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ChessBoardToFEN

Project which uses PyTorch to classify Digital Chess Boards into their FEN notation

Steps to use final classifier

  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!

How I built the final classifier

  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"

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Project which uses PyTorch to classify Chess Boards into their FEN notation

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1 watching

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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
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ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
Skip to content
BranchesTags
Repository files navigation
ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Contributors
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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
Skip to content
BranchesTags
Repository files navigation
ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
Skip to content
BranchesTags
Repository files navigation
ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
Skip to content
BranchesTags
Repository files navigation
ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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GitHub - Likey00/ChessBoardToFEN: Project which uses PyTorch to classify Chess Boards into their FEN notation · GitHub
Skip to content
BranchesTags
Repository files navigation
ChessBoardToFEN
Project which uses PyTorch to classify Digital Chess Boards into their FEN notation
Steps to use final classifier
  • Upload "best_model_cpu_scripted.pt" and "PredictNewBoard.ipynb" to your Google Drive
  • Run "PredictNewBoard.ipynb" in Google Colab
  • Take a snip of the board you want to classify (Should be close to the exact board square)
  • Upload the image file using the file upload button to see the predicted FEN!
How I built the final classifier
  • I started with the various chess boards with labeled FENs found at https://www.kaggle.com/datasets/koryakinp/chess-positions
  • I split the first 1000 boards into labeled tiles for training in "process.ipynb".
  • I zipped my labeled tiles and sent them to Google Drive, then trained a model to predict them in "IdentifyChessPieces.ipynb"
  • I stored my best model in Google Drive, and tested my model's accuracy on the full boards in "PredictBoardFENs.ipynb"
  • I stored the CPU version of my model, and made the final board prediction tool in "PredictNewBoard.ipynb"
About
Project which uses PyTorch to classify Chess Boards into their FEN notation
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages