this worked for me:
create a new SD card from scratch as outlined here:
https://github.com/NVIDIA-AI-IOT/jetbot … om-Scratch
with the following modifications:
- use this jetbot image: jetbot_image_v0p3p0.zip (https://drive.google.com/open?id=1GF2D8 … 6cQu_5Ekt5)
this will give you TensorRT version 5.0.6.3 (instead of JetPack4.2.2’s 5.1) with Tensorflow and Jupyter etc already installed
- download and unzip sparkfun’s modification jetbot folder
https://cdn.sparkfun.com/assets/learn_t … jetbot.zip
edit the setup.py file and replace the Adafruit requirements with SparkFun packages:
install_requires=[
‘sparkfun-qwiic-scmd’,
‘sparkfun-qwiic-micro-oled’,
],
a lot of the steps have already been included in the jetbot_image_v0p3p0.zip image, but make sure you run
sudo python3 setup.py install
and set-up the jetbot_stats service:
cd jetbot/utils
python3 create_stats_service.py
sudo mv jetbot_stats.service /etc/systemd/system/jetbot_stats.service
sudo systemctl enable jetbot_stats
sudo systemctl start jetbot_stats
i also did a
pip3 install smbus2
I included the TRT engine from the link provided here:
https://devtalk.nvidia.com/default/topi … und-error/
I’m using the 8265.NGWMG Intel WiFi Modules (802.11) instead of the Edimax EW-7611 ULB so I did a
sudo systemctl stop nv-l4t-usb-device-mode.service
sudo systemctl disable nv-l4t-usb-device-mode.service
to connect to wifi
on first boot of the image, i did a
sudo apt update && sudo apt dist-upgrade -y --autoremove
to get updates out of the way
hope this helps,
-Sean