PCA Class Reference

Inheritance diagram for PCA:

Collaboration diagram for PCA:

Public Member Functions
def	__init__ (self, tau=-float('inf'))
def	process (self, piece)
def	score (self, piece_A, piece_B)

Static Public Member Functions
def	getEig (img)

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			tau = -float('inf')
	)

@brief  Constructor for the puzzle piece pca class.

Args:
    tau: The threshold param to determine difference.

Member Function Documentation

getEig()

def getEig (   img )

static

@brief  To find the major and minor axes of a blob.
See https://alyssaq.github.io/2015/computing-the-axes-or-orientation-of-a-blob/ for details.

Args:
    img: A mask image.

Returns:
    dict: A dict saving centerized points, main vectors.

process()

def process	(		self,
			piece
	)

@brief  Compute PCA feature from the raw puzzle data.

Args:
    piece: A puzzleTemplate instance saving a passed puzzle piece's info

Returns:
    The rotation of the main vector.

score()

def score	(		self,
			piece_A,
			piece_B
	)

@brief  Compute the score between two passed puzzle piece data.

Args:
    piece_A: A template instance saving a piece's info.
    piece_B: A template instance saving a piece's info.

Returns:
    distance: The degree distance between passed puzzle piece data and stored puzzle piece. (counter-clockwise)

---

The documentation for this class was generated from the following file:

• /home/pvela/python/puzzle_solver/puzzle/pieces/redone/pca.py