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[otb] add description for otb modules
git-svn-id: http://sextante.googlecode.com/svn/trunk/soft/bindings/qgis-plugin@78 881b9c09-3ef8-f3c2-ec3d-21d735c97f4d
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julien.malik@gmail.com
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Apr 13, 2012
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otbcli_BandMath | ||
BandMath | ||
OTB | ||
OutputRaster|-out|Output image.| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 | ||
ParameterString|-exp|The mathematical expression to apply. \nUse im1b1 for the first band, im1b2 for the second one...| |
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otbcli_BundleToPerfectSensor | ||
BundleToPerfectSensor | ||
OTB | ||
ParameterRaster|-inp| Input panchromatic image.|True | ||
ParameterRaster|-inxs| Input XS image.|True | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 | ||
ParameterNumber|-lms| Spacing of the deformation field. Default is 10 times the PAN image spacing.|None|None|None | ||
OutputRaster|-out| Output image.| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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otbcli_ColorMapping | ||
ColorMapping | ||
OTB | ||
ParameterRaster|-in|Input image filename|True | ||
OutputRaster|-out|Output image filename| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 | ||
ParameterSelection|-op|Selection of the operation to execute (default is : label to color).|labeltocolor;colortolabel; | ||
ParameterNumber|-op.colortolabel.notfound|Label to use for unknown colors.|None|None|404 | ||
ParameterSelection|-method|Selection of color mapping methods and their parameters.|custom;continuous;optimal;image; | ||
ParameterString|-method.custom.lut|An ASCII file containing the look-up table\nwith one color per line\n(for instance the line '1 255 0 0' means that all pixels with label 1 will be replaced by RGB color 255 0 0)\nLines beginning with a # are ignored| | ||
ParameterSelection|-method.continuous.lut|Available look-up tables.|red;green;blue;grey;hot;cool;spring;summer;autumn;winter;copper;jet;hsv;overunder;relief; | ||
ParameterNumber|-method.continuous.min|Set the lower input value of the mapping range.|None|None|0.0 | ||
ParameterNumber|-method.continuous.max|Set the higher input value of the mapping range.|None|None|255.0 | ||
ParameterNumber|-method.optimal.background|Value of the background label|None|None|0 | ||
ParameterRaster|-method.image.in|Support image filename. LUT is calculated using the mean af pixel value on the area. First of all image is normalized with extrema rejection|True | ||
ParameterNumber|-method.image.low|lower quantile for image normalisation|None|None|2 | ||
ParameterNumber|-method.image.up|upper quantile for image normalisation|None|None|2 |
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otbcli_CompareImages | ||
CompareImages | ||
OTB | ||
ParameterRaster|-ref.in|Image used as reference in the comparaison|True | ||
ParameterNumber|-ref.channel|Used channel for the reference image|None|None|1 | ||
ParameterRaster|-meas.in|Image used as measured in the comparaison|True | ||
ParameterNumber|-meas.channel|Used channel for the measured image|None|None|1 | ||
ParameterNumber|-roi.startx|ROI start x position.|None|None|0 | ||
ParameterNumber|-roi.starty|ROI start y position.|None|None|0 | ||
ParameterNumber|-roi.sizex|size along x in pixels.|None|None|0 | ||
ParameterNumber|-roi.sizey|size along y in pixels.|None|None|0 | ||
ParameterNumber|-mse|Mean Squared Error value|None|None|None | ||
ParameterNumber|-mae|Mean Absolute Error value|None|None|None | ||
ParameterNumber|-psnr|Peak Signal to Noise Ratio value|None|None|None |
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otbcli_ComputeImagesStatistics | ||
ComputeImagesStatistics | ||
OTB | ||
ParameterString|-out|XML filename where the statistics are saved for future reuse.| |
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src/sextante/otb/description/ComputePolylineFeatureFromImage.txt
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otbcli_ComputePolylineFeatureFromImage | ||
ComputePolylineFeatureFromImage | ||
OTB | ||
ParameterRaster|-in|An image to compute the descriptors on.|True | ||
ParameterVector|-vd|Vector data containing the polylines where the features will be computed.|True | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 | ||
ParameterString|-expr|The feature formula (b1 < 0.3) where b1 is the standard name of input image first band| | ||
ParameterString|-field|The field name corresponding to the feature codename (NONDVI, ROADSA...)| | ||
OutputVector|-out|The output vector data containing polylines with a new field| |
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otbcli_ConcatenateImages | ||
ConcatenateImages | ||
OTB | ||
OutputRaster|-out|The concatenated output image| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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otbcli_ConcatenateVectorData | ||
ConcatenateVectorData | ||
OTB | ||
OutputVector|-out|Output conctenated VectorData| |
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src/sextante/otb/description/ConnectedComponentSegmentation.txt
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otbcli_ConnectedComponentSegmentation | ||
ConnectedComponentSegmentation | ||
OTB | ||
ParameterRaster|-in|The image to segment.|True | ||
OutputVector|-out|The segmentation shape.| | ||
ParameterString|-mask|Mask mathematical expression (only if support image is given)| | ||
ParameterString|-expr|Formula used for connected component segmentation| | ||
ParameterNumber|-minsize|Min object size (area in pixel)|None|None|2 | ||
ParameterString|-obia|OBIA mathematical expression| | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 |
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otbcli_Convert | ||
Convert | ||
OTB | ||
ParameterRaster|-in|Input image|True | ||
ParameterSelection|-type|Transfer function for the rescaling|none;linear;log2; | ||
OutputRaster|-out|Output image| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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otbcli_ConvertCartoToGeoPoint | ||
ConvertCartoToGeoPoint | ||
OTB | ||
ParameterNumber|-carto.x|X cartographic coordinates in the specified projection.|None|None|None | ||
ParameterNumber|-carto.y|Y cartographic coordinates in the specified projection.|None|None|None | ||
ParameterSelection|-mapproj|Parameters of the ouptut map projection to be used.|utm;lambert2;lambert93;transmercator;wgs;epsg; | ||
ParameterNumber|-mapproj.utm.zone|The zone number ranges from 1 to 60 and allows to define the transverse mercator projection (along with the hemisphere)|None|None|None | ||
ParameterBoolean|-mapproj.utm.northhem|The transverse mercator projections are defined by their zone number as well as the hemisphere. Activate this parameter if your image is in the northern hemisphere.| | ||
ParameterNumber|-mapproj.transmercator.falseeasting| Transmercator false easting value.|None|None|0.0 | ||
ParameterNumber|-mapproj.transmercator.falsenorthing| Transmercator false northing value.|None|None|0.0 | ||
ParameterNumber|-mapproj.transmercator.scale| Transmercator scale factor value.|None|None|1.0 | ||
ParameterNumber|-mapproj.epsg.code|See www.spatialreference.org to find which EPSG code is associated to your projection|None|None|32631 | ||
ParameterNumber|-long|Point longitude coordinates.|None|None|None | ||
ParameterNumber|-lat|Point latitude coordinates.|None|None|None |
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otbcli_ConvertSensorToGeoPoint | ||
ConvertSensorToGeoPoint | ||
OTB | ||
ParameterRaster|-in|Input sensor image.|True | ||
ParameterNumber|-input.idx|X coordinate of the point to transform.|None|None|None | ||
ParameterNumber|-input.idy|Y coordinate of the point to transform.|None|None|None | ||
ParameterNumber|-output.idx|Output point longitude coordinate.|None|None|None | ||
ParameterNumber|-output.idy|Output point latitude coordinate.|None|None|None | ||
ParameterString|-output.town|Nearest main town of the computed geographic point.| | ||
ParameterString|-output.country|Country of the input image| |
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otbcli_DSFuzzyModelEstimation | ||
DSFuzzyModelEstimation | ||
OTB | ||
ParameterVector|-psin|Ground truth vector data for positive samples|True | ||
ParameterVector|-nsin|Ground truth vector data for negative samples|True | ||
ParameterString|-cri|Dempster Shafer criterion (by default (belief+plausibility)/2)|((Belief + Plausibility)/2.) | ||
ParameterNumber|-wgt|Coefficient between 0 and 1 to promote undetection or false detections (default 0.5)|None|None|0.5 | ||
ParameterString|-initmod|Initialization model (xml file) to be used. If the xml initialization model is set, the descriptor list is not used (specified using the option -desclist)| | ||
ParameterNumber|-maxnbit|Maximum number of optimizer iteration (default 200)|None|None|200 | ||
ParameterBoolean|-optobs|Activate the optimizer observer| | ||
ParameterString|-out|Output model file name (xml file) contains the optimal model to perform informations fusion.| |
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otbcli_ExtractROI | ||
ExtractROI | ||
OTB | ||
ParameterRaster|-in|Input image.|True | ||
OutputRaster|-out|Output image.| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 | ||
ParameterNumber|-startx|ROI start x position.|None|None|0 | ||
ParameterNumber|-starty|ROI start y position.|None|None|0 | ||
ParameterNumber|-sizex|size along x in pixels.|None|None|0 | ||
ParameterNumber|-sizey|size along y in pixels.|None|None|0 |
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otbcli_FineRegistration | ||
FineRegistration | ||
OTB | ||
ParameterRaster|-ref|The reference image.|True | ||
ParameterRaster|-sec|The secondary image.|True | ||
OutputRaster|-out|The output image.| | ||
ParameterNumber|-erx|The exploration radius along x (in pixels)|None|None|None | ||
ParameterNumber|-ery|The exploration radius along y (in pixels)|None|None|None | ||
ParameterNumber|-mrx|Radius along x (in pixels) of the metric computation window|None|None|None | ||
ParameterNumber|-mry|Radius along y (in pixels) of the metric computation window|None|None|None | ||
ParameterRaster|-w|The image to warp after disparity estimation is completed|False | ||
OutputRaster|-wo|The output warped image| | ||
ParameterNumber|-cox|Coarse offset along x (in physical space) between the two images|None|None|0.0 | ||
ParameterNumber|-coy|Coarse offset along y (in physical space) between the two images|None|None|0.0 | ||
ParameterNumber|-ssrx|Generates a result at a coarser resolution with a given sub-sampling rate along X|None|None|1.0 | ||
ParameterNumber|-ssry|Generates a result at a coarser resolution with a given sub-sampling rate along Y|None|None|1.0 | ||
ParameterNumber|-rgsx|Performs a gaussian smoothing of the reference image. Parameter is gaussian sigma (in pixels) in X direction.|None|None|None | ||
ParameterNumber|-rgsy|Performs a gaussian smoothing of the reference image. Parameter is gaussian sigma (in pixels) in Y direction.|None|None|None | ||
ParameterNumber|-sgsx|Performs a gaussian smoothing of the secondary image. Parameter is gaussian sigma (in pixels) in X direction.|None|None|None | ||
ParameterNumber|-sgsy|Performs a gaussian smoothing of the secondary image. Parameter is gaussian sigma (in pixels) in Y direction.|None|None|None | ||
ParameterString|-m|Choose the metric used for block matching. Available metrics are cross-correlation (CC), cross-correlation with subtracted mean (CCSM), mean-square difference (MSD), mean reciprocal square difference (MRSD) and mutual information (MI). Default is cross-correlation| | ||
ParameterNumber|-spa|Metric extrema location will be refined up to the given accuracy. Default is 0.01|None|None|0.00999999977648 | ||
ParameterNumber|-vmlt|Lower threshold to obtain a validity mask.|None|None|None | ||
ParameterNumber|-vmut|Upper threshold to obtain a validity mask.|None|None|None | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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otbcli_GridBasedImageResampling | ||
GridBasedImageResampling | ||
OTB | ||
ParameterRaster|-io.in|The input image to resample|True | ||
OutputRaster|-io.out|The resampled output image| | ||
ParameterRaster|-grid.in|The resampling grid|True | ||
ParameterSelection|-grid.type|Allows to choose between two grid types|def;loc; | ||
ParameterNumber|-out.ulx|X Coordinate of the upper-left pixel of the output resampled image|None|None|0.0 | ||
ParameterNumber|-out.uly|Y Coordinate of the upper-left pixel of the output resampled image|None|None|0.0 | ||
ParameterNumber|-out.sizex|Size of the output resampled image along X (in pixels)|None|None|None | ||
ParameterNumber|-out.sizey|Size of the output resampled image along Y (in pixels)|None|None|None | ||
ParameterNumber|-out.spacingx|Size of each pixel along X axis|None|None|1.0 | ||
ParameterNumber|-out.spacingy|Size of each pixel along Y axis|None|None|1.0 | ||
ParameterNumber|-out.default|The default value to give to pixel that falls outside of the input image.|None|None|0.0 | ||
ParameterSelection|-interpolator|This group of parameters allows to define how the input image will be interpolated during resampling.|nn;linear;bco; | ||
ParameterNumber|-interpolator.bco.radius|This parameter allows to control the size of the bicubic interpolation filter. If the target pixel size is higher than the input pixel size, increasing this parameter will reduce aliasing artefacts.|None|None|2 | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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src/sextante/otb/description/HooverCompareSegmentation.txt
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otbcli_HooverCompareSegmentation | ||
HooverCompareSegmentation | ||
OTB | ||
ParameterRaster|-ingt|A partial ground truth segmentation image.|True | ||
ParameterRaster|-inms|A machine segmentation image.|True | ||
ParameterNumber|-bg|Label value of the background in the input segmentations|None|None|0 | ||
ParameterNumber|-th|Overlapping threshold used to find Hoover instances.|None|None|0.75 | ||
OutputRaster|-outgt|The colored ground truth output image.| | ||
OutputRaster|-outms|The colored machine segmentation output image.| | ||
ParameterNumber|-rc|Overall score for correct detection (RC)|None|None|None | ||
ParameterNumber|-rf|Overall score for over segmentation (RF)|None|None|None | ||
ParameterNumber|-ra|Overall score for under segmentation (RA)|None|None|None | ||
ParameterNumber|-rm|Overall score for missed detection (RM)|None|None|None |
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otbcli_HyperspectralUnmixing | ||
HyperspectralUnmixing | ||
OTB | ||
ParameterRaster|-in|The hyperspectral data cube to unmix|True | ||
OutputRaster|-out|The output abundance map| | ||
ParameterRaster|-ie|The endmembers (estimated pure pixels) to use for unmixing. Must be stored as a multispectral image, where each pixel is interpreted as an endmember|True | ||
ParameterSelection|-ua|The algorithm to use for unmixing|ucls;ncls;isra;mdmdnmf; |
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otbcli_ImageEnvelope | ||
ImageEnvelope | ||
OTB | ||
ParameterRaster|-in|Input image.|True | ||
OutputVector|-out|Vector data file containing the envelope| | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 | ||
ParameterString|-proj|Projection to be used to compute the envelope (default is WGS84)| |
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otbcli_ImageSVMClassifier | ||
ImageSVMClassifier | ||
OTB | ||
ParameterRaster|-in|The input image to classify.|True | ||
ParameterRaster|-mask|The mask allows to restrict classification of the input image to the area where mask pixel values are greater than 0.|False | ||
ParameterString|-svm|A SVM model file (*.svm extension, produced by TrainSVMImagesClassifier application).| | ||
ParameterString|-imstat|A XML file containing mean and standard deviation to center and reduce samples before classification (produced by ComputeImagesStatistics application).| | ||
OutputRaster|-out|Output image containing class labels| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 |
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otbcli_KMeansClassification | ||
KMeansClassification | ||
OTB | ||
ParameterRaster|-in|Input image to classify.|True | ||
OutputRaster|-out|Output image containing the class indexes.| | ||
ParameterNumber|-ram|Available memory for processing (in MB)|None|None|128 | ||
ParameterRaster|-vm|Validity mask. Only non-zero pixels will be used to estimate KMeans modes.|False | ||
ParameterNumber|-ts|Size of the training set (in pixels).|None|None|100 | ||
ParameterNumber|-nc|Number of modes, which will be used to generate class membership.|None|None|5 | ||
ParameterNumber|-maxit|Maximum number of iterations for the learning step.|None|None|1000 | ||
ParameterNumber|-ct|Convergence threshold for class centroid (L2 distance, by default 0.01).|None|None|9.99999974738e-05 | ||
ParameterString|-outmeans|Output text file containing centroid positions| |
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otbcli_KmzExport | ||
KmzExport | ||
OTB | ||
ParameterRaster|-in|Input image|True | ||
ParameterString|-out|Output Kmz product directory (with .kmz extension)| | ||
ParameterNumber|-tilesize|Size of the tiles in the kmz product, in number of pixels.|None|None|None | ||
ParameterRaster|-logo|Path to the image logo to add to the KMZ product.|False | ||
ParameterRaster|-legend|Path to the image legend to add to the KMZ product.|False | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 |
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otbcli_LineSegmentDetection | ||
LineSegmentDetection | ||
OTB | ||
ParameterRaster|-in| Input image on which lines while be detected.|True | ||
OutputVector|-out| Output detected line segments (vector data).| | ||
ParameterSelection|-elev|This group of parameters allows to manage elevation values. Supported formats are SRTM, DTED or any geotiff processed by the DEM import application|dem;average; | ||
ParameterString|-elev.dem.path|This parameter allows to select a directory containing Digital Elevation Model tiles| | ||
ParameterString|-elev.dem.geoid|Use a geoid grid to get the height above the ellipsoid used| | ||
ParameterNumber|-elev.average.value|This parameter allows to pick up an average elevation for all the points of the image.|None|None|0.0 | ||
ParameterBoolean|-norescale|By default, the input image amplitude is rescaled between [0,255]. Turn on this parameter to skip rescaling| |
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src/sextante/otb/description/MaximumAutocorrelationFactor.txt
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otbcli_MaximumAutocorrelationFactor | ||
MaximumAutocorrelationFactor | ||
OTB | ||
ParameterRaster|-in|The input image to apply MAF decomposition on.|True | ||
OutputRaster|-out|MAF decomposition of the input image. Components are ordered by decreasing eigenvalues.| |
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otbcli_MeanShiftSegmentation | ||
MeanShiftSegmentation | ||
OTB | ||
ParameterRaster|-in|The input image.|True | ||
OutputRaster|-fout|The filtered output image.| | ||
OutputRaster|-cout|The clustered output image.| | ||
OutputRaster|-lout|The label output image.| | ||
OutputRaster|-cbout|The cluster boundaries output image.| | ||
ParameterNumber|-spatialr|Spatial radius defining neighborhood.|None|None|5 | ||
ParameterNumber|-ranger|Range radius defining the interval in the color space.|None|None|15.0 | ||
ParameterNumber|-minsize|Minimun size of a region to be kept after clustering.|None|None|100 | ||
ParameterNumber|-scale|Scale to stretch the image before processing.|None|None|100000.0 |
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