CUDI is for Custom Diaporama. This app is a display of the world, it will show you images with a particular aesthetic to keep your attention on the screen.

• Never forget to update your system:

  sudo apt update && sudo apt upgrade
  

• Install Rust and Cargo if it's not already done

• Install PostgreSQL:

  linux:
  sudo apt install postgresql postgresql-client
  
  windows:
  setx PQ_LIB_DIR "C:\Program Files\PostgreSQL\15\lib"
  install postgresql from their website
  

• set this env

  echo DATABASE_URL=postgres:https://username:password@localhost/diesel_demo > .env
  

• Create the database:

  CREATE ROLE gmx;
  CREATE DATABASE cudi_db;
  CREATE USER gmx WITH PASSWORD '1234';
  ALTER ROLE gmx SET default_transaction_isolation TO 'read committed';
  GRANT ALL PRIVILEGES ON DATABASE cudi_db TO gmx;
  \q
  

• Run following commands:

  cd media_handler
  diesel migration run
  cd ..
  python3 toolbox.py -fc/--from-scratch
  

1. Simple OpenGL engine in Rust:
   • Open a window with some images shown
   • Handle the high volume of local image to download per-second
   • Handle the sound
   • Handle video on screen
2. Options and customizations of the engine:
   • Custom parameter to control the engine
     • FPS
     • Filter
     • Mode (Cinema/Background/image with cudi in a plain rect see data/readme)
     • Media path selector
     • Tags (WIP)
     • Animations
   • Custom parameter in UX
   • Show Music player
   • Show Music analysis window
   • Media history (like/dislike) -> search engine w/ postgresql (WIP)
3. External API (real-time data acquisition):
   • Download photos or videos from API such as Archillect, Tumblr ou Google Photos
   • Handle the Deezer or Youtube API to play music
4. ML everywhere:
   • Add auto tagging image/video with themes/colors
   • Add music tagging with themes/styles and BPM selector
   • Adapt music and image/video BPM and tags

• create a database to stock the link of the image
• create an ImageLink class that get the link from Archillect or Google Photos or instagram feed (check the max requests)
• create an ML tag creator class using tensorflow to make a classification from all images
• found different sources to get the image's links

Image tagger to reference images or videos following recurrent themes or aesthetic descriptions. The tags could be stored within a SQL database next to the image link.

Find tag that referenced this themes:

• Main Colors
• Feelings
• Vibes / mood
• Art mouvements
• Words
• Custom tag to create KNN like media groups
• Music style

• create a Menu class that override the screen and manage all the options (image_speed - tags - mode - filter - media_root)
• create different mode (normal - gif surrounding the screen - animation (image or video where a part of the screen will aff cudi, the reste will be the template))
• add an history of every file with a tag search or color search

• manage the audio from the computer
• analyze the sound's curb to adapt cudi's parameter
• add an ML class to adapt the tags from the audio

Animation could be add to the screen:

• TV screen (high speed video* accelerated with b/w filter and speed cut)
• Images in line on the top of the screen, a slow dark wallscreen animation will be always display. Those images will describe a type of sound (frequencies). When this type will appear in a music the corresponding image will grow then retake is place. All the sounds will create a nearly chaotic and unique animation for each music.
• Color palette with gradient from left to right in high speed
• Fill the screen with the same image in high speed and in a geometric way
• Themes displayed with associative color palette (death -> dark)
• pixel sorting
• video in background and cudi on the top on certains part of the screen (anonymisation instead of blurring)
• check compression artifact here also