BEAT - siebenkopf/GaborGridGraph/16

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.

This algorithm is splittable

Endpoint Groups 1

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Group: main

Endpoint Name	Data Format	Nature
image	system/array_2d_floats/1	Input
graph	siebenkopf/graph/1	Output

Parameters 4

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name	Description	Type	Default
step-y	The step size between two nodes in vertical direction	uint32	8
step-x	The step size between two nodes in horizontal direction	uint32	8
first-x	The horizontal position of the first node in the grid	uint32	4
first-y	The vertical position of the first node in the grid	uint32	4

import bob
import numpy

class Algorithm:

def setup(self, parameters):
    self.first = (int(parameters.get('first-y', 4)), int(parameters.get('first-x', 4)))
    self.step = (int(parameters.get('step-y', 4)), int(parameters.get('step-x', 4)))

self.gwt = bob.ip.GaborWaveletTransform() 
    return True

def process(self, inputs, outputs):
    # perform GWT
    image = inputs["image"].data.value
    jet_image = self.gwt.compute_jets(image)

# extract Gabor jets in grid graph
    last = (int(image.shape[0] - self.first[0] + 1), int(image.shape[1] - self.first[1] + 1))
    extractor = bob.machine.GaborGraphMachine(self.first, last, self.step)
    graph = extractor(jet_image)

locations = []
    jets = []
    for i in range(extractor.number_of_nodes):
      locations.append({"y" : numpy.int32(extractor.nodes[i][0]), "x" : numpy.int32(extractor.nodes[i][1])})
      jets.append({"abs" : graph[i,0], "phase" : graph[i,1]})

outputs["graph"].write({
      "location": locations,
      "jet": jets
    })

return True

The code for this algorithm in Python
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This algorithm extracts Gabor jets in grid graphs from the input images, as given in [Guenther12]. So far, the Gabor wavelet parameters cannot be modified, but in later versions, this might be the case.

[Guenther12]

Manuel Günther, Denis Haufe, Rolf P. Würtz. Face recognition with disparity corrected Gabor phase differences. Artificial Neural Networks and Machine Learning, pp. 411-418, 2012.

Experiments

Attestation:

Privacy:

Status:

Name	Databases/Protocols	Analyzers
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-PhaseDiff	xm2vts/1@darkened-lp1	siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-ScalarProduct	xm2vts/1@darkened-lp1	siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-Canberra	xm2vts/1@darkened-lp1	siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-ScalarProduct	banca/1@P	siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-Canberra	banca/1@P	siebenkopf/ROC/14,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-PhaseDiff	banca/1@P	siebenkopf/ROC/14,siebenkopf/EER_HTER/8

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

algorithms siebenkopf GaborGridGraph 16

Endpoint Groups 1

Group: main

Parameters 4

Experiments

algorithms

siebenkopf

GaborGridGraph

16