• Share your laptop webcam on the local network

  • Access your laptop webcam feed and a shared directory inside a Docker container

    • Run the vision application inside the container and display the live camera feed, modify the vision application and see the changes.

git clone https://github.com/J0hn-B/opencv_webcam.git && cd opencv_webcam

To change the default settings, edit the camera camera_feed & local_port variables

If your want to share the camera of a Windows machine and you have Task installed:

Taskfile.yml

task share_camera

else:

pip3 install -r camera_server/requirements.txt

python3 camera_server/camera.py

Starting the server, the IP address and port number will be displayed in the terminal

! Important: The container uses -v /tmp/.X11-unix:/tmp/.X11-unix to display the camera feed.

For -v /tmp/.X11-unix:/tmp/.X11-unix to work effectively, you should use a Unix-based host such as Linux, WSL or MacOS to run the container.

For Windows, you need to install an X server like VcXsrv

Update the camera_feed IP address in app file with the IP address and port number displayed in the previous step

camera_feed = "" # example: http://192.168.0.10:5000

Continue with:

task run_vision

else:

# Build the image
docker build -t vision:latest vision

# Run the container
docker run -it -e DISPLAY=$DISPLAY -v $(pwd)/vision/app/:/vision -v /tmp/.X11-unix:/tmp/.X11-unix --network="host" vision:latest /bin/bash

From inside the container:

# root@docker-desktop:/vision#

pip install -r requirements.txt

# root@docker-desktop:/vision#

python main.py

A new window will open displaying the live camera feed

# root@docker-desktop:/vision#

CTRL+C

exit