Uses SIFT feature points with descriptors as an object representation. More...

Inheritance diagram for Sift:

Collaboration diagram for Sift:

Public Member Functions
def	__init__ (self, tau=10, theThreshMatch=0.5)

def	compare (self, piece_A, piece_B)

def	process (self, piece)

def	score (self, yA, yB)

Public Member Functions inherited from MatchSimilar
def	__init__ (self, theParams=CfgSimilar())

Public Member Functions inherited from Matcher
tuple[float, np.ndarray]	estimateAffineMatch (self, piece_A, piece_B)
	Estimate the rigid affine transform that aligns piece A to piece B. More...

def	extractFeature (self, piece)
	Process raw puzzle piece data to obtain encoded description of piece. More...

"Matcher"	fit (self, groups, list[str]\|None labels=None)
	Given raw data regarding expected element instances, identify model to differentiate them if possible for this matcher type. More...

"Matcher"	fitFromImageSegmented (self, Irgb, Iseg, hasLabs=False)
	Given an image and a segmentation, generate fit. More...

def	solveMatchedPuzzle (self, puzzle, sol)

Static Public Member Functions
def	kpFeaExtract (piece)

Static Public Member Functions inherited from Matcher
tuple[np.ndarray, np.ndarray]	pcaFrame (piece)
	Estimate a signed PCA frame from a puzzle piece's foreground pixels. More...

Public Attributes
	tau

	theThreshMatch

Public Attributes inherited from Matcher
	params

Detailed Description

Uses SIFT feature points with descriptors as an object representation.

It is not perfect for smaller objects with few features, but it does a good
enough job to work as a first pass.  If better is needed, this serves as a
baseline from which to understand the properties of the object set.

Constructor & Destructor Documentation

◆ init()

def __init__	(	self,
		tau = `10`,
		theThreshMatch = `0.5`
	)

@brief  Constructor for the puzzle piece sift class.

@param[in]  tau             Threshold param to determine similarity for SIFT feature.
@param[in]  theThreshMatch  The threshold to determine match (0-1).

Member Function Documentation

◆ compare()

def compare	(	self,
		piece_A,
		piece_B
	)

@brief  Compare between two passed puzzle piece data.
        See https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_matcher/py_matcher.html
        and https://scikit-image.org/docs/dev/auto_examples/transform/plot_matching.html

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

Returns:
    Comparison result & rotation angle(degree) & other params.

Reimplemented from MatchSimilar.

◆ kpFeaExtract()

def kpFeaExtract ( piece )

static

@brief  Compute sift features from the raw puzzle data.

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

Returns:
    kp: The sift keypoints.
    des: The sift descriptor.

◆ process()

def process	(	self,
		piece
	)

@brief  Process the puzzle piece.

Returns:
    The processed feature.

◆ score()

def score	(	self,
		yA,
		yB
	)

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

Args:
    yA: A template instance saving a piece's info.
    yB: A template instance saving a piece's info.

Returns:
    distance: The distance between the two passed puzzle piece data.

Reimplemented from Matcher.

Member Data Documentation

◆ tau

tau

◆ theThreshMatch

theThreshMatch

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

/home/mary/python/puzzle_solver/puzzle/pieces/sift.py

Public Member Functions

Static Public Member Functions

Public Attributes