1. You need a host machine have Ubuntu 18.04 and go there to download and install Nvidia SDK Manager Install
2. After install, you can open sdkmanager with command sdkmanager

1. Connect a jumper between GND and FC REC The FC REC and GND jumper on the back of the jetson
2. Connect a micro USB to the Jetson Nano and the host machine.
3. Then you need select a right version of your Jetson.
4. Uncheck the DeepStream cuz we don’t need it.
5. SDK Manager Version will auto set to 4.6.4, if it not then you need to re-select it to the version 4.6.4.
6. We only need flash a OS so uncheck the Jetson SDK Components.
7. Click continue, set the username/password, and start the install (takes around 10 minutes if you already flash it before cuz the OS image is downloaded).
8. When flash done, you will need to remove the micro USB and the jumper. Then Connect the power supply to the Jetson Nano.

1. After the first time setup up done, open terminal and using command df -h and you will see the OS take 4.9GB/16GB. Don’t worry, it still enough for build Open CV, let run another command

sudo apt update sudo apt install nvidia-jetpack (This will takes aroud 15 min to download and install all the Cuda CuDNN,…)

1. Let install jtop to check if cuda is detect or not.

sudo apt install python3-pip sudo pip3 install jetson-stats Then run sudo jtop and press number 7 to check all information about ur OS. You will see we have OpenCV already but it not with CUDA, that why we need re-build OpenCV with cmake to let it work with CUDA.

1. After nvidia-jetpack installed, let clone this script to install OpenCV-4-5-0.sh
2. Let run this script with commmand sudo ./OpenCV-4-5-0.sh (This will takes around 5-6 hours to complete :)))) ).
3. After this build done, now you can check with sudo jtop and yes, we have OpenCV with CUDA now.

Now your lib cv2 is locate at /usr/lib/python3/dist-packages/. You can go there and copy the folder cv2 to backup it to another venv later.

In my case, at this point we have cv2 with CUDA. Now im insert a SD Card to Jetson Nano and create a python venv on SD Card. sudo pip3 install python3-venv python3 -m venv my-venv

Then go to the locate of cv2 above and copy it, paste it to my-venv/lib/dist-packages/. And now your new venv in SD Card already have cv2 with CUDA. You can test it by run source my-venv/bin/activate python3 Then import cv2. In my case this work perfectly!

1. Let also install Onnx for this Jetson Nano.

We need some space to install some package before we copy all OS to the SD Card. Let run command sudo apt clean Then install another package sudo apt-get install protobuf-compiler libprotoc-dev pip3 install onnx==1.4.1

And now you have onnx. Notes: Lib Onnx is locate at /usr/local/lib/python3.6/dist-package/onnx. So now you also can copy this onnx lib to my-venv like above.

• This guide takes me around a week to complete setup OpenCV with CUDA on this Jetson lol, im struggling with alot of error while build cmake for OpenCV.

• The USB drive boot files from Jetson Hacks
• The partition and copy instructions were from the Jetson Hacks Video
• The blog guide install YoloV8 on Jetson
• The script to install OpenCV on Jetson Nano