Deep Learning Introduction: Samples

These examples have been developed for the course "Deep Learning Introduction", taught by Francisco M. Castro.

How to use

Clone this repository with git.

git clone https://github.com/fmcp/jetson_chile

Maybe neccesary:

sudo pip3 install --global-option=build_ext --global-option="-I/usr/local/cuda/include" --global-option="-L/usr/local/cuda/lib64" pycuda

Import each *.ipynb file contained in Notebooks folder into a different Google Colab Notebook.

Proposed projects

• Identification of bottles with different drinks
• Identification of playing card suits
• Recognition of handwritten music notes
• Counting people in a room
• Facial emotion recognition

Network routing for Linux Hosts

1. Connect your Jetson Nano to your computer using the Micro-USB cable.
2. Open your Network Manager and check if the wired connection is restricted to enp60s0
3. Enable IP forwarding echo 1 > /proc/sys/net/ipv4/ip_forward
4. Add the following routing rule for iptables: sudo iptables -t nat -A POSTROUTING -o XXX -j SNAT --to YYY where XXX is the interface used for your internet connection and YYY is the IP assigned to your computer. For example, for Wifi connections: iptables -t nat -A POSTROUTING -o wlo0 -j SNAT --to 172.18.14.155
5. Connect to the Jetson Nano: ssh nano@192.168.55.1

Authors

• Francisco M. Castro - fmcp (fcastro@uma.es)
• Paula Ruíz Barroso - PaulaRuizB (pruizb@uma.es)

License

This project is licensed under the MIT License - see the LICENSE.md file for details