Completed findfeatures documentation. References #2262 (921dfeda) · Commits · aflab / astrogeology / ISIS3

isis/src/control/apps/findfeatures/assets/allparams.pvl

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		Object = Algorithms
		OpenCVVersion = 2.4.6.1

		Object = Algorithm
		Name = BackgroundSubtractor.GMG
		backgroundPrior = 0.8
		decisionThreshold = 0.8
		initializationFrames = 120
		learningRate = 0.025
		maxFeatures = 64
		quantizationLevels = 16
		smoothingRadius = 7
		updateBackgroundModel = Yes
		End_Object

		Object = Algorithm
		Name = BackgroundSubtractor.MOG
		backgroundRatio = 0.7
		history = 200
		nmixtures = 5
		noiseSigma = 15.0
		End_Object

		Object = Algorithm
		Name = BackgroundSubtractor.MOG2
		backgroundRatio = 0.89999997615814
		detectShadows = Yes
		fCT = 0.050000000745058
		fTau = 0.5
		fVarInit = 15.0
		fVarMax = 75.0
		fVarMin = 4.0
		history = 500
		nShadowDetection = 127
		nmixtures = 5
		varThreshold = 16.0
		varThresholdGen = 9.0
		End_Object

		Object = Algorithm
		Name = CLAHE
		clipLimit = 40.0
		tilesX = 8
		tilesY = 8
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlow.DualTVL1
		epsilon = 0.01
		iterations = 300
		lambda = 0.15
		nscales = 5
		tau = 0.25
		theta = 0.3
		useInitialFlow = No
		warps = 5
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.Brox_GPU
		alpha = 0.19699999690056
		gamma = 50.0
		innerIterations = 10
		outerIterations = 77
		scaleFactor = 0.80000001192093
		solverIterations = 10
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.DualTVL1
		epsilon = 0.01
		iterations = 300
		lambda = 0.15
		nscales = 5
		tau = 0.25
		theta = 0.3
		useInitialFlow = No
		warps = 5
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.DualTVL1_GPU
		Error = "/usgs/pkgs/local/v002/src/opencv/opencv-2.4.6.1/release/modules/-
		gpu/precomp.hpp:137: error: (-216) The library is compiled without
		GPU support in function throw_nogpu"
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.Farneback
		flags = 0
		numIters = 10
		numLevels = 5
		polyN = 5
		polySigma = 1.1
		pyrScale = 0.5
		winSize = 13
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.Farneback_GPU
		Error = "/usgs/pkgs/local/v002/src/opencv/opencv-2.4.6.1/modules/core/src-
		/gpumat.cpp:109: error: (-216) The library is compiled without
		CUDA support in function getDevice"
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.PyrLK_GPU
		Error = "/usgs/pkgs/local/v002/src/opencv/opencv-2.4.6.1/release/modules/-
		gpu/precomp.hpp:137: error: (-216) The library is compiled without
		GPU support in function throw_nogpu"
		End_Object

		Object = Algorithm
		Name = DenseOpticalFlowExt.Simple
		averagingBlockSize = 2
		layers = 3
		maxFlow = 4
		occThr = 0.35
		postProcessWindow = 18
		sigmaColor = 25.5
		sigmaColorFix = 25.5
		sigmaDist = 4.1
		sigmaDistFix = 55.0
		speedUpThr = 10.0
		upscaleAveragingRadius = 18
		upscaleSigmaColor = 25.5
		upscaleSigmaDist = 55.0
		End_Object

		Object = Algorithm
		Name = DescriptorMatcher.BFMatcher
		crossCheck = No
		normType = 4
		End_Object

		Object = Algorithm
		Name = DescriptorMatcher.FlannBasedMatcher
		End_Object

		Object = Algorithm
		Name = FaceRecognizer.Eigenfaces
		eigenvalues = cv::Mat
		eigenvectors = cv::Mat
		labels = cv::Mat
		mean = cv::Mat
		ncomponents = 0
		projections = cv::Mat_Vector
		threshold = 1.79769313486232e+308
		End_Object

		Object = Algorithm
		Name = FaceRecognizer.Fisherfaces
		eigenvalues = cv::Mat
		eigenvectors = cv::Mat
		labels = cv::Mat
		mean = cv::Mat
		ncomponents = 0
		projections = cv::Mat_Vector
		threshold = 1.79769313486232e+308
		End_Object

		Object = Algorithm
		Name = FaceRecognizer.LBPH
		grid_x = 8
		grid_y = 8
		histograms = cv::Mat_Vector
		labels = cv::Mat
		neighbors = 8
		radius = 1
		threshold = 1.79769313486232e+308
		End_Object

		Object = Algorithm
		Name = Feature2D.BRIEF
		bytes = 32
		End_Object

		Object = Algorithm
		Name = Feature2D.BRISK
		octaves = 3
		thres = 30
		End_Object

		Object = Algorithm
		Name = Feature2D.Dense
		featureScaleLevels = 1
		featureScaleMul = 0.10000000149012
		initFeatureScale = 1.0
		initImgBound = 0
		initXyStep = 6
		varyImgBoundWithScale = No
		varyXyStepWithScale = Yes
		End_Object

		Object = Algorithm
		Name = Feature2D.FAST
		nonmaxSuppression = Yes
		threshold = 10
		End_Object

		Object = Algorithm
		Name = Feature2D.FASTX
		nonmaxSuppression = Yes
		threshold = 10
		type = 2
		End_Object

		Object = Algorithm
		Name = Feature2D.FREAK
		nbOctave = 4
		orientationNormalized = Yes
		patternScale = 22.0
		scaleNormalized = Yes
		End_Object

		Object = Algorithm
		Name = Feature2D.GFTT
		k = 0.04
		minDistance = 1.0
		nfeatures = 1000
		qualityLevel = 0.01
		useHarrisDetector = No
		End_Object

		Object = Algorithm
		Name = Feature2D.Grid
		detector = Null
		gridCols = 4
		gridRows = 4
		maxTotalKeypoints = 1000
		End_Object

		Object = Algorithm
		Name = Feature2D.HARRIS
		k = 0.04
		minDistance = 1.0
		nfeatures = 1000
		qualityLevel = 0.01
		useHarrisDetector = Yes
		End_Object

		Object = Algorithm
		Name = Feature2D.MSER
		areaThreshold = 1.01
		delta = 5
		edgeBlurSize = 5
		maxArea = 14400
		maxEvolution = 200
		maxVariation = 0.25
		minArea = 60
		minDiversity = 0.2
		minMargin = 0.003
		End_Object

		Object = Algorithm
		Name = Feature2D.ORB
		WTA_K = 2
		edgeThreshold = 31
		firstLevel = 0
		nFeatures = 500
		nLevels = 8
		patchSize = 31
		scaleFactor = 1.2000000476837
		scoreType = 0
		End_Object

		Object = Algorithm
		Name = Feature2D.SIFT
		contrastThreshold = 0.04
		edgeThreshold = 10.0
		nFeatures = 0
		nOctaveLayers = 3
		sigma = 1.6
		End_Object

		Object = Algorithm
		Name = Feature2D.STAR
		lineThresholdBinarized = 8
		lineThresholdProjected = 10
		maxSize = 45
		responseThreshold = 30
		suppressNonmaxSize = 5
		End_Object

		Object = Algorithm
		Name = Feature2D.SURF
		extended = No
		hessianThreshold = 100.0
		nOctaveLayers = 3
		nOctaves = 4
		upright = No
		End_Object

		Object = Algorithm
		Name = Feature2D.SimpleBlob
		blobColor = 0
		filterByArea = Yes
		filterByCircularity = No
		filterByColor = Yes
		filterByConvexity = Yes
		filterByInertia = Yes
		maxArea = 5000.0
		maxCircularity = 3.40282346638529e+38
		maxConvexity = 3.40282346638529e+38
		maxInertiaRatio = 3.40282346638529e+38
		maxThreshold = 220.0
		minDistBetweenBlobs = 10.0
		minRepeatability = 2
		minThreshold = 50.0
		thresholdStep = 10.0
		End_Object

		Object = Algorithm
		Name = GeneralizedHough.POSITION
		dp = 1.0
		levels = 360
		minDist = 1.0
		votesThreshold = 100
		End_Object

		Object = Algorithm
		Name = GeneralizedHough.POSITION_ROTATION
		angleStep = 1.0
		dp = 1.0
		levels = 360
		maxAngle = 360.0
		minAngle = 0.0
		minDist = 1.0
		votesThreshold = 100
		End_Object

		Object = Algorithm
		Name = GeneralizedHough.POSITION_SCALE
		dp = 1.0
		levels = 360
		maxScale = 2.0
		minDist = 1.0
		minScale = 0.5
		scaleStep = 0.05
		votesThreshold = 100
		End_Object

		Object = Algorithm
		Name = GeneralizedHough.POSITION_SCALE_ROTATION
		angleEpsilon = 1.0
		angleStep = 1.0
		angleThresh = 15000
		dp = 1.0
		levels = 360
		maxAngle = 360.0
		maxScale = 2.0
		maxSize = 1000
		minAngle = 0.0
		minDist = 1.0
		minScale = 0.5
		posThresh = 100
		scaleStep = 0.05
		scaleThresh = 1000
		xi = 90.0
		End_Object

		Object = Algorithm
		Name = StatModel.EM
		covMatType = 1
		covs = cv::Mat_Vector
		epsilon = 1.19209289550781e-07
		maxIters = 100
		means = cv::Mat
		nclusters = 5
		weights = cv::Mat
		End_Object

		Object = Algorithm
		Name = SuperResolution.BTVL1
		alpha = 0.7
		blurKernelSize = 5
		blurSigma = 0.0
		btvKernelSize = 7
		iterations = 180
		lambda = 0.03
		opticalFlow = DenseOpticalFlowExt.Farneback
		scale = 4
		tau = 1.3
		temporalAreaRadius = 4
		End_Object
		End_Object
		End

isis/src/control/apps/findfeatures/assets/qnet.png

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isis/src/control/apps/findfeatures/findfeatures.xml

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