AMD RPP Extension API

AMD RPP Extension API#

MIVisionX: Extension: AMD RPP Extension API

AMD OpenVX RPP Nodes Extension to use as the low-level library for rocAL. More...

Functions
SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_AbsoluteDifferencebatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Absolute Difference function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_AccumulatebatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Accumulate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_AccumulateSquaredbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Accumulate Squared function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_AccumulateWeightedbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_array alpha, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Accumulate Weighted function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_AddbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Add function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BitwiseANDbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Bitwise And function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BitwiseNOTbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Bitwise NOT function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BlendbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array alpha, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Blend function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BlurbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Blur function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BoxFilterbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Box Filter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_BrightnessbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array alpha, vx_array beta, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Brightness function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_CannyEdgeDetector (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array max, vx_array min, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Canny Edge Detector function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ChannelCombinebatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pSrc3, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Channel Combine function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ChannelExtractbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array extractChannelNumber, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Channel Extract function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ColorTemperaturebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array adjustmentValue, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Color Temperature function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ColorTwistbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array alpha, vx_array beta, vx_array hue, vx_array sat, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Color Twist function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ContrastbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array min, vx_array max, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Contrast function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_CopybatchPD (vx_graph graph, vx_image pSrc, vx_image pDst)
	[Graph] Creates a RPP Copy function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_CropMirrorNormalizebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array x1, vx_array y1, vx_array mean, vx_array std_dev, vx_array flip, vx_scalar chnShift, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Crop Mirror Normalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_CropPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array x1, vx_array y1, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Crop function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_CustomConvolutionbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernel, vx_array kernelWidth, vx_array kernelHeight, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Custom Convolution Normalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_DataObjectCopybatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Data Object Copy function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_DilatebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Dilate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ErodebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Erade function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ExclusiveORbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP ExclusiveORbatchPD function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ExposurebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array exposureValue, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Exposure function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_FastCornerDetector (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array noOfPixels, vx_array threshold, vx_array nonMaxKernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Fast Corner Detector function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_FisheyebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Fish Eye function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_FlipbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array flipAxis, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Flip function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_FogbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array fogValue, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Fog function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_GammaCorrectionbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array gamma, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Gamma Correction function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_GaussianFilterbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array stdDev, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Gaussian Filter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_GaussianImagePyramidbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array stdDev, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Gaussian Image Pyramid function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_HarrisCornerDetector (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array gaussianKernelSize, vx_array stdDev, vx_array kernelSize, vx_array kValue, vx_array threshold, vx_array nonMaxKernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP HarrisCornerDetector function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_Histogram (vx_graph graph, vx_image pSrc, vx_array outputHistogram, vx_scalar bins)
	[Graph] Creates a RPP Gaussian Image Pyramid function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_HistogramBalancebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Histogram Balance function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_HistogramEqualizebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Histogram Equalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_HuebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array hueShift, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Gamma Correction function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_InclusiveORbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Inclusive Or function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_JitterbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Jitter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_LaplacianImagePyramid (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array stdDev, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Laplacian Image Pyramid function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_LensCorrectionbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array strength, vx_array zoom, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Lens Correction function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_LocalBinaryPatternbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Local Binary Pattern function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_LookUpTablebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array lutPtr, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Lookup Table function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MagnitudebatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Magnitude function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MaxbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Max function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MeanStddev (vx_graph graph, vx_image pSrc, vx_scalar mean, vx_scalar stdDev)
	[Graph] Creates a RPP Mean Standard Deviation function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MedianFilterbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Median Filter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MinbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Min function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MinMaxLoc (vx_graph graph, vx_image pSrc, vx_scalar min, vx_scalar max, vx_scalar minLoc, vx_scalar maxLoc)
	[Graph] Creates a RPP Min Max Location function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_MultiplybatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Multiply function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_NoisebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array noiseProbability, vx_uint32 nbatchSize)
	[Graph] Creates a RPP NoisebatchPD function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_NonLinearFilterbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP NonLinearFilterbatchPD function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_NonMaxSupressionbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array kernelSize, vx_uint32 nbatchSize)
	[Graph] Creates a RPP NonMaxSupressionbatchPD function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_NopbatchPD (vx_graph graph, vx_image pSrc, vx_image pDst)
	[Graph] Creates a RPP NOP function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_PhasebatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Phase function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_PixelatebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Pixelate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_RainbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array rainValue, vx_array rainWidth, vx_array rainHeight, vx_array rainTransperancy, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Rain function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_RandomCropLetterBoxbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array x1, vx_array y1, vx_array x2, vx_array y2, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Random Crop Letter Box function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_RandomShadowbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array x1, vx_array y1, vx_array x2, vx_array y2, vx_array numberOfShadows, vx_array maxSizeX, vx_array maxSizeY, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Shadow function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_remap (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array rowRemap, vx_array colRemap, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Remap function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ResizebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Resize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ResizeCropbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array x1, vx_array y1, vx_array x2, vx_array y2, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Resize Crop function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ResizeCropMirrorPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array x1, vx_array y1, vx_array x2, vx_array y2, vx_array mirrorFlag, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Resize Crop Mirror function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ResizeMirrorNormalizeTensor (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array mean, vx_array std_dev, vx_array flip, vx_scalar chnShift, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Resize Mirror Normalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_RotatebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array angle, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Rotate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_SaturationbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array saturationFactor, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Saturation function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ScalebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array percentage, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Scale function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_SnowbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array snowValue, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Snow function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_SobelbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array sobelType, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Sobel function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_SubtractbatchPD (vx_graph graph, vx_image pSrc1, vx_image pSrc2, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Subtract function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_TensorAdd (vx_graph graph, vx_array pSrc1, vx_array pSrc2, vx_array pDst, vx_scalar tensorDimensions, vx_array tensorDimensionValues)
	[Graph] Creates a RPP Tensor Add function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_TensorLookup (vx_graph graph, vx_array pSrc, vx_array pDst, vx_array lutPtr, vx_scalar tensorDimensions, vx_array tensorDimensionValues)
	[Graph] Creates a RPP Tensor Lookup function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_TensorMatrixMultiply (vx_graph graph, vx_array pSrc1, vx_array pSrc2, vx_array pDst, vx_array tensorDimensionValues1, vx_array tensorDimensionValues2)
	[Graph] Creates a RPP Tensor Matrix Multiply function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_TensorMultiply (vx_graph graph, vx_array pSrc1, vx_array pSrc2, vx_array pDst, vx_scalar tensorDimensions, vx_array tensorDimensionValues)
	[Graph] Creates a RPP Tensor Multiply function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_TensorSubtract (vx_graph graph, vx_array pSrc1, vx_array pSrc2, vx_array pDst, vx_scalar tensorDimensions, vx_array tensorDimensionValues)
	[Graph] Creates a RPP Tensor Subtract function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_ThresholdingbatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array min, vx_array max, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Threshold function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_VignettebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array stdDev, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Max function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_WarpAffinebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array affine, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Warp Affine function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_WarpPerspectivebatchPD (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_array perspective, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Warp Perspective function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_SequenceRearrangebatchPD (vx_graph graph, vx_image pSrc, vx_image pDst, vx_array newOrder, vx_uint32 newSequenceLength, vx_uint32 sequenceLength, vx_uint32 sequenceCount)
	[Graph] Creates a RPP Sequence Rearrange function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtrppNode_Resizetensor (vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_int32 interpolation_type, vx_uint32 nbatchSize)
	[Graph] Creates a RPP Resize Tensor function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppBrightness (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAlpha, vx_array pBeta, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Brightness function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppCopy (vx_graph graph, vx_tensor pSrc, vx_tensor pDst)
	[Graph] Creates a Copy function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppCropMirrorNormalize (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pMultiplier, vx_array pOffset, vx_array pMirror, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a CropMirrorNormalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppNop (vx_graph graph, vx_tensor pSrc, vx_tensor pDst)
	[Graph] Creates a Nop function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResize (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pDstWidth, vx_array pDstHeight, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Resize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppSequenceRearrange (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_array pNewOrder, vx_scalar layout)
	[Graph] Creates a SequenceRearrange function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppBlend (vx_graph graph, vx_tensor pSrc1, vx_tensor pSrc2, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pShift, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Blend function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppBlur (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pKernelSize, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Blur function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppColorTemperature (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAdjustValue, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ColorTemperature function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppColorTwist (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAlpha, vx_array pBeta, vx_array pHue, vx_array pSat, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ColorTwist function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppContrast (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pContrastFactor, vx_array pContrastCenter, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Contrast function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppCrop (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Crop function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppExposure (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pExposureFactor, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Exposure function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppFishEye (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a FishEye function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppFlip (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pHflag, vx_array pVflag, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Flip function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppFog (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pFogValue, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Fog function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppGammaCorrection (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pGamma, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a GammaCorrection function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppGlitch (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pXoffsetR, vx_array pYoffsetR, vx_array pXoffsetG, vx_array pYoffsetG, vx_array pXoffsetB, vx_array pYoffsetB, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Glitch function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppHue (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pHueShift, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Hue function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppJitter (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pKernelSize, vx_scalar seed, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Jitter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppLensCorrection (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pStrength, vx_array pZoom, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a LensCorrection function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppNoise (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pNoiseProb, vx_array pSaltProb, vx_array pSaltValue, vx_array pPepperValue, vx_scalar seed, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Noise function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppRain (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pRainValue, vx_array pRainWidth, vx_array pRainHeight, vx_array pRainTransperancy, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Noise function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResizeCrop (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pCropTensor, vx_tensor pDst, vx_array pDstWidth, vx_array pDstHeight, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ResizeCrop function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResizeCropMirror (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pDstWidth, vx_array pDstHeight, vx_array pMirror, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ResizeCropMirror function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResizeMirrorNormalize (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pDstWidth, vx_array pDstHeight, vx_scalar interpolationType, vx_array pMean, vx_array pStdDev, vx_array pMirror, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ResizeMirrorNormalize function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppRotate (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAngle, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Rotate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppSaturation (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pSaturationFactor, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Saturation function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppSnow (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pSnowValue, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Snow function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppPixelate (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Pixelate function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppVignette (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pStdDev, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Vignette function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppWarpAffine (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAffineArray, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Warp-Affine function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppPreemphasisFilter (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pPreemphCoeff, vx_scalar borderType)
	[Graph] Applies preemphasis filter to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppSpectrogram (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pDstRoi, vx_array windowFunction, vx_scalar centerWindow, vx_scalar reflectPadding, vx_scalar spectrogramLayout, vx_scalar power, vx_scalar nfft, vx_scalar windowLength, vx_scalar windowStep)
	[Graph] Produces a spectrogram from a 1D signal. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppDownmix (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_tensor srcRoi)
	[Graph] Applies downmixing to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppToDecibels (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar cutOffDB, vx_scalar multiplier, vx_scalar referenceMagnitude, vx_scalar inputLayout, vx_scalar outputLayout)
	[Graph] Applies to_decibels augmentation to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResample (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_tensor pSrcRoi, vx_tensor pDstRoi, vx_array pInRateTensor, vx_tensor pOutRateTensor, vx_scalar quality)
	[Graph] Applies resample augmentation to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppTensorMulScalar (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_scalar scalarValue)
	[Graph] Multiples a tensor and a scalar and returns the output. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppTensorAddTensor (vx_graph graph, vx_tensor pSrc1, vx_tensor pSrc2, vx_tensor pDst, vx_tensor pSrcRoi, vx_tensor pDstRoi)
	[Graph] Adds two tensors and returns the output. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppNonSilentRegionDetection (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst1, vx_tensor pDst2, vx_scalar cutOffDB, vx_scalar referencePower, vx_scalar windowLength, vx_scalar resetInterval)
	[Graph] Performs leading and trailing silence detection to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppSlice (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pDstRoi, vx_tensor pAnchor, vx_tensor pShape, vx_array pFillValue, vx_scalar policy, vx_scalar inputLayout, vx_scalar roiType)
	[Graph] Slice's the input tensor using anchors and shapes values More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppNormalize (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pDstRoi, vx_scalar axis_mask, vx_array pMean, vx_array pStddev, vx_scalar computeMeanAndStddev, vx_scalar scale, vx_scalar shift, vx_scalar inputLayout, vx_scalar roiType)
	[Graph] Applies mean-stddev normalization to the input tensor. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppMelFilterBank (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pDstRoi, vx_scalar freqHigh, vx_scalar freqLow, vx_scalar melFormula, vx_scalar nfilter, vx_scalar normalize, vx_scalar sampleRate, vx_scalar inputLayout, vx_scalar outputLayout)
	[Graph] Produces a mel-spectrogram from spectrogram on applying a bank of triangular filters More...

Detailed Description

AMD OpenVX RPP Nodes Extension to use as the low-level library for rocAL.

Function Documentation

◆ vxExtRppBlend()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppBlend	(	vx_graph	graph,
		vx_tensor	pSrc1,
		vx_tensor	pSrc2,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pShift,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Blend function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrc2	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pShift	The input array in `VX_TYPE_FLOAT32` format containing the shift data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppBlur()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppBlur	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pKernelSize,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Blur function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input in xywh/ltrb format.`
[out]	pDst	`The output tensor in VX_TYPE_UINT8 format data.`
[in]	pKernelSize	`The input array in VX_TYPE_UINT32 format containing the kernel size data.`
[in]	inputLayout	`The input layout in VX_TYPE_INT32 denotes the layout of input tensor.`
[in]	outputLayout	`The output layout in VX_TYPE_INT32 denotes the layout of output tensor.`
[in]	roiType	`The type of roi VX_TYPE_INT32 denotes whether source roi is of XYWH/LTRB type.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppBrightness()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppBrightness	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAlpha,
		vx_array	pBeta,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Brightness function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pAlpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	pBeta	The input array in `VX_TYPE_FLOAT32` format containing the beta data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppColorTemperature()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppColorTemperature	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAdjustValue,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ColorTemperature function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pAdjustValue	The input array in `VX_TYPE_FLOAT32` format containing the adjustment value data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppColorTwist()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppColorTwist	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAlpha,
		vx_array	pBeta,
		vx_array	pHue,
		vx_array	pSat,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ColorTwist function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pAlpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	pBeta	The input array in `VX_TYPE_FLOAT32` format containing the beta data.
[in]	pHue	The input array in `VX_TYPE_FLOAT32` format containing the hue data.
[in]	pSat	The input array in `VX_TYPE_FLOAT32` format containing the saturation data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppContrast()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppContrast	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pContrastFactor,
		vx_array	pContrastCenter,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Contrast function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pContrastFactor	The input array in `VX_TYPE_FLOAT32` format containing the contrast factor data.
[in]	pContrastCenter	The input array in `VX_TYPE_FLOAT32` format containing the contrast center data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppCopy()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppCopy	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst
	)

[Graph] Creates a Copy function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor data.
[out]	pDst	The output tensor data.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppCrop()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppCrop	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Crop function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppCropMirrorNormalize()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppCropMirrorNormalize	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pMultiplier,
		vx_array	pOffset,
		vx_array	pMirror,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a CropMirrorNormalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pMultiplier	The input array in `VX_TYPE_FLOAT32` format containing the multiplier data.
[in]	pOffset	The input array in `VX_TYPE_FLOAT32` format containing the offset data.
[in]	pMirror	The input array in `VX_TYPE_INT32` format containing the flip data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppDownmix()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppDownmix	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_tensor	srcRoi
	)

[Graph] Applies downmixing to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[out]	pDst	The output tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppExposure()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppExposure	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pExposureFactor,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Exposure function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pExposureFactor	The input array in `VX_TYPE_FLOAT32` format containing the exposure factor data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppFishEye()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppFishEye	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a FishEye function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppFlip()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppFlip	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pHflag,
		vx_array	pVflag,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Flip function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pHflag	The input array in `VX_TYPE_UINT32` format containing the horizontal flag data.
[in]	pVflag	The input array in `VX_TYPE_UINT32` format containing the vertical flag data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppFog()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppFog	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pFogValue,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Fog function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	pFogValue	The input array in `VX_TYPE_FLOAT32` format containing the fog value data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppGammaCorrection()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppGammaCorrection	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pGamma,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a GammaCorrection function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pGamma	The input array in `VX_TYPE_FLOAT32` format containing the gamma data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppGlitch()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppGlitch	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pXoffsetR,
		vx_array	pYoffsetR,
		vx_array	pXoffsetG,
		vx_array	pYoffsetG,
		vx_array	pXoffsetB,
		vx_array	pYoffsetB,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Glitch function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pXoffsetR	The input array in `VX_TYPE_UINT32` format containing the x offset for r-channel data.
[in]	pYoffsetR	The input array in `VX_TYPE_UINT32` format containing the y offset for r-channel data.
[in]	pXoffsetG	The input array in `VX_TYPE_UINT32` format containing the x offset for g-channel data.
[in]	pYoffsetG	The input array in `VX_TYPE_UINT32` format containing the y offset for g-channel data.
[in]	pXoffsetB	The input array in `VX_TYPE_UINT32` format containing the x offset for b-channel data.
[in]	pYoffsetB	The input array in `VX_TYPE_UINT32` format containing the y offset for b-channel data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppHue()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppHue	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pHueShift,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Hue function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pHueShift	The input array in `VX_TYPE_FLOAT32` format containing the hue shift data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppJitter()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppJitter	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pKernelSize,
		vx_scalar	seed,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Jitter function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pKernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	seed	The input scalar in `VX_TYPE_UINT32` contains the seed value.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppLensCorrection()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppLensCorrection	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pStrength,
		vx_array	pZoom,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a LensCorrection function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	pStrength	The input array in `VX_TYPE_FLOAT32` format containing the strength value data.
[in]	pZoom	The input array in `VX_TYPE_FLOAT32` format containing the zoom value data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppMelFilterBank()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppMelFilterBank	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pDstRoi,
		vx_scalar	freqHigh,
		vx_scalar	freqLow,
		vx_scalar	melFormula,
		vx_scalar	nfilter,
		vx_scalar	normalize,
		vx_scalar	sampleRate,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout
	)

[Graph] Produces a mel-spectrogram from spectrogram on applying a bank of triangular filters

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input in xywh (w- samples, h - channels) format.`
[out]	pDst	`The output tensor (begin) in VX_TYPE_FLOAT32 format data.`
[in]	pDstRoi	`The input tensor of batch size in unsigned int containing the roi values for the input in xywh (w- samples, h - channels) format.`
[in]	freqHigh	`The input scalar in VX_TYPE_FLOAT32 format containing the maximum frequency.`
[in]	freqLow	`The input scalar in VX_TYPE_FLOAT32 format containing the minimum frequency.`
[in]	melFormula	`The input scalar in VX_TYPE_INT32 format indicates the formula used to convert frequencies from hertz to mel and vice versa.`
[in]	nfilter	`The input scalar in VX_TYPE_INT32 format containing the number of mel filters.`
[in]	normalize	`The input scalar in VX_TYPE_BOOL format to determine weather to normalize the triangular filter weights by the width of the frequecny bands.`
[in]	sampleRate	`The input scalar in VX_TYPE_FLOAT32 format containing the sampling rate of the audio data.`
[in]	inputLayout	`The input layout in VX_TYPE_INT32 denotes the layout of input tensor.`
[in]	outputLayout	`The output layout in VX_TYPE_INT32 denotes the layout of output tensor.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_AbsoluteDifferencebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_AbsoluteDifferencebatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Absolute Difference function node.

RPP VX_API_ENTRY C Function NODE

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_AccumulatebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_AccumulatebatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Accumulate function node.

Parameters

[in]	graph	The handle to the graph.
[in,out]	pSrc1	The bidirectional image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data that acts as the first input and output.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_AccumulateSquaredbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_AccumulateSquaredbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Accumulate Squared function node.

Parameters

[in]	graph	The handle to the graph.
[in,out]	pSrc	The bidirectional image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data that acts as the input and output.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_AccumulateWeightedbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_AccumulateWeightedbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_array	alpha,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Accumulate Weighted function node.

Parameters

[in]	graph	The handle to the graph.
[in,out]	pSrc1	The bidirectional image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data that acts as the first input and output.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[in]	alpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_AddbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_AddbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Add function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BitwiseANDbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BitwiseANDbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Bitwise And function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BitwiseNOTbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BitwiseNOTbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Bitwise NOT function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BlendbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BlendbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	alpha,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Blend function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	alpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BlurbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BlurbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Blur function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BoxFilterbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BoxFilterbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Box Filter function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_BrightnessbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_BrightnessbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	alpha,
		vx_array	beta,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Brightness function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	alpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	beta	The input array in `VX_TYPE_FLOAT32` format containing the beta data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_CannyEdgeDetector()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CannyEdgeDetector	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	max,
		vx_array	min,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Canny Edge Detector function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	max	The input array in `unsigned char` format containing the max data.
[in]	min	The input array in `unsigned char` format containing the min data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ChannelCombinebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ChannelCombinebatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pSrc3,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Channel Combine function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[in]	pSrc3	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ChannelExtractbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ChannelExtractbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	extractChannelNumber,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Channel Extract function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	extractChannelNumber	The input array in `VX_TYPE_UINT32` format containing the data for channel number to be extracted.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ColorTemperaturebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ColorTemperaturebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	adjustmentValue,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Color Temperature function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	adjustmentValue	The input array in `VX_TYPE_UINT32` format containing the data for the adjustment value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ColorTwistbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ColorTwistbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	alpha,
		vx_array	beta,
		vx_array	hue,
		vx_array	sat,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Color Twist function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	alpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha data.
[in]	beta	The input array in `VX_TYPE_FLOAT32` format containing the beta data.
[in]	hue	The input array in `VX_TYPE_FLOAT32` format containing the hue data.
[in]	sat	The input array in `VX_TYPE_FLOAT32` format containing the saturation data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ContrastbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ContrastbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	min,
		vx_array	max,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Contrast function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	min	The input array in `VX_TYPE_UINT32` format containing the min data.
[in]	max	The input array in `VX_TYPE_UINT32` format containing the max data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_CopybatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CopybatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_image	pDst
	)

[Graph] Creates a RPP Copy function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_CropMirrorNormalizebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CropMirrorNormalizebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	x1,
		vx_array	y1,
		vx_array	mean,
		vx_array	std_dev,
		vx_array	flip,
		vx_scalar	chnShift,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Crop Mirror Normalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	mean	The input array of batch size in `VX_TYPE_FLOAT` containing the mean value.
[in]	std_dev	The input array of batch size in `VX_TYPE_FLOAT` containing the standard deviation value.
[in]	flip	The input array of batch size in `VX_TYPE_UINT32` containing the flip value.
[in]	chnShift	An input scalar value of type `VX_TYPE_UINT32` containing the channel shift value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_CropPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CropPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	x1,
		vx_array	y1,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Crop function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_CustomConvolutionbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CustomConvolutionbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernel,
		vx_array	kernelWidth,
		vx_array	kernelHeight,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Custom Convolution Normalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernel	The input array of mxn size in `VX_TYPE_ARRAY` containing the data for convolution kernel.
[in]	kernelWidth	The input array in `VX_TYPE_UINT32` containing the kernel width data.
[in]	kernelHeight	The input array in `VX_TYPE_UINT32` containing the kernel height data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_DataObjectCopybatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_DataObjectCopybatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Data Object Copy function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_DilatebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_DilatebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Dilate function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ErodebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ErodebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Erade function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ExclusiveORbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ExclusiveORbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP ExclusiveORbatchPD function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ExposurebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ExposurebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	exposureValue,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Exposure function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	exposureValue	The input array in `VX_TYPE_FLOAT32` format containing the exposure value data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_FastCornerDetector()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_FastCornerDetector	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	noOfPixels,
		vx_array	threshold,
		vx_array	nonMaxKernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Fast Corner Detector function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	noOfPixels	The input array in `VX_TYPE_UINT32` format containing minimum number of contiguous pixel to detect a corner.
[in]	threshold	The input array of batch size in `VX_TYPE_UINT8` format containing the intensity-difference threshold for corners.
[in]	nonMaxKernelSize	The input array in `VX_TYPE_UINT32` format containing the nonmax suppression kernel size.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_FisheyebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_FisheyebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Fish Eye function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_FlipbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_FlipbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	flipAxis,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Flip function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	flipAxis	The input array in `VX_TYPE_FLOAT32` format containing the flip axis data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_FogbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_FogbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	fogValue,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Fog function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	fogValue	The input array in `VX_TYPE_FLOAT32` format containing the fog value data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_GammaCorrectionbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_GammaCorrectionbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	gamma,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Gamma Correction function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	gamma	The input array in `VX_TYPE_FLOAT32` format containing the gamma data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_GaussianFilterbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_GaussianFilterbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	stdDev,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Gaussian Filter function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	stdDev	The input array in `VX_TYPE_FLOAT32` format containing the standard deviation data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_GaussianImagePyramidbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_GaussianImagePyramidbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	stdDev,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Gaussian Image Pyramid function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	stdDev	The input array in `VX_TYPE_FLOAT32` format containing the standard deviation data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_HarrisCornerDetector()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_HarrisCornerDetector	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	gaussianKernelSize,
		vx_array	stdDev,
		vx_array	kernelSize,
		vx_array	kValue,
		vx_array	threshold,
		vx_array	nonMaxKernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP HarrisCornerDetector function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	gaussianKernelSize	The input array of batch size in `VX_TYPE_UINT32` format containing gaussian kernel size.
[in]	stdDev	The input array in `float` format containing the standard deviation data.
[in]	kernelSize	The input array of batch size in `VX_TYPE_UINT32` format containing the corner detection kernel size.
[in]	kValue	The input array in `VX_TYPE_FLOAT32` format containing the 'k' value.
[in]	threshold	The input array of batch size in `VX_TYPE_FLOAT32` format containing the threshold for corners.
[in]	nonMaxKernelSize	The input array in `VX_TYPE_UINT32` format containing the nonmax suppression kernel size.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_Histogram()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_Histogram	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	outputHistogram,
		vx_scalar	bins
	)

[Graph] Creates a RPP Gaussian Image Pyramid function node.

Parameters

[in]	graph	The handle to the graph.
[in,out]	pSrc	The bidirectional image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data that acts as the input and output..
[in]	outputHistogram	The input array of given size in `unsigned int` containing the output histogram data.
[in]	bins	The input scalar in `unsigned int` to set bins value.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_HistogramBalancebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_HistogramBalancebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Histogram Balance function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_HistogramEqualizebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_HistogramEqualizebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Histogram Equalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_HuebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_HuebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	hueShift,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Gamma Correction function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	hueShift	The input array in `VX_TYPE_FLOAT32` format containing the hue shift data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_InclusiveORbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_InclusiveORbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Inclusive Or function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_JitterbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_JitterbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Jitter function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_LaplacianImagePyramid()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_LaplacianImagePyramid	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	stdDev,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Laplacian Image Pyramid function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	stdDev	The input array in `float` format containing the standard deviation data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_LensCorrectionbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_LensCorrectionbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	strength,
		vx_array	zoom,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Lens Correction function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	strength	The input array in `VX_TYPE_FLOAT32` format containing the strength data.
[in]	zoom	The input array in `VX_TYPE_FLOAT32` format containing the zoom data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_LocalBinaryPatternbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_LocalBinaryPatternbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Local Binary Pattern function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_LookUpTablebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_LookUpTablebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	lutPtr,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Lookup Table function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	lutPtr	The input array in `unsigned char` format containing the strength data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MagnitudebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MagnitudebatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Magnitude function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MaxbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MaxbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Max function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MeanStddev()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MeanStddev	(	vx_graph	graph,
		vx_image	pSrc,
		vx_scalar	mean,
		vx_scalar	stdDev
	)

[Graph] Creates a RPP Mean Standard Deviation function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	mean	The output scalar of `VX_TYPE_FLOAT32` for the computed mean of the image.
[out]	stdDev	The output scalar of `VX_TYPE_FLOAT32` for the computed standard deviation of the image.

◆ vxExtrppNode_MedianFilterbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MedianFilterbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Median Filter function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MinbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MinbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Min function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MinMaxLoc()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MinMaxLoc	(	vx_graph	graph,
		vx_image	pSrc,
		vx_scalar	min,
		vx_scalar	max,
		vx_scalar	minLoc,
		vx_scalar	maxLoc
	)

[Graph] Creates a RPP Min Max Location function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	min	The output of type `VX_TYPE_UINT8` for the computed min.
[out]	max	The output of type `VX_TYPE_UINT8` for the computed max.
[out]	minLoc	The output of type `VX_TYPE_UINT32` for the index of the computed min.
[out]	maxLoc	The output of type `VX_TYPE_UINT32` for the index of the computed max.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_MultiplybatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_MultiplybatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Multiply function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_NoisebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NoisebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	noiseProbability,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP NoisebatchPD function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	noiseProbability	input array of batch size in `VX_TYPE_FLOAT32` containing the noise probability value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_NonLinearFilterbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NonLinearFilterbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP NonLinearFilterbatchPD function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors pre

◆ vxExtrppNode_NonMaxSupressionbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NonMaxSupressionbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	kernelSize,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP NonMaxSupressionbatchPD function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	kernelSize	The input array in `VX_TYPE_UINT32` format containing the kernel size data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors pre

◆ vxExtrppNode_NopbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NopbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_image	pDst
	)

[Graph] Creates a RPP NOP function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_PhasebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_PhasebatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Phase function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_PixelatebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_PixelatebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Pixelate function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_RainbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_RainbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	rainValue,
		vx_array	rainWidth,
		vx_array	rainHeight,
		vx_array	rainTransperancy,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Rain function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	rainValue	input array of batch size in `VX_TYPE_FLOAT32` containing the rain value.
[in]	rainWidth	input array of batch size in `VX_TYPE_UINT32` containing the rain width.
[in]	rainHeight	input array of batch size in `VX_TYPE_UINT32` containing the rain height.
[in]	rainTransperancy	input array of batch size in `VX_TYPE_FLOAT32` containing the rain transparency.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_RandomCropLetterBoxbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_RandomCropLetterBoxbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	x1,
		vx_array	y1,
		vx_array	x2,
		vx_array	y2,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Random Crop Letter Box function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	x2	The input array of batch size in `VX_TYPE_FLOAT` containing the end x-position for each image.
[in]	y2	The input array of batch size in `VX_TYPE_FLOAT` containing the end y-position for each image.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_RandomShadowbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_RandomShadowbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	x1,
		vx_array	y1,
		vx_array	x2,
		vx_array	y2,
		vx_array	numberOfShadows,
		vx_array	maxSizeX,
		vx_array	maxSizeY,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Shadow function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	x2	The input array of batch size in `VX_TYPE_FLOAT` containing the end x-position for each image.
[in]	y2	The input array of batch size in `VX_TYPE_FLOAT` containing the end y-position for each image.
[in]	numberOfShadows	The input array of batch size in `VX_TYPE_UINT32` containing number-of-shadows.
[in]	maxSizeX	The input array of batch size in `VX_TYPE_UINT32` containing max-shadow-width.
[in]	maxSizeY	The input array of batch size in `VX_TYPE_UINT32` containing max-shadow-height.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_remap()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_remap	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	rowRemap,
		vx_array	colRemap,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Remap function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	rowRemap	The input array of batch size in `VX_TYPE_UINT32` containing the row numbers for every pixel in the input.
[in]	colRemap	The input array of batch size in `VX_TYPE_UINT32` containing the column numbers for every pixel in the input.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ResizebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ResizebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Resize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ResizeCropbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ResizeCropbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	x1,
		vx_array	y1,
		vx_array	x2,
		vx_array	y2,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Resize Crop function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	x2	The input array of batch size in `VX_TYPE_FLOAT` containing the end x-position for each image.
[in]	y2	The input array of batch size in `VX_TYPE_FLOAT` containing the end y-position for each image.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ResizeCropMirrorPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ResizeCropMirrorPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	x1,
		vx_array	y1,
		vx_array	x2,
		vx_array	y2,
		vx_array	mirrorFlag,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Resize Crop Mirror function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	x1	The input array of batch size in `VX_TYPE_UINT32` containing the start x-position for each image.
[in]	y1	The input array of batch size in `VX_TYPE_UINT32t` containing the start y-position for each image.
[in]	x2	The input array of batch size in `VX_TYPE_FLOAT` containing the end x-position for each image.
[in]	y2	The input array of batch size in `VX_TYPE_FLOAT` containing the end y-position for each image.
[in]	mirrorFlag	The input array of batch size in `VX_TYPE_FLOAT` containing the mirror flag (true/false) for each image.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ResizeMirrorNormalizeTensor()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ResizeMirrorNormalizeTensor	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	mean,
		vx_array	std_dev,
		vx_array	flip,
		vx_scalar	chnShift,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Resize Mirror Normalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	mean	The input array of batch size in `VX_TYPE_FLOAT` containing the mean value.
[in]	std_dev	The input array of batch size in `VX_TYPE_FLOAT` containing the standard deviation value.
[in]	chnShift	An input scalar value of type `VX_TYPE_UINT32` containing the channel shift value.
[in]	flip	The input array of batch size in `VX_TYPE_FLOAT` containing the flip value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_Resizetensor()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_Resizetensor	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_int32	interpolation_type,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Resize Tensor function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	interpolation_type	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_RotatebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_RotatebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	angle,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Rotate function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	angle	input array of batch size in `VX_TYPE_FLOAT32` containing the angle of rotation.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_SaturationbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SaturationbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	saturationFactor,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Saturation function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	saturationFactor	input array of batch size in `VX_TYPE_FLOAT32` containing the saturation factor.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ScalebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ScalebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	percentage,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Scale function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	percentage	input array of batch size in `VX_TYPE_FLOAT32` containing the scaling percentage value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_SequenceRearrangebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SequenceRearrangebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_image	pDst,
		vx_array	newOrder,
		vx_uint32	newSequenceLength,
		vx_uint32	sequenceLength,
		vx_uint32	sequenceCount
	)

[Graph] Creates a RPP Sequence Rearrange function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	newOrder	The input array of batch size in `VX_TYPE_UINT32` containing the new order for the output.
[in]	newSequenceLength	The input scalar in `VX_TYPE_UINT32` containing the new sequence length.
[in]	sequenceLength	The input scalar in `VX_TYPE_UINT32` containing the original sequence length.
[in]	sequenceCount	The input scalar in `VX_TYPE_UINT32` containing the sequence count.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_SnowbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SnowbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	snowValue,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Snow function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	snowValue	input array of batch size in `VX_TYPE_FLOAT32` containing the snow value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_SobelbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SobelbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	sobelType,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Sobel function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	sobelType	input array of batch size in `VX_TYPE_UINT32` containing the sobel type value.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_SubtractbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SubtractbatchPD	(	vx_graph	graph,
		vx_image	pSrc1,
		vx_image	pSrc2,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Subtract function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_TensorAdd()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_TensorAdd	(	vx_graph	graph,
		vx_array	pSrc1,
		vx_array	pSrc2,
		vx_array	pDst,
		vx_scalar	tensorDimensions,
		vx_array	tensorDimensionValues
	)

[Graph] Creates a RPP Tensor Add function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	tensorDimensions	The input scalar in `VX_TYPE_UINT32` to set number of dimensions in tensor.
[in]	tensorDimensionValues	The input array in `VX_TYPE_UINT8` of size tensorDimensions length containing size of each dimension.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_TensorLookup()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_TensorLookup	(	vx_graph	graph,
		vx_array	pSrc,
		vx_array	pDst,
		vx_array	lutPtr,
		vx_scalar	tensorDimensions,
		vx_array	tensorDimensionValues
	)

[Graph] Creates a RPP Tensor Lookup function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	lutPtr	The input array in `VX_TYPE_UINT8` of batch size containing look-up table for each image.
[in]	tensorDimensions	The input scalar in `VX_TYPE_UINT32` to set number of dimensions in tensor.
[in]	tensorDimensionValues	The input array in `VX_TYPE_UINT8` of size tensorDimensions length containing size of each dimension.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_TensorMatrixMultiply()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_TensorMatrixMultiply	(	vx_graph	graph,
		vx_array	pSrc1,
		vx_array	pSrc2,
		vx_array	pDst,
		vx_array	tensorDimensionValues1,
		vx_array	tensorDimensionValues2
	)

[Graph] Creates a RPP Tensor Matrix Multiply function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	tensorDimensionValues1	The input array in `VX_TYPE_UINT8` of containing dimensions of first tensor.
[in]	tensorDimensionValues2	The input array in `VX_TYPE_UINT8` of containing dimensions of second tensor.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_TensorMultiply()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_TensorMultiply	(	vx_graph	graph,
		vx_array	pSrc1,
		vx_array	pSrc2,
		vx_array	pDst,
		vx_scalar	tensorDimensions,
		vx_array	tensorDimensionValues
	)

[Graph] Creates a RPP Tensor Multiply function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	tensorDimensions	The input scalar in `VX_TYPE_UINT32` to set number of dimensions in tensor.
[in]	tensorDimensionValues	The input array in `VX_TYPE_UINT8` of size tensorDimensions length containing size of each dimension.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_TensorSubtract()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_TensorSubtract	(	vx_graph	graph,
		vx_array	pSrc1,
		vx_array	pSrc2,
		vx_array	pDst,
		vx_scalar	tensorDimensions,
		vx_array	tensorDimensionValues
	)

[Graph] Creates a RPP Tensor Subtract function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	pSrc2	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[out]	pDst	The output image data.
[in]	tensorDimensions	The input scalar in `VX_TYPE_UINT32` to set number of dimensions in tensor.
[in]	tensorDimensionValues	The input array in `VX_TYPE_UINT8` of size tensorDimensions length containing size of each dimension.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_ThresholdingbatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ThresholdingbatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	min,
		vx_array	max,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Threshold function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	min	The input array in `unsigned char` format containing the min data.
[in]	max	The input array in `unsigned char` format containing the max data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_VignettebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_VignettebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	stdDev,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Max function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	stdDev	The input array in `VX_TYPE_FLOAT32` format containing the standard deviation data.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_WarpAffinebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_WarpAffinebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	affine,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Warp Affine function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	affine	The input array of batch size in `float` containing values defining the affine-transformation matrix.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtrppNode_WarpPerspectivebatchPD()

SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_WarpPerspectivebatchPD	(	vx_graph	graph,
		vx_image	pSrc,
		vx_array	srcImgWidth,
		vx_array	srcImgHeight,
		vx_image	pDst,
		vx_array	dstImgWidth,
		vx_array	dstImgHeight,
		vx_array	perspective,
		vx_uint32	nbatchSize
	)

[Graph] Creates a RPP Warp Perspective function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input image in `VX_DF_IMAGE_U8` or `VX_DF_IMAGE_RGB` format data.
[in]	srcImgWidth	The input array of batch size in `unsigned int` containing the image width data.
[in]	srcImgHeight	The input array of batch size in `unsigned int` containing the image height data.
[out]	pDst	The output image data.
[in]	dstImgWidth	The input array of batch size in `unsigned int` containing the width data for output image.
[in]	dstImgHeight	The input array of batch size in `unsigned int` containing the height data for output image.
[in]	perspective	The input array of batch size in `float` containing values defining the perspective-transformation matrix.
[in]	nbatchSize	The input scalar in `VX_TYPE_UINT32` to set batch size.

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppNoise()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppNoise	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pNoiseProb,
		vx_array	pSaltProb,
		vx_array	pSaltValue,
		vx_array	pPepperValue,
		vx_scalar	seed,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Noise function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pNoiseProb	The input array in `VX_TYPE_FLOAT32` format containing the noise probability data.
[in]	pSaltProb	The input array in `VX_TYPE_FLOAT32` format containing the salt probability data.
[in]	pSaltValue	The input array in `VX_TYPE_FLOAT32` format containing the salt value data.
[in]	pPepperValue	The input array in `VX_TYPE_FLOAT32` format containing the pepper value data.
[in]	seed	The input scalar in `VX_TYPE_UINT32` contains the seed value.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppNonSilentRegionDetection()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppNonSilentRegionDetection	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst1,
		vx_tensor	pDst2,
		vx_scalar	cutOffDB,
		vx_scalar	referencePower,
		vx_scalar	windowLength,
		vx_scalar	resetInterval
	)

[Graph] Performs leading and trailing silence detection to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor in `unsigned int containing the roi values for each input in the format <begin_dim1, begin_dim2 .., length_dim1, length_dim2> format for each dimension.`
[out]	pBegin	`The output tensor containing begin values of the non-silent region of the audio-data in VX_TYPE_INT32 format data.`
[out]	pLength	`The output tensor containing length values of the non-silent region of the audio-data in VX_TYPE_INT32 format data.`
[in]	cutOffDB	`The input scalar in VX_TYPE_FLOAT32 format containing the threshold, in dB, below which the signal is considered silent.`
[in]	referencePower	`The input scalar in VX_TYPE_FLOAT32 format containing the reference power used for converting the signal to dB.`
[in]	windowLength	`The input scalar in VX_TYPE_INT32 format containing the size of the sliding window.`
[in]	resetInterval	`The input scalar in VX_TYPE_INT32 format containing the frequency at which the moving mean average is recalculated to mitigate precision loss.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppNop()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppNop	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst
	)

[Graph] Creates a Nop function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor data.
[out]	pDst	The output tensor data.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppNormalize()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppNormalize	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pDstRoi,
		vx_scalar	axis_mask,
		vx_array	pMean,
		vx_array	pStddev,
		vx_scalar	computeMeanAndStddev,
		vx_scalar	scale,
		vx_scalar	shift,
		vx_scalar	inputLayout,
		vx_scalar	roiType
	)

[Graph] Applies mean-stddev normalization to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input.`
[out]	pDst	`The output tensor in VX_TYPE_FLOAT32 format data.`
[in]	pDstRoi	`The input tensor of batch size in unsigned int containing the roi values for the output.`
[in]	axisMask	`The input array in VX_TYPE_INT32 format containing axis along which normalization needs to be done`
[in]	pMean	`The input array in VX_TYPE_FLOAT32 format containing values to be subtracted from input`
[in]	pStddev	`The input array in VX_TYPE_FLOAT32 format containing standard deviation values to scale the input`
[in]	computeMeanAndStddev	`The input scalar in VX_TYPE_UINT8 format containing flag to represent internal computation of mean and std dev`
[in]	scale	`The input scalar in VX_TYPE_FLOAT32 format containing value to be multiplied with data after subtracting from mean`
[in]	shift	`The input scalar in VX_TYPE_FLOAT32 format containing value to be added finally`
[in]	inputLayout	`The input scalar in VX_TYPE_INT32 format containing the layout of the input tensor.`
[in]	roiType	`The input scalar in VX_TYPE_INT32 format containing the roi type which can be ltrb/xywh.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppPixelate()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppPixelate	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Pixelate function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppPreemphasisFilter()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppPreemphasisFilter	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pPreemphCoeff,
		vx_scalar	borderType
	)

[Graph] Applies preemphasis filter to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh (w- samples, h - channels) format.
[out]	pDst	The output tensor in `VX_TYPE_FLOAT32` format data.
[in]	pPreemphCoeff	The input array in `VX_TYPE_FLOAT32` format containing the preEmphasis co-efficient.
[in]	borderType	The type of border `VX_TYPE_INT32` which can be "zero", "clamp", "reflect".

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppRain()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppRain	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pRainValue,
		vx_array	pRainWidth,
		vx_array	pRainHeight,
		vx_array	pRainTransperancy,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Noise function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pRainValue	The input array in `VX_TYPE_FLOAT32` format containing the rain value data.
[in]	pRainWidth	The input array in `VX_TYPE_UINT32` format containing the rain width data.
[in]	pRainHeight	The input array in `VX_TYPE_UINT32` format containing the rain height data.
[in]	pRainTransperancy	The input array in `VX_TYPE_FLOAT32` format containing the rain transparency data.
[in]	seed	The input scalar in `VX_TYPE_UINT32` contains the seed value.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppResample()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppResample	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_tensor	pSrcRoi,
		vx_tensor	pDstRoi,
		vx_array	pInRateTensor,
		vx_tensor	pOutRateTensor,
		vx_scalar	quality
	)

[Graph] Applies resample augmentation to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[out]	pDst	The output tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input.`
[in]	pDstRoi	`The input tensor of batch size in unsigned int containing the roi values for the output.`
[in]	pInRateTensor	`The input array in VX_TYPE_FLOAT32 format containing the input sample rate data.`
[in]	pOutRateTensor	`The input tensor in VX_TYPE_FLOAT32 format containing the output sample rate data.`
[in]	quality	`The resampling is achieved by applying a sinc filter with Hann window with an extent controlled by the quality argument.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppResize()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppResize	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pDstWidth,
		vx_array	pDstHeight,
		vx_scalar	interpolationType,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Resize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pDstWidth	The input array in `VX_TYPE_UINT32` format containing the output width data.
[in]	pDstHeight	The input array in `VX_TYPE_UINT32` format containing the output height data.
[in]	interpolationType	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppResizeCrop()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppResizeCrop	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pCropTensor,
		vx_tensor	pDst,
		vx_array	pDstWidth,
		vx_array	pDstHeight,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ResizeCrop function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[in]	pCropTensor	The input tensor of batch size in `unsigned int` containing the crop coordinates for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	pDstWidth	The input array in `VX_TYPE_UINT32` format containing the output width data.
[in]	pDstHeight	The input array in `VX_TYPE_UINT32` format containing the output height data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppResizeCropMirror()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppResizeCropMirror	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pDstWidth,
		vx_array	pDstHeight,
		vx_array	pMirror,
		vx_scalar	interpolationType,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ResizeCropMirror function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pDstWidth	The input array in `VX_TYPE_UINT32` format containing the output width data.
[in]	pDstHeight	The input array in `VX_TYPE_UINT32` format containing the output height data.
[in]	pMirror	The input array in `VX_TYPE_INT32` format containing the mirror data.
[in]	interpolationType	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppResizeMirrorNormalize()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppResizeMirrorNormalize	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pDstWidth,
		vx_array	pDstHeight,
		vx_scalar	interpolationType,
		vx_array	pMean,
		vx_array	pStdDev,
		vx_array	pMirror,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ResizeMirrorNormalize function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pDstWidth	The input array in `VX_TYPE_UINT32` format containing the output width data.
[in]	pDstHeight	The input array in `VX_TYPE_UINT32` format containing the output height data.
[in]	interpolationType	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	pMean	The input array in `VX_TYPE_FLOAT32` format containing the mean data.
[in]	pStdDev	The input array in `VX_TYPE_FLOAT32` format containing the std-dev data.
[in]	pMirror	The input array in `VX_TYPE_INT32` format containing the mirror data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppRotate()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppRotate	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAngle,
		vx_scalar	interpolationType,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Rotate function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pAngle	The input array in `VX_TYPE_FLOAT32` format containing the angle data.
[in]	interpolationType	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppSaturation()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppSaturation	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pSaturationFactor,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Saturation function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSaturationFactor	The input array in `VX_TYPE_FLOAT32` format containing the saturation factor data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppSequenceRearrange()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppSequenceRearrange	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_array	pNewOrder,
		vx_scalar	layout
	)

[Graph] Creates a SequenceRearrange function node.

[Graph] Creates a Tensor SequenceRearrange function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor `VX_TYPE_UINT8` format data.
[out]	pDst	The output tensor `VX_TYPE_UINT8` format data.
[in]	pNewOrder	The rearrange order in `VX_TYPE_UINT32` containing the order in which frames are copied.
[in]	layout	The layout in `VX_TYPE_INT32` denotes the layout of input and output tensor.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8 format data.`
[out]	pDst	`The output tensor in VX_TYPE_UINT8 format data.`
[in]	pNewOrder	`The rearrange order in VX_TYPE_UINT32 containing the order in which frames are copied.`
[in]	layout	`The layout in VX_TYPE_INT32 denotes the layout of input and output tensor.`

Returns: vx_node.; A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppSlice()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppSlice	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pDstRoi,
		vx_tensor	pAnchor,
		vx_tensor	pShape,
		vx_array	pFillValue,
		vx_scalar	policy,
		vx_scalar	inputLayout,
		vx_scalar	roiType
	)

[Graph] Slice's the input tensor using anchors and shapes values

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor in `unsigned int format containing the roi values for the input format <begin_dim1, begin_dim2 .., length_dim1, length_dim2> format for each dimension.`
[out]	pDst	`The output tensor in VX_TYPE_UINT8 or VX_TYPE_FLOAT32 format data.`
[in]	pDstRoi	`The input tensor in unsigned int format containing the roi values for the output tensor format <begin_dim1, begin_dim2 .., length_dim1, length_dim2> format for each dimension.`
[in]	pAnchor	`The input array in VX_TYPE_INT32 format containing the absolute coordinates for the starting point of the slice.`
[in]	pShape	`The input array in VX_TYPE_INT32 format containing the absolute coordinates for the dimensions of the slice`
[in]	pFillValue	`The input array in VX_TYPE_INT32 format which determines the values to be padded and is only relevant if policy is set to “pad”.`
[in]	policy	`The input scalar in VX_TYPE_INT32 format which determines the policy when slicing the out of bounds area of the input. The values can be "error", "pad", "trim_to_shape"`
[in]	inputLayout	`The input scalar in VX_TYPE_INT32 format containing the layout of the input tensor.`
[in]	roiType	`The input scalar in VX_TYPE_INT32 format containing the roi type which can be ltrb/xywh.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppSnow()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppSnow	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pSnowValue,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Snow function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	pSnowValue	The input array in `VX_TYPE_FLOAT32` format containing the snow value data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppSpectrogram()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppSpectrogram	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pDstRoi,
		vx_array	windowFunction,
		vx_scalar	centerWindow,
		vx_scalar	reflectPadding,
		vx_scalar	spectrogramLayout,
		vx_scalar	power,
		vx_scalar	nfft,
		vx_scalar	windowLength,
		vx_scalar	windowStep
	)

[Graph] Produces a spectrogram from a 1D signal.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input in xywh/ltrb format.`
[out]	pDst	`The output tensor (begin) in VX_TYPE_FLOAT32 format data.`
[in]	pDstRoi	`The input tensor of batch size in unsigned int containing the roi values for the output tensor in xywh/ltrb format.`
[in]	windowFunction	`The input array in VX_TYPE_FLOAT32 format containing the samples of the window function that will be multiplied to each extracted window when calculating the STFT.`
[in]	centerWindow	`The input scalar in VX_TYPE_BOOL format indicates whether extracted windows should be padded so that the window function is centered at multiples of window_step.`
[in]	reflectPadding	`The input scalar in VX_TYPE_BOOL format indicates the padding policy when sampling outside the bounds of the signal.`
[in]	spectrogramLayout	`The input scalar in VX_TYPE_INT32 format containing the Output spectrogram layout.`
[in]	power	`The input scalar in VX_TYPE_INT32 format containing the exponent of the magnitude of the spectrum.`
[in]	nfft	`The input scalar in VX_TYPE_INT32 format containing the size of the FFT.`
[in]	windowLength	`The input scalar in VX_TYPE_INT32 format containing Window size in number of samples.`
[in]	windowStep	`The input array in VX_TYPE_INT32 format containing the step between the STFT windows in number of samples.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppTensorAddTensor()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppTensorAddTensor	(	vx_graph	graph,
		vx_tensor	pSrc1,
		vx_tensor	pSrc2,
		vx_tensor	pDst,
		vx_tensor	pSrcRoi,
		vx_tensor	pDstRoi
	)

[Graph] Adds two tensors and returns the output.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The input tensor1 in `VX_TYPE_FLOAT32 format data.`
[in]	pSrc2	`The input tensor2 in VX_TYPE_FLOAT32 format data.`
[out]	pDst	`The output tensor in VX_TYPE_FLOAT32 format data.`
[in]	pSrcRoi	`The input tensor of batch size in unsigned int containing the roi values for the input1.`
[in]	pDstRoi	`The input tensor of batch size in unsigned int containing the roi values for the input2.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppTensorMulScalar()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppTensorMulScalar	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_scalar	scalarValue
	)

[Graph] Multiples a tensor and a scalar and returns the output.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32 format data.`
[out]	pDst	`The output tensor in VX_TYPE_FLOAT32 format data.`
[in]	scalarValue	`The input scalar in VX_TYPE_FLOAT32 format containing the value used to multiply the input tensor`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppToDecibels()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppToDecibels	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	cutOffDB,
		vx_scalar	multiplier,
		vx_scalar	referenceMagnitude,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout
	)

[Graph] Applies to_decibels augmentation to the input tensor.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int containing the roi values for the input.`
[out]	pDst	`The output tensor in VX_TYPE_FLOAT32 format data.`
[in]	cutOffDB	`The input scalar in VX_TYPE_FLOAT32 format containing minimum or cut-off ratio in dB`
[in]	multiplier	`The input scalar in VX_TYPE_FLOAT32 format containing factor by which the logarithm is multiplied`
[in]	referenceMagnitude	`The input scalar in VX_TYPE_FLOAT32 format containing Reference magnitude which if not provided uses maximum value of input as reference`
[in]	inputLayout	`The input layout in VX_TYPE_INT32 denotes the layout of input tensor.`
[in]	outputLayout	`The output layout in VX_TYPE_INT32 denotes the layout of output tensor.`

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppVignette()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppVignette	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pStdDev,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Vignette function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pStdDev	The input array in `VX_TYPE_FLOAT32` format containing the standard deviation data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

◆ vxExtRppWarpAffine()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppWarpAffine	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAffineArray,
		vx_scalar	interpolationType,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Warp-Affine function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing the roi values for the input in xywh/ltrb format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pAffineArray	The input array in `VX_TYPE_FLOAT32` format containing the affine transformation data.
[in]	interpolationType	The resize interpolation type in `VX_TYPE_INT32` format containing the type of interpolation.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denotes the layout of output tensor.
[in]	roiType	The type of roi `VX_TYPE_INT32` denotes whether source roi is of XYWH/LTRB type.

Returns: A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

AMD RPP Extension API

AMD RPP Extension API#

Functions

Detailed Description

Function Documentation

◆ vxExtRppBlend()

◆ vxExtRppBlur()

◆ vxExtRppBrightness()

◆ vxExtRppColorTemperature()

◆ vxExtRppColorTwist()

◆ vxExtRppContrast()

◆ vxExtRppCopy()

◆ vxExtRppCrop()

◆ vxExtRppCropMirrorNormalize()

◆ vxExtRppDownmix()

◆ vxExtRppExposure()

◆ vxExtRppFishEye()

◆ vxExtRppFlip()

◆ vxExtRppFog()

◆ vxExtRppGammaCorrection()

◆ vxExtRppGlitch()

◆ vxExtRppHue()

◆ vxExtRppJitter()

◆ vxExtRppLensCorrection()

◆ vxExtRppMelFilterBank()

◆ vxExtrppNode_AbsoluteDifferencebatchPD()

◆ vxExtrppNode_AccumulatebatchPD()

◆ vxExtrppNode_AccumulateSquaredbatchPD()

◆ vxExtrppNode_AccumulateWeightedbatchPD()

◆ vxExtrppNode_AddbatchPD()

◆ vxExtrppNode_BitwiseANDbatchPD()

◆ vxExtrppNode_BitwiseNOTbatchPD()

◆ vxExtrppNode_BlendbatchPD()

◆ vxExtrppNode_BlurbatchPD()

◆ vxExtrppNode_BoxFilterbatchPD()

◆ vxExtrppNode_BrightnessbatchPD()

◆ vxExtrppNode_CannyEdgeDetector()

◆ vxExtrppNode_ChannelCombinebatchPD()

◆ vxExtrppNode_ChannelExtractbatchPD()

◆ vxExtrppNode_ColorTemperaturebatchPD()

◆ vxExtrppNode_ColorTwistbatchPD()

◆ vxExtrppNode_ContrastbatchPD()

◆ vxExtrppNode_CopybatchPD()

◆ vxExtrppNode_CropMirrorNormalizebatchPD()

◆ vxExtrppNode_CropPD()

◆ vxExtrppNode_CustomConvolutionbatchPD()

◆ vxExtrppNode_DataObjectCopybatchPD()

◆ vxExtrppNode_DilatebatchPD()

◆ vxExtrppNode_ErodebatchPD()

◆ vxExtrppNode_ExclusiveORbatchPD()

◆ vxExtrppNode_ExposurebatchPD()

◆ vxExtrppNode_FastCornerDetector()

◆ vxExtrppNode_FisheyebatchPD()

◆ vxExtrppNode_FlipbatchPD()

◆ vxExtrppNode_FogbatchPD()

◆ vxExtrppNode_GammaCorrectionbatchPD()

◆ vxExtrppNode_GaussianFilterbatchPD()

◆ vxExtrppNode_GaussianImagePyramidbatchPD()

◆ vxExtrppNode_HarrisCornerDetector()

◆ vxExtrppNode_Histogram()

◆ vxExtrppNode_HistogramBalancebatchPD()

◆ vxExtrppNode_HistogramEqualizebatchPD()

◆ vxExtrppNode_HuebatchPD()

◆ vxExtrppNode_InclusiveORbatchPD()

◆ vxExtrppNode_JitterbatchPD()

◆ vxExtrppNode_LaplacianImagePyramid()

◆ vxExtrppNode_LensCorrectionbatchPD()

◆ vxExtrppNode_LocalBinaryPatternbatchPD()

◆ vxExtrppNode_LookUpTablebatchPD()

◆ vxExtrppNode_MagnitudebatchPD()

◆ vxExtrppNode_MaxbatchPD()

◆ vxExtrppNode_MeanStddev()

◆ vxExtrppNode_MedianFilterbatchPD()

◆ vxExtrppNode_MinbatchPD()

◆ vxExtrppNode_MinMaxLoc()

◆ vxExtrppNode_MultiplybatchPD()

◆ vxExtrppNode_NoisebatchPD()

◆ vxExtrppNode_NonLinearFilterbatchPD()

◆ vxExtrppNode_NonMaxSupressionbatchPD()

◆ vxExtrppNode_NopbatchPD()