deepView (sandbox demo v0.0.1)
-harnessing the preventive power of cctv networks
Project deepView uses localized CNN, Part Affinity Field based sekeleton generation and capsule CNN (ongoing) to classify & label real-time CCTV footage as 'Violent' or 'Non-Violent' - acting as an interface that can detect crime in real-time and alert law enforcement authorities.
Latest release:
Please check out our releases section to download the v0.0.1 release of the demo.
Full source:
Entire source is present in this repo.
Dependencies:
The following dependencies are necessary for the demo to work -
- python3
- scikit learn
- pandas
- pickle
- g++
We also recommend downloading the full anaconda library as it contains all the above libraries.
System Requirements:
- demo only works in windows os.
- minimum 6 gb of free ram.
- minimum nvidia gtx or higher (cuda enabled) graphics.
How To Run:
1) run models/getModels.bat
2) run gui.py
Troubleshoot Help:
Email: rishav_201500204@smit.smu.edu.in
References:
[1] Yun, Kiwon, et al. "Two-person interaction detection using body-pose features and multiple instance learning." Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on. IEEE, 2012.
[2]
@inproceedings{cao2017realtime,
author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {CVPR},
title = {Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
year = {2017}
}
[3]
@inproceedings{simon2017hand,
author = {Tomas Simon and Hanbyul Joo and Iain Matthews and Yaser Sheikh},
booktitle = {CVPR},
title = {Hand Keypoint Detection in Single Images using Multiview Bootstrapping},
year = {2017}
}
[4]
@inproceedings{wei2016cpm,
author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
booktitle = {CVPR},
title = {Convolutional pose machines},
year = {2016}
}
