Project 2d - Image & video capture

Project start: 15 November 2021

Project finish: 18 December 2021

Last updated: 23 March 2022

Objective: familiarisation with Python and OpenCV

Note: jupyter Notebook files mentioned here can be donwloaded from my GitHub repository: https://github.com/James-Canova/MyMachineLearning

Electrical connections:

ensure the following are plugged-in/connected:

a) monitor

b) keyboard

c) mouse

d) WiFi module

e) power

check camera connection:

cd $HOME

ls /dev/video0 

you should see this:

/dev/video0 

I use VLC to play video files:

sudo apt-get install vlc

Image capture test:

An image can be captured usIng a function built-in to the Jetson Nano software:

cd $HOME

nvgstcapture-1.0 -m 1  

j #to take a snapshot
q #to quit

This will produce a *.jpg file in your user home directory

project_2d_image_capture_IMX219.ipynb programatically captures an image.

activate virtual environment:

cd ~/Public/Projects 

source myPython36VEnv/bin/activate

In virtual environment run Jupyter Notebook and then open .ipyb file

jupyter-notebook

Once the program starts, push 'q' to capture an image and exit.

This will produce a *.jpg file in the directory in which you ran Jupyter Notebook.

Video capture test:

A video can be captured using a function built-in to the Jetson Nano software:

cd $HOME

nvgstcapture-1.0 -m 2 

1 # start video recording
0 # stop video recording
q #to quit

This will produce a *.mp4 file in your user home directory

project_2d_video_capture_IMX219.ipynb programatically captures a video.

In virtual environment run Jupyter Notebook and then open .ipyb file

jupyter-notebook

Once the program starts video recording will start. Push 'q' to end the video capture and exit.

This will produce a *.avi file in the directory in which you ran Jupyter Notebook.

If you have any problems or need clarification please contact me: jscanova@gmail.com