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Digitalizing physical chessboard position by photo with YOLO and OpenCV in an Android app environment. Analsying the position through cloud chess engine API.

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Gabrocecco/photoChess

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Android App/PhotoChess
Android App/PhotoChess
 
 
__pycache__
__pycache__
 
 
dataset_corners_labeled
dataset_corners_labeled
 
 
dataset_piecies
dataset_piecies
 
 
non_production_archive
non_production_archive
 
 
runs/detect
runs/detect
 
 
test_images
test_images
 
 
training_output/content/runs/detect
training_output/content/runs/detect
 
 
yolo_output_final_warped
yolo_output_final_warped
 
 
Figure_1.png
Figure_1.png
 
 
README.md
README.md
 
 
app.png
app.png
 
 
best_corners.pt
best_corners.pt
 
 
best_piecies.pt
best_piecies.pt
 
 
byte_array.py
byte_array.py
 
 
chessboard_transformed_with_grid.jpg
chessboard_transformed_with_grid.jpg
 
 
p_test.jpg
p_test.jpg
 
 
pipeline.py
pipeline.py
 
 
utils.py
utils.py
 
 
warped_image.jpg
warped_image.jpg
 
 
warped_image_with_detects.jpg
warped_image_with_detects.jpg
 
 
yoloTrainingColab.ipynb
yoloTrainingColab.ipynb
 
 

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PhotoChess

app

Authors:

Gabriele Ceccolini @Gabrocecco

Rocco Pastore @roccopastore

Giacomo Grilli @jackman91798

☑ Training of the Object detector model (YOLO) on the reference dataset

☑ Localization and classification of the pieces on the board starting from the output of the trained model

☑ Porting the position into a digital representation of the board

☑ Integration on Android application for position analysis via chess engine via external API

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Digitalizing physical chessboard position by photo with YOLO and OpenCV in an Android app environment. Analsying the position through cloud chess engine API.

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android python opencv object-detection yolov8

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