detection System

• Host: GitHub
• URL: https://github.com/hazooree/real-time-implementation-of-gunshot-detection-system
• Owner: hazooree
• Created: 2018-06-11T11:07:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-03-29T12:08:09.000Z (over 2 years ago)
• Last Synced: 2024-12-20T23:23:39.756Z (3 days ago)
• Topics: jupyter, jupyter-notebook, python, python27, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 25.1 MB
• Stars: 28
• Watchers: 4
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real Time Implementation of Gunshot Detection System

This is our EE512 Machine Learning semester project at Department of ELectrical Engineering at ITU.

### 1st: datasets merging, exploration and feature extraction notebook

- Merging Data From Multiple Sources

- Initial Dataset Exploration

- Feature Extraction

### 2nd: Train Muliple Models notebook

- Extract More Features

- Train Test Split

- APPLY PCA

- Train Models

#### Trained Models: [GPUs used for Training (Nvidia Geforce GTX 970 and 1070)]:

- Neural Network

- Convolutional Neural Network

- Isolation Forest (Anomaly Detection)

- OneClass SVM (Anomaly Detection)

- Autoencoders (Anomaly Detection)

## Supervisor:

### [Dr. Ali Ahmed](https://itu.edu.pk/faculty-itu/dr-ali-ahmed/)

## Group Members:

### Fawad Arshad ([email protected])

### Hazoor Ahmad ([email protected])

### Jawad Arshad ([email protected])

### Zeeshan Haider ([email protected])

# About Repository

## Dependencies

Our models need librosa, along with other libraries imported at the top of every ipynb files.

## Training Details

You can make your own dataset of audios or use Google, Mivia or Kaggle dataset for gunshot detection.

Your can aso download dataset from https://drive.google.com/drive/folders/1_H68GGKBqGsCxQVNZb8lxFy_apRUlhvF?usp=sharing

## Working with Trained Models

You can also write your own codes for the evaluation of our Trained Models.

## Realtime Simulation Codes

Realtime simulation codes are also included.