Enumeration IntermediateResultUnitType
IntermediateResultUnitType defines different types of intermediate results generated or expected to be generated during image processing.
- Objective-C
- Swift
typedef NS_OPTIONS(NSUInteger, DSIntermediateResultUnitType) { /** No intermediate result. */ DSIntermediateResultUnitTypeNull = 0, /** A scaled full-color image. */ DSIntermediateResultUnitTypeScaledColourImage = 1, /** A color image that has been scaled down for efficiency. */ DSIntermediateResultUnitTypeScaledDownColourImage = 1 << 1, /** A grayscale image derived from the original input. */ DSIntermediateResultUnitTypeGrayscaleImage = 1 << 2, /** A grayscale image that has undergone transformation. */ DSIntermediateResultUnitTypeTransformedGrayscaleImage = 1 << 3, /** A grayscale image enhanced for further processing. */ DSIntermediateResultUnitTypeEnhancedGrayscaleImage = 1 << 4, /** Regions pre-detected as potentially relevant for further analysis. */ DSIntermediateResultUnitTypePredetectedRegions = 1 << 5, /** A binary (black and white) image. */ DSIntermediateResultUnitTypeBinaryImage = 1 << 6, /** Results from detecting textures within the image. */ DSIntermediateResultUnitTypeTextureDetectionResult = 1 << 7, /** A grayscale image with textures removed to enhance subject details like text or barcodes. */ DSIntermediateResultUnitTypeTextureRemovedGrayscaleImage = 1 << 8, /** A binary image with textures removed, useful for clear detection of subjects without background noise. */ DSIntermediateResultUnitTypeTextureRemovedBinaryImage = 1 << 9, /** Detected contours within the image, which can help in identifying shapes and objects. */ DSIntermediateResultUnitTypeContours = 1 << 10, /** Detected line segments, useful in structural analysis of the image content. */ DSIntermediateResultUnitTypeLineSegments = 1 << 11, /** Identified text zones, indicating areas with potential textual content. */ DSIntermediateResultUnitTypeTextZones = 1 << 12, /** A binary image with text regions removed. */ DSIntermediateResultUnitTypeTextRemovedBinaryImage = 1 << 13, /** Zones identified as potential barcode areas, aiding in focused barcode detection. */ DSIntermediateResultUnitTypeCandidateBarcodeZones = 1 << 14, /** Barcodes that have been localized but not yet decoded. */ DSIntermediateResultUnitTypeLocalizedBarcodes = 1 << 15, /** Barcode images scaled up or down for improving the speed, readability or decoding accuracy. */ DSIntermediateResultUnitTypeScaledBarcodeImage = 1 << 16, /** Images of barcodes processed to resist deformation and improve decoding success. */ DSIntermediateResultUnitTypeDeformationResistedBarcodeImage = 1 << 17, /** Barcode images that have been complemented. */ DSIntermediateResultUnitTypeComplementedBarcodeImage = 1 << 18, /** Successfully decoded barcodes. */ DSIntermediateResultUnitTypeDecodedBarcodes = 1 << 19, /** Detected long lines. */ DSIntermediateResultUnitTypeLongLines = 1 << 20, /** Detected corners within the image. */ DSIntermediateResultUnitTypeCorners = 1 << 21, /** Candidate edges identified as potential components of quadrilaterals. */ DSIntermediateResultUnitTypeCandidateQuadEdges = 1 << 22, /** Successfully detected quadrilaterals. */ DSIntermediateResultUnitTypeDetectedQuads = 1 << 23, /** Text lines that have been localized in preparation for recognition. */ DSIntermediateResultUnitTypeLocalizedTextLines = 1 << 24, /** Successfully recognized text lines. */ DSIntermediateResultUnitTypeRecognizedTextLines = 1 << 25, /** Successfully deskewed images. */ DSIntermediateResultUnitTypeDeskewedImages = 1 << 26, /** Detected short lines. */ DSIntermediateResultUnitTypeShortLines = 1 << 27, /** Recognized raw text lines. */ DSIntermediateResultUnitTypeRawTextLines = 1 << 28, /**Detected logic lines.*/ DSIntermediateResultUnitTypeLogicLines = 1 << 29, /** Successfully enhanced images. */ DSIntermediateResultUnitTypeEnhancedImages = 1 << 30, /** A mask to select all types of intermediate results. */ DSIntermediateResultUnitTypeAll = 0xFFFFFFFFFFFFFFFF };struct IntermediateResultUnitType: OptionSet { let rawValue: Int /** No intermediate result. */ static let null = IntermediateResultUnitType(rawValue: 0) /** A scaled full-color image. */ static let scaledColourImage = IntermediateResultUnitType(rawValue: 1 << 0) /** A color image that has been scaled down for efficiency. */ static let scaledDownColourImage = IntermediateResultUnitType(rawValue: 1 << 1) /** A grayscale image derived from the original input. */ static let grayscaleImage = IntermediateResultUnitType(rawValue: 1 << 2) /** A grayscale image that has undergone transformation. */ static let transformedGrayscaleImage = IntermediateResultUnitType(rawValue: 1 << 3) /** A grayscale image enhanced for further processing. */ static let enhancedGrayscaleImage = IntermediateResultUnitType(rawValue: 1 << 4) /** Regions pre-detected as potentially relevant for further analysis. */ static let predetectedRegions = IntermediateResultUnitType(rawValue: 1 << 5) /** A binary (black and white) image. */ static let binaryImage = IntermediateResultUnitType(rawValue: 1 << 6) /** Results from detecting textures within the image. */ static let textureDetectionResult = IntermediateResultUnitType(rawValue: 1 << 7) /** A grayscale image with textures removed to enhance subject details like text or barcodes. */ static let textureRemovedGrayscaleImage = IntermediateResultUnitType(rawValue: 1 << 8) /** A binary image with textures removed, useful for clear detection of subjects without background noise. */ static let textureRemovedBinaryImage = IntermediateResultUnitType(rawValue: 1 << 9) /** Detected contours within the image, which can help in identifying shapes and objects. */ static let contours = IntermediateResultUnitType(rawValue: 1 << 10) /** Detected line segments, useful in structural analysis of the image content. */ static let lineSegments = IntermediateResultUnitType(rawValue: 1 << 11) /** Identified text zones, indicating areas with potential textual content. */ static let textZones = IntermediateResultUnitType(rawValue: 1 << 12) /** A binary image with text regions removed. */ static let textRemovedBinaryImage = IntermediateResultUnitType(rawValue: 1 << 13) /** Zones identified as potential barcode areas, aiding in focused barcode detection. */ static let candidateBarcodeZones = IntermediateResultUnitType(rawValue: 1 << 14) /** Barcodes that have been localized but not yet decoded. */ static let localizedBarcodes = IntermediateResultUnitType(rawValue: 1 << 15) /** Barcode images scaled up or down for improving speed, readability or decoding accuracy. */ static let scaledBarcodeImage = IntermediateResultUnitType(rawValue: 1 << 16) /** Images of barcodes processed to resist deformation and improve decoding success. */ static let deformationResistedBarcodeImage = IntermediateResultUnitType(rawValue: 1 << 17) /** Barcode images that have been complemented. */ static let complementedBarcodeImage = IntermediateResultUnitType(rawValue: 1 << 18) /** Successfully decoded barcodes. */ static let decodedBarcodes = IntermediateResultUnitType(rawValue: 1 << 19) /** Detected long lines. */ static let longLines = IntermediateResultUnitType(rawValue: 1 << 20) /** Detected corners within the image. */ static let corners = IntermediateResultUnitType(rawValue: 1 << 21) /** Candidate edges identified as potential components of quadrilaterals. */ static let candidateQuadEdges = IntermediateResultUnitType(rawValue: 1 << 22) /** Successfully detected quadrilaterals. */ static let detectedQuads = IntermediateResultUnitType(rawValue: 1 << 23) /** Text lines that have been localized in preparation for recognition. */ static let localizedTextLines = IntermediateResultUnitType(rawValue: 1 << 24) /** Successfully recognized text lines. */ static let recognizedTextLines = IntermediateResultUnitType(rawValue: 1 << 25) /** Successfully deskewed images. */ static let deskewedImages = IntermediateResultUnitType(rawValue: 1 << 26) /** Detected short lines. */ static let shortLines = IntermediateResultUnitType(rawValue: 1 << 27) /** Recognized raw text lines. */ rawTextLines = IntermediateResultUnitType(rawValue: 1 << 28) /**Detected logic lines.*/ logicLines = IntermediateResultUnitType(rawValue: 1 << 29) /** Successfully enhanced images. */ enhancedImages = IntermediateResultUnitType(rawValue: 1 << 30) /** A mask to select all types of intermediate results. */ static let all = 0xFFFFFFFFFFFFFFFF }
Yes
No