Docker Image For Digital Image Processing and Machine Learning

email: haryanto462@gmail.com

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This docker image running Ubuntu operating system (OS) include package library and framework for doing machine learning program with setting user Interface application. this docker image can work properly in windows or in Linux.

Specs:

• ipykernel==5.1.1
• ipython==7.7.0
• jupyter==1.0.0
• jupyter-c-kernel==1.2.2
• Keras==2.2.4
• matplotlib==3.1.1
• notebook==5.6.0
• numpy==1.17.0
• opencv-python==4.1.0.25
• pandas==0.25.0
• Pillow==6.1.0
• scikit-learn==0.21.2
• scipy==1.3.0
• seaborn==0.9.0
• tensorflow==1.14.0
• tornado==4.5.3

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setup

Install docker following the guideline installation for your Operating System (OS) Platform from docker documentation

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Obtaining docker image

• Download from docker hub
  • you can visit this link to download image from docker hub
• clone this repository and build the docker image
  • docker build -t oil-ml:1.0

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Setting On Windows

1. Download and install xming for Xserver in Windows.

2. After that add Ip addres in Host Xming like this article. you can see the step by step in bellow this .

   a. Go to the c:\Program Files (x86)\Xming\x0.hosts

   

   b. Open the X0.host file and add the IP address your pc. i suggest using Visual studio code.

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3. Then open PowerShell as administrator, set a DISPLAY environmental variable to your ip address.

4. Run docker Container from PowerShell with typing command:

   • docker run -it --privileged -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix oil-ml:1.0 /bin/bash

   for make sure the Xserver is work, you can typing Xclock

   

   After that you can run all of the user interface application such as jupyter notebook

   

Linux

1. Setting your user can run docker without sudo

   • sudo setfacl -m user:$USER:rw /var/run/docker.sock

2. Mount the file .x11-unix and export DISPLAY to docker command like bellow this. If you can run xclock that work properly

   • docker run --privileged=true -it --net=host -e DISPLAY --volume /tmp/.x11-unix -v /home/$USER:/home/sudoer oil-ml:1.0 /bin/bash
   

   • you can run jupyter notebook

     

Reference

1. Docker documentation

2. Windows 10, Docker and GUI Apps setting

3. Run docker without sudo in Linux

4. docker Volumes

5. Setting docker after installation