NOTES - FrogChopi/CF-VANGUARD-STRIDE-TO-VICTORY-FANMADE-TRAD GitHub Wiki

Here some global tips :

  • the <|読|よ|>み<|込|こ|> are <|kanji|kana|> that use for print kana around kanji for context
    there not essential, for trad i think it's better to use only the kanji part
  • the {$3040ff}せる。{$} balises are color balise, there not essential i think it's better to just suppress
    them to gain space
  • replace :
    • by
    • by
    • + by
  •  @0F =>【永】                 => [CONT]
     @25 =>【(R)】                => (RC)
     @0E =>【自】                 =>  [AUTO]
     @11 =>【スタンド】            =>  [Stand]
     @05 =>【(V)】                =>  (VC)
     @07 => パワー                 =>  [Power]
     @27 =>【ターン1回】           =>  [1/turn]
     @23 =>【超越】                =>  [Stride]
     @0D =>【起】                  => [ACT]
     @15 =>【カウンターブラスト】   => [Counter-Blast X]
     ①   => (1)                   => 1
     ③   => (3)                   => 3
     @10 =>【レスト】              => [Rest]
     @0B =>【インターセプト】       => ([Intercept])
     @0C =>【ブースト】            => ([Boost])
     @06 =>【(V)/(R)】            => (VC/RC)
    【与えられた能力】 =>           => Given capacity no real traduction, it's for G4 units
     @12 => 【リミットブレイク】(4) => [Limit-Break 4]
     @14 => 【ソウルブラスト】(3)   => [Soul-Blast 3]
  • you can use the docker-compose and the docker-compose.yaml to provide a local trad API, if your on windows
    i think it's better to install it directly on your WSL, you certainly need to install cuda / cuda wsl
      # Ajoute le dépôt NVIDIA
      distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
      && curl -s -L https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
      && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
          sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
          sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
    
      # Installe le toolkit
      sudo apt update
      sudo apt install -y nvidia-container-toolkit
    
      # Configure Docker
      sudo nvidia-ctk runtime configure --runtime=docker
    
      # Redémarre le service Docker dans WSL
      sudo service docker restart
  • if you want to use argos translate decomment it in docker-compose.yaml and test it with curl -X POST http://localhost:5000/translate -H "Content-Type: application/json" -d '{"text": "現在の進行状況を"}'
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