Holds all information related to a single character, such as nominal and average position, reference quality indicators,... During the learning phases, it also keeps the list of its constituent blobs.
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| | WhiteOnBlack = property(_WhiteOnBlack__getter, _WhiteOnBlack__setter) |
| | Character contrast: true for light characters on a dark background.
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| | Selected = property(_Selected__getter, _Selected__setter) |
| | Selection state: TRUE when selected.
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| | NumContourPoints = property(_NumContourPoints__getter, _NumContourPoints__setter) |
| | Number of contour points of this character used for location.
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| | TemplateLocationScore = property(_TemplateLocationScore__getter, _TemplateLocationScore__setter) |
| | Value of the location score measured on the template during learning.
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| | SampleLocationScore = property(_SampleLocationScore__getter, _SampleLocationScore__setter) |
| | Value of the location score measured on the sample during inspection.
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| | LocationScoreTolerance = property(_LocationScoreTolerance__getter, _LocationScoreTolerance__setter) |
| | Allowed absolute difference between the template and sample scores.
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| | ShiftX = property(_ShiftX__getter, _ShiftX__setter) |
| | Measured horizontal translation.
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| | ShiftXBias = property(_ShiftXBias__getter, _ShiftXBias__setter) |
| | Horizontal translation bias.
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| | ShiftXTolerance = property(_ShiftXTolerance__getter, _ShiftXTolerance__setter) |
| | Horizontal translation tolerance.
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| | ShiftXStride = property(_ShiftXStride__getter, _ShiftXStride__setter) |
| | First pass stride for the horizontal translation.
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| | ShiftY = property(_ShiftY__getter, _ShiftY__setter) |
| | Measured vertical translation.
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| | ShiftYBias = property(_ShiftYBias__getter, _ShiftYBias__setter) |
| | Vertical translation bias.
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| | ShiftYTolerance = property(_ShiftYTolerance__getter, _ShiftYTolerance__setter) |
| | Vertical translation tolerance.
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| | ShiftYStride = property(_ShiftYStride__getter, _ShiftYStride__setter) |
| | First pass stride for the vertical translation.
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| | Diagnostics = property(_Diagnostics__getter, _Diagnostics__setter) |
| | Logical combination (bitwise OR) of defects.
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| | MarginWidth = property(_MarginWidth__getter, _MarginWidth__setter) |
| | Width of the extra space to be used around the characters bounding box (on all four sides) when computing a quality indicator.
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| | TemplateForegroundArea = property(_TemplateForegroundArea__getter, _TemplateForegroundArea__setter) |
| | Number of pixels in the template foreground of this character.
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| | SampleForegroundArea = property(_SampleForegroundArea__getter, _SampleForegroundArea__setter) |
| | Number of foreground pixels of this character corresponding to a foreground pixel of the template character.
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| | ForegroundAreaTolerance = property(_ForegroundAreaTolerance__getter, _ForegroundAreaTolerance__setter) |
| | Maximum allowed difference between the sample and template foreground areas.
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| | TemplateBackgroundArea = property(_TemplateBackgroundArea__getter, _TemplateBackgroundArea__setter) |
| | Number of pixels in the background of this character.
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| | SampleBackgroundArea = property(_SampleBackgroundArea__getter, _SampleBackgroundArea__setter) |
| | Number of background pixels of this character corresponding to a background pixel of the template character.
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| | BackgroundAreaTolerance = property(_BackgroundAreaTolerance__getter, _BackgroundAreaTolerance__setter) |
| | Maximum allowed difference between the sample and template background areas.
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| | TemplateForegroundSum = property(_TemplateForegroundSum__getter, _TemplateForegroundSum__setter) |
| | Sum of the normalized gray-level values of the foreground pixels of this character.
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| | SampleForegroundSum = property(_SampleForegroundSum__getter, _SampleForegroundSum__setter) |
| | Sum of the normalized gray-level values of the pixels of this character corresponding to a foreground pixel of the template character.
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| | ForegroundSumTolerance = property(_ForegroundSumTolerance__getter, _ForegroundSumTolerance__setter) |
| | Maximum allowed difference between the sample and template foreground sums.
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| | TemplateBackgroundSum = property(_TemplateBackgroundSum__getter, _TemplateBackgroundSum__setter) |
| | Sum of the normalized gray-level values of the background pixels of this character.
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| | SampleBackgroundSum = property(_SampleBackgroundSum__getter, _SampleBackgroundSum__setter) |
| | Sum of the normalized gray-level values of the pixels of this character corresponding to a background pixel of the template character.
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| | BackgroundSumTolerance = property(_BackgroundSumTolerance__getter, _BackgroundSumTolerance__setter) |
| | Maximum allowed difference between the sample and template background sums.
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| | Correlation = property(_Correlation__getter, _Correlation__setter) |
| | Normalized correlation involving the template and sample character images.
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| | CorrelationTolerance = property(_CorrelationTolerance__getter, _CorrelationTolerance__setter) |
| | Maximum allowed difference between the normalized correlation and unity.
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| | LocationScoreAverage = property(_LocationScoreAverage__getter, _LocationScoreAverage__setter) |
| | Location score average.
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| | LocationScoreDeviation = property(_LocationScoreDeviation__getter, _LocationScoreDeviation__setter) |
| | Location score standard deviation.
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| | ShiftXAverage = property(_ShiftXAverage__getter, _ShiftXAverage__setter) |
| | Shift X average.
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| | ShiftXDeviation = property(_ShiftXDeviation__getter, _ShiftXDeviation__setter) |
| | Shift X standard deviation.
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| | ShiftXMin = property(_ShiftXMin__getter, _ShiftXMin__setter) |
| | Minimum Shift X.
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| | ShiftXMax = property(_ShiftXMax__getter, _ShiftXMax__setter) |
| | Maximum Shift X.
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| | ShiftYAverage = property(_ShiftYAverage__getter, _ShiftYAverage__setter) |
| | Shift Y average.
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| | ShiftYDeviation = property(_ShiftYDeviation__getter, _ShiftYDeviation__setter) |
| | Shift Y standard deviation.
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| | ShiftYMin = property(_ShiftYMin__getter, _ShiftYMin__setter) |
| | Minimum Shift Y.
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| | ShiftYMax = property(_ShiftYMax__getter, _ShiftYMax__setter) |
| | Maximum Shift Y.
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| | ForegroundAreaAverage = property(_ForegroundAreaAverage__getter, _ForegroundAreaAverage__setter) |
| | Foreground area average.
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| | ForegroundAreaDeviation = property(_ForegroundAreaDeviation__getter, _ForegroundAreaDeviation__setter) |
| | Foreground area standard deviation.
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| | BackgroundAreaAverage = property(_BackgroundAreaAverage__getter, _BackgroundAreaAverage__setter) |
| | Background area average.
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| | BackgroundAreaDeviation = property(_BackgroundAreaDeviation__getter, _BackgroundAreaDeviation__setter) |
| | Background area standard deviation.
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| | ForegroundSumAverage = property(_ForegroundSumAverage__getter, _ForegroundSumAverage__setter) |
| | Foreground sum average.
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| | ForegroundSumDeviation = property(_ForegroundSumDeviation__getter, _ForegroundSumDeviation__setter) |
| | Foreground sum standard deviation.
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| | BackgroundSumAverage = property(_BackgroundSumAverage__getter, _BackgroundSumAverage__setter) |
| | Background sum average.
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| | BackgroundSumDeviation = property(_BackgroundSumDeviation__getter, _BackgroundSumDeviation__setter) |
| | Background sum standard deviation.
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| | CorrelationAverage = property(_CorrelationAverage__getter, _CorrelationAverage__setter) |
| | Correlation average.
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| | CorrelationDeviation = property(_CorrelationDeviation__getter, _CorrelationDeviation__setter) |
| | Correlation standard deviation.
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Holds all information related to a single character, such as nominal and average position, reference quality indicators,... During the learning phases, it also keeps the list of its constituent blobs.
Remarks:
The statistics available for each character are the average, standard deviation (unbiased), minimum and maximum computed on the corresponding parameters for all images for which eVision.EOCV.UpdateStatistics has been invoked after inspection. The average is only available when at least one set of results has been accumulated. The standard deviation is only available when at least two sets of results have been accumulated.
License(s): EasyOCV
- Deprecated
- Deprecated in version 26.2. Scheduled to be removed in version 27.6.
1.17.0