Chess Piece Detection | OpenCV matchTemplate()

This project involves loading multiple images of chess boards and utilizing the matchTemplate method of OpenCV to detect the pieces present on each board. As a result of this process, the output includes a comprehensive list of the detected chess piece names.

Piece	Name	Short Name	Piece	Name	Short Name
	King (White)	K		King (black)	k
	Queen (White)	Q		Queen (black)	q
	Rook (White)	R		Rook (black)	r
	Bishop (White)	B		Bishop (black)	b
	Knight (White)	N		Knight (black)	n
	Pawn (White)	P		Pawn (black)	p

Requirements

• Python 3.x
• OpenCV
• Numpy

Usage

To get started, first clone the repository and install the necessary dependencies by running the following command:

pip install opencv-python numpy

Next, place the chess board image files in the test/ directory and the chess piece image files in the chess_piece/ directory.

There are two ways to execute the program:

Method 1: Running in Terminal

To run the script in the terminal, use the following command:

python main.py

Method 2: Running in Jupyter Lab

To run the script in Jupyter Lab, open the main.ipynb notebook and execute the code.

Configuration

The following configurations can be adjusted according to the user's preference:

• SHOW_IMAGE: If set to True, the image with detected pieces will be displayed. Default is True.
• EXPORT_IMAGE: If set to True, the image with detected pieces will be saved to the dist/ directory. Default is True.
• chessPieceThreshold: The threshold values for each chess piece can be adjusted according to the image quality. The default values are provided in the script.
• CHESS_BOARD_OUTPUT_DIR: The directory where the output images will be saved. Default is dist/.

License

This project is licensed under the MIT License.