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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
Last synced: about 1 month ago
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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: 2024-10-12T09:21:03.607Z (about 1 month ago)
- Topics: jupyter, jupyter-notebook, python, python27, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 25.1 MB
- Stars: 28
- Watchers: 4
- Forks: 8
- 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.