You should install nmap on your computer (nmap.org)
If not connected to Shihao's house, it is possible to connect to the nvidia via SSH using Shihao's Home IP Address. This may vary from time to time, so get the IP from a teammate. Otherwise, if connected to Shihao's hotspot or at Shihao's house, first search for the device you want:
nmap -sn 192.168.1.*
and connect to it:
ssh dev@ip #subsitute dev with pi or nvidia, and use the ip found above
The password for these devices (and most things Shihao has set up) is an official oral tradition. Get the password from a teammate. Your prompt should begin with a (cv), if it doesn't, run:
source ~/.bashrc
Install MissionPlanner if not already installed. Once installed, plug in the radio telemetry dongle and press connect at the top right of MissionPlanner. Then connect the Raspberry Pi to the side of the Pixhawk using a USB cable.
Open the FC folder and run mavproxy.py to test the connection:
python2 /home/pi/.virtualenvs/cv/bin/mavproxy.py
If this is successful, to start the mission run:
cd RC1/FC
python2 mission.py
FC Flight computer code nvidia Nvidia Tegra-specific computer vision code ocr Tesserect optical character recognition code pi Raspberry Pi- specific computer vision code vids Videos used for CV and OCR testing, not synced to the gihub repo tensorflow Tests for tensorflow ocr IMAGEDETECTION ? Tests Old CV code CV computer vision COMMUNICATION socket communication between Pi and Ground Station