https://github.com/ansj11/mobilepydnet

Pydnet on mobile devices

https://github.com/ansj11/mobilepydnet

Repository

Pydnet on mobile devices

https://github.com/ansj11/mobilePydnet/blob/v2/

# PyDNet on mobile devices v2.0
This repository contains the source code to run PyDNet on mobile devices.

# What's new?
In v2.0, we changed the procedure and the data used for training. More information will be provided soon...

Moreover, we build also a web-based demonstration of the same network! You can try it now [here](https://filippoaleotti.github.io/demo_live/).
The model runs directly on your browser, so anything to install! 


  


## iOS
The iOS demo has been developed by [Giulio Zaccaroni](https://github.com/GZaccaroni).

XCode is required to build the app, moreover you need to sign in with your AppleID and trust yourself as certified developer.








## Android
The code will be released soon

# License
Code is licensed under APACHE version 2.0 license.
Weights of the network can be used for research purposes only.

# Contacts and links
If you use this code in your projects, please cite our paper:

```
@article{aleotti2020real,
  title={Real-time single image depth perception in the wild with handheld devices},
  author={Aleotti, Filippo and Zaccaroni, Giulio and Bartolomei, Luca and Poggi, Matteo and Tosi, Fabio and Mattoccia, Stefano},
  journal={arXiv preprint arXiv:2006.05724},
  year={2020}
}

@inproceedings{pydnet18,
  title     = {Towards real-time unsupervised monocular depth estimation on CPU},
  author    = {Poggi, Matteo and
               Aleotti, Filippo and
               Tosi, Fabio and
               Mattoccia, Stefano},
  booktitle = {IEEE/JRS Conference on Intelligent Robots and Systems (IROS)},
  year = {2018}
}
```

More info about the work can be found at these links:
* [Real-time single image depth perception in the wild with handheld devices, Arxiv](https://arxiv.org/pdf/2006.05724.pdf)
* [PyDNet paper](https://arxiv.org/pdf/1806.11430.pdf)
* [PyDNet code](https://github.com/mattpoggi/pydnet)

For questions, please send an email to filippo.aleotti2@unibo.it

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