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

• Python 3.x
• OpenCV
• Numpy

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.

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/.

This project is licensed under the MIT License.