======Machine Learning - Ideepcolor Installation=====

We've modified the installation instructions from the github [[https://github.com/junyanz/interactive-deep-colorization|repo]] for use with a standard Xubuntu 18.04 ISO installer, creating an evironment.yml file to set up your Conda environment.

====Install OS====

  * [[https://xubuntu.org/download|Download]] the latest 64bit version of Xubuntu 18.04 from your local mirror
  * Make a USB installer  - you can use [[https://www.balena.io/etcher/|etcher]]  on Mac, Windows or Linux. 
  * Boot from your new USB stick and install 
  * Run ''apt get update'' and ''apt get upgrade''
  * install git ''apt get install git''

=====Setup Conda====

  * Download the latest [[https://docs.conda.io/en/latest/miniconda.html|Miniconda Linux 64-bit]] and follow the linux [[https://conda.io/projects/conda/en/latest/user-guide/install/linux.html#install-linux-silent|install instructions]]
  * Log out and back in.

=====Setup Ideepcolor=====

* Clone the repo:

  git clone https://github.com/junyanz/interactive-deep-colorization.git
  cd interactive-deep-colorization

 * Download the reference model

   bash ./models/fetch_models.sh

* download our working {{ workshops:prototypes:2022-23delivery-lasercutcovers:machine_learning:ideepcolor:environment.yml.zip |environment.yml}} and unzip it into your interactive-deep-colorization directory. Then create a new Conda environment using the yml file.

  conda env create -f environment.yml
  
Follow the rest of the instructions in the [[workshops:public:machine_learning:ideepcolor:start|workshop.]]