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	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_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	vxExtRppColorJitter (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pBrightness, vx_array pContrast, vx_array pHue, vx_array pSaturation, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a ColorJitter 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 pIntensityFactor, vx_array pGrayFactor, 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 pCameraMatrix, vx_array pDistortionCoeffs, 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	vxExtRppGaussianNoise (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pMean, vx_array pStdDev, vx_scalar seed, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a GaussianNoise function node. More...

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

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppRain (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar rainPercentage, vx_scalar rainWidth, vx_scalar rainHeight, vx_scalar rainSlantAngle, vx_array pRainTransperancy, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Rain function node. More...

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

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppResizeCrop (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 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 pBrightnessCoefficient, vx_array pSnowThreshold, vx_array pDarkMode, 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 pixelationPercentage, 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...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppTranspose (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pPerm, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Transpose the input tensor according to the permutation passed More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppLog (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout)
	[Graph] Computes the natural logarithm of input element-wise and returns the output. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppLog1p (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout)
	[Graph] Computes the natural logarithm of 1 + input element-wise and returns the output. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtPythonFunction (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_scalar bridgeFnPtr, vx_scalar functionId, vx_scalar inputLayout, vx_scalar outputLayout)
	[Graph] Invokes the python execution callback function from rocAL, passes the input to the callback and returns the output. More...

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

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppGridMask (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar tileWidth, vx_scalar gridRatio, vx_scalar gridAngle, vx_scalar translateX, vx_scalar translateY, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a GridMask function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppMedianFilter (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar kernelSize, vx_scalar borderType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Median Filter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppGaussianFilter (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pStdDev, vx_scalar kernelSize, vx_scalar borderType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Gaussian Filter function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppErode (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar kernelSize, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates an Erode function node. More...

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

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

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

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppThreshold (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pMin, vx_array pMax, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Threshold function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppErase (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pAnchorBoxInfo, vx_tensor pColors, vx_tensor pNumBoxes, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates an Erase function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppBitwiseOps (vx_graph graph, vx_tensor pSrc1, vx_tensor pSrc2, vx_tensor pSrcRoi, vx_tensor pDst, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType, vx_scalar opType)
	[Graph] Creates a BitwiseOps function node (AND/OR/XOR). More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppCropAndPatch (vx_graph graph, vx_tensor pSrc1, vx_tensor pSrc2, vx_tensor pDst, vx_tensor pDstRoi, vx_tensor pCropRoi, vx_tensor pPatchRoi, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a RPP CropAndPatch function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppRemap (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pRowRemap, vx_tensor pColRemap, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a RPP Remap function node for tensors. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppRicap (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_tensor pPermutation, vx_tensor pInputCropRoi, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Ricap (Random Image Cropping And Patching) function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppWater (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAmplitudeX, vx_array pAmplitudeY, vx_array pFrequencyX, vx_array pFrequencyY, vx_array pPhaseX, vx_array pPhaseY, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Water function node. More...

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppChannelPermute (vx_graph graph, vx_tensor pSrc, vx_tensor pDst, vx_array pPermutationTensor, vx_scalar inputLayout, vx_scalar outputLayout)
	[Graph] Creates a ChannelPermute function node. More...

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

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

SHARED_PUBLIC vx_node VX_API_CALL	vxExtRppLut (vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_tensor pLut, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType)
	[Graph] Creates a Look-Up Table (LUT) function node. More...

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

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

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

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

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

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

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

Detailed Description

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

Function Documentation

◆ vxExtPythonFunction()

SHARED_PUBLIC vx_node VX_API_CALL vxExtPythonFunction	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_scalar	bridgeFnPtr,
		vx_scalar	functionId,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout
	)

[Graph] Invokes the python execution callback function from rocAL, passes the input to the callback and returns the output.

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` or `VX_TYPE_INT16` format data.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` or `VX_TYPE_INT16` format data.
[in]	bridgeFnPtr	The pointer to the bridge function in `VX_TYPE_UINT64` format.
[in]	functionId	The python function ID in `VX_TYPE_UINT64` format.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting 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.

◆ vxExtRppBitwiseOps()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppBitwiseOps	(	vx_graph	graph,
		vx_tensor	pSrc1,
		vx_tensor	pSrc2,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType,
		vx_scalar	opType
	)

[Graph] Creates a BitwiseOps function node (AND/OR/XOR).

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The first input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrc2	The second input tensor in `VX_TYPE_UINT8` format data.
[in]	pSrcRoi	The input tensor of batch size in unsigned int containing per-sample ROI values for the inputs in XYWH/LTRB format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` format data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of input tensors (e.g., VX_NHWC, VX_NCHW, VX_NFHWC, VX_NFCHW).
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.
[in]	opType	The operation selector in `VX_TYPE_INT32`: 0 = AND, 1 = OR, 2 = XOR.

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

◆ 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_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]	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.

RPP VX_API_ENTRY C 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.

◆ vxExtRppChannelPermute()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppChannelPermute	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_array	pPermutationTensor,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout
	)

[Graph] Creates a ChannelPermute 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.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pPermutationTensor	The input array in `VX_TYPE_UINT32` format containing the permutation order for channels.
[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.

◆ vxExtRppColorCast()

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

[Graph] Creates a ColorCast 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]	pRgb	The input tensor in `VX_TYPE_UINT8` format containing per-sample RGB triplets (r, g, b).
[in]	pAlpha	The input array in `VX_TYPE_FLOAT32` format containing the alpha value per sample.
[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.

◆ vxExtRppColorJitter()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppColorJitter	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pBrightness,
		vx_array	pContrast,
		vx_array	pHue,
		vx_array	pSaturation,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a ColorJitter 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]	pBrightness	The input array in `VX_TYPE_FLOAT32` format containing the brightness data.
[in]	pContrast	The input array in `VX_TYPE_FLOAT32` format containing the contrast data.
[in]	pHue	The input array in `VX_TYPE_FLOAT32` format containing the hue data.
[in]	pSaturation	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.

◆ 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.

◆ vxExtRppColorToGreyscale()

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

[Graph] Creates a ColorToGreyscale 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]	subpixelLayout	The input scalar in `VX_TYPE_INT32` specifying the source subpixel layout.
[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.

◆ vxExtRppCropAndPatch()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppCropAndPatch	(	vx_graph	graph,
		vx_tensor	pSrc1,
		vx_tensor	pSrc2,
		vx_tensor	pDst,
		vx_tensor	pDstRoi,
		vx_tensor	pCropRoi,
		vx_tensor	pPatchRoi,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a RPP CropAndPatch function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The first input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pSrc2	The second input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pDstRoi	The input roi tensor containing per-sample ROI values for the destination in XYWH/LTRB format.
[in]	pCropRoi	The input roi tensor containing per-sample ROI values for the crop region in XYWH/LTRB format.
[in]	pPatchRoi	The input roi tensor containing per-sample ROI values for the patch region in XYWH/LTRB format.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of input tensors (e.g., VX_NHWC, VX_NCHW, VX_NFHWC, VX_NFCHW).
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether ROIs are XYWH or LTRB.

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.

◆ vxExtRppDilate()

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

[Graph] Creates a Dilate 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]	kernelSize	The input scalar in `VX_TYPE_UINT32` format containing the kernel size for the dilate operation.
[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 ROI encoding type in `VX_TYPE_INT32` denotes whether source ROI is XYWH or LTRB.

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.

◆ vxExtRppErase()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppErase	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pAnchorBoxInfo,
		vx_tensor	pColors,
		vx_tensor	pNumBoxes,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates an Erase 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.
[in]	pSrcRoi	The input tensor containing per-sample 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.
[in]	pAnchorBoxInfo	The input tensor containing per-sample, per-box erase anchor boxes in LTRB encoding. Dimensions must accommodate the maximum number of boxes per sample.
[in]	pColors	The input tensor containing per-sample, per-box erase colors. The tensor must provide a color triplet per box (layout-dependent).
[in]	pNumBoxes	The input tensor of type `VX_TYPE_UINT32` or `VX_TYPE_INT32` containing the number of erase boxes per sample (length N in the first dimension).
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of the input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.

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

◆ vxExtRppErode()

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

[Graph] Creates an Erode 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]	kernelSize	The input scalar in `VX_TYPE_UINT32` format containing the kernel size for the erode operation.
[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 ROI encoding type in `VX_TYPE_INT32` denotes whether source ROI is XYWH or LTRB.

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	pIntensityFactor,
		vx_array	pGrayFactor,
		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]	pIntensityFactor	The input array in `VX_TYPE_FLOAT32` format containing the intensity factor values for fog calculation.
[in]	pGrayFactor	The input array in `VX_TYPE_FLOAT32` format containing the gray factor values to introduce grayness in the image for fog calculation.
[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.

◆ vxExtRppGaussianFilter()

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

[Graph] Creates a Gaussian Filter 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 values for Gaussian filter kernel generation.
[in]	kernelSize	The input scalar in `VX_TYPE_UINT32` format containing the kernel size for the Gaussian filter.
[in]	borderType	The input scalar in `VX_TYPE_INT32` format containing the border type for handling edge pixels.
[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.

◆ vxExtRppGaussianNoise()

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

[Graph] Creates a GaussianNoise 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]	pMean	The input array in `VX_TYPE_FLOAT32` format containing the mean data for Gaussian noise.
[in]	pStdDev	The input array in `VX_TYPE_FLOAT32` format containing the standard deviation data for Gaussian noise.
[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.

◆ 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.

◆ vxExtRppGridMask()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppGridMask	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	tileWidth,
		vx_scalar	gridRatio,
		vx_scalar	gridAngle,
		vx_scalar	translateX,
		vx_scalar	translateY,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a GridMask 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]	tileWidth	The input scalar in `VX_TYPE_UINT32` denoting the grid tile width (pixels).
[in]	gridRatio	The input scalar in `VX_TYPE_FLOAT32` denoting the ratio of masked area within each tile (0.0 to 1.0).
[in]	gridAngle	The input scalar in `VX_TYPE_FLOAT32` denoting the grid rotation in radians.
[in]	translateX	The input scalar in `VX_TYPE_UINT32` denoting the translation along X in pixels.
[in]	translateY	The input scalar in `VX_TYPE_UINT32` denoting the translation along Y in pixels.
[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.

◆ vxExtRppJpegCompressionDistortion()

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

[Graph] Creates a JpegCompressionDistortion 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]	pQuality	The input array in `VX_TYPE_INT32` format containing the JPEG compression quality 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.

◆ vxExtRppLensCorrection()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppLensCorrection	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pCameraMatrix,
		vx_array	pDistortionCoeffs,
		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]	pCameraMatrix	The input array in `VX_TYPE_FLOAT32` format containing camera intrinsic parameters required to compute lens corrected image.
[in]	pDistortionCoeffs	The input array in `VX_TYPE_FLOAT32` format containing the distortion coefficients required to compute lens corrected image.
[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.

◆ vxExtRppLog()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppLog	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout
	)

[Graph] Computes the natural logarithm of input element-wise and returns the output.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` 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` or `VX_TYPE_FLOAT16` format data.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.

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

◆ vxExtRppLog1p()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppLog1p	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_scalar	inputLayout
	)

[Graph] Computes the natural logarithm of 1 + input element-wise and returns the output.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc	The input tensor in `VX_TYPE_INT16` 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]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input tensor.

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

◆ vxExtRppLut()

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

[Graph] Creates a Look-Up Table (LUT) 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]	pLut	The lookup table tensor containing the transformation values.
[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.

◆ vxExtRppMagnitude()

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

[Graph] Creates a Magnitude function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The first input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pSrc2	The second input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing per-sample ROI values for the inputs 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.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of the input tensors.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.

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

◆ vxExtRppMedianFilter()

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

[Graph] Creates a Median Filter 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]	kernelSize	The input scalar in `VX_TYPE_UINT32` format containing the kernel size for the median filter.
[in]	borderType	The input scalar in `VX_TYPE_INT32` format containing the border type for handling edge pixels.
[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.

◆ 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.

◆ vxExtRppPhase()

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

[Graph] Creates a Phase function node.

Parameters

[in]	graph	The handle to the graph.
[in]	pSrc1	The first input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pSrc2	The second input tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing per-sample ROI values for the inputs 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.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of the input tensors.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.

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	pixelationPercentage,
		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]	pixelationPercentage	The input value in `VX_TYPE_FLOAT32` format containing the variable controling how much pixelation is applied to images.(pixelationPercentage value ranges from 0 to 100).
[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.

◆ vxExtRppPosterize()

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

[Graph] Creates a Posterize 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]	pPosterizeLevelBits	The input array in `VX_TYPE_UINT8` format containing the posterize level bits 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_scalar	rainPercentage,
		vx_scalar	rainWidth,
		vx_scalar	rainHeight,
		vx_scalar	rainSlantAngle,
		vx_array	pRainTransperancy,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Rain 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]	rainPercentage	The input value in `VX_TYPE_FLOAT32` format containing the percentage of the rain effect to be applied.
[in]	rainWidth	The input value in `VX_TYPE_UINT32` format containing the width of the rain drops in pixels.
[in]	rainHeight	The input value in `VX_TYPE_UINT32` format containing the height of the rain drops in pixels.
[in]	rainSlantAngle	The input value in `VX_TYPE_FLOAT32` format containing the slant angle of the rain drops (positive value for right slant, negative for left slant)
[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.

◆ vxExtRppRemap()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppRemap	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pRowRemap,
		vx_tensor	pColRemap,
		vx_scalar	interpolationType,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a RPP Remap function node for tensors.

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.
[in]	pSrcRoi	The input tensor containing per-sample 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.
[in]	pRowRemap	The input remap table tensor of type `VX_TYPE_FLOAT32` containing row numbers per pixel. Must be common-desc NHWC with c=1.
[in]	pColRemap	The input remap table tensor of type `VX_TYPE_FLOAT32` containing column numbers per pixel. Must be common-desc NHWC with c=1.
[in]	interpolationType	The interpolation policy in `VX_TYPE_INT32` (supports NEAREST_NEIGHBOR and BILINEAR).
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting layout of input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting layout of output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.

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	pDst,
		vx_array	pDstWidth,
		vx_array	pDstHeight,
		vx_scalar	interpolationType,
		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` 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.

◆ 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.

◆ vxExtRppRicap()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppRicap	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pDst,
		vx_tensor	pPermutation,
		vx_tensor	pInputCropRoi,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Ricap (Random Image Cropping And Patching) 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.
[out]	pDst	The output tensor in `VX_TYPE_UINT8` or `VX_TYPE_FLOAT32` or `VX_TYPE_FLOAT16` or `VX_TYPE_INT8` format data.
[in]	pPermutation	The input tensor in `VX_TYPE_UINT32` format of length N*4, containing 4 indices per output sample that select which input samples supply the four patches.
[in]	pInputCropRoi	The input tensor containing 4 crop ROIs per output sample in XYWH/LTRB encoding (see roiType). The tensor must be laid out as a contiguous array of RpptROI entries.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of pSrc (e.g., VX_NHWC, VX_NCHW, VX_NFHWC, VX_NFCHW).
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of pDst.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether ROIs are XYWH or LTRB.

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.

◆ vxExtRppShotNoise()

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

[Graph] Creates a ShotNoise 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]	pShotNoiseFactor	The input array in `VX_TYPE_FLOAT32` format containing the shot noise factor 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.

◆ 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	pBrightnessCoefficient,
		vx_array	pSnowThreshold,
		vx_array	pDarkMode,
		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]	pBrightnessCoefficient	The input array in `VX_TYPE_FLOAT32` format containing the brightness coefficient (per image). Valid range: (1, 4].
[in]	pSnowThreshold	The input array in `VX_TYPE_FLOAT32` format containing the snow threshold (per image). Valid range: (0, 1].
[in]	pDarkMode	The input array in `VX_TYPE_INT32` format containing the dark mode enable/disable flag (per image). Valid values: 0/1.
[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.

◆ vxExtRppSolarize()

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

[Graph] Creates a Solarize 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]	pThresholdTensor	The input array in `VX_TYPE_FLOAT32` format containing the threshold 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.

◆ vxExtRppSpatter()

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

[Graph] Creates a Spatter 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]	pSpatterColor	The input array in `VX_TYPE_UINT8` format containing RGB values for the spatter color.
[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.

◆ vxExtRppTensorMax()

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

[Graph] Creates a TensorMax 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 that stores reduction-max results.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input 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.

◆ vxExtRppTensorMean()

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

[Graph] Creates a TensorMean 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 that stores reduction-mean results.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input 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.

◆ vxExtRppTensorMin()

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

[Graph] Creates a TensorMin 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 that stores reduction-min results.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input 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.

◆ 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.

◆ vxExtRppTensorStdDev()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppTensorStdDev	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_tensor	pMean,
		vx_scalar	inputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a TensorStdDev 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 that stores reduction-stddev results.
[in]	pMean	The input tensor containing per-sample means required for stddev computation.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input 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.

◆ vxExtRppTensorSum()

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

[Graph] Creates a TensorSum 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 that stores reduction results.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denotes the layout of input 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.

◆ vxExtRppThreshold()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppThreshold	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pMin,
		vx_array	pMax,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Threshold 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.
[in]	pSrcRoi	The input tensor of batch size in `unsigned int` containing per-sample ROI values for the inputs 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.
[in]	pMin	The input array in `VX_TYPE_FLOAT32` format containing per-sample minimum threshold values.
[in]	pMax	The input array in `VX_TYPE_FLOAT32` format containing per-sample maximum threshold values.
[in]	inputLayout	The input layout in `VX_TYPE_INT32` denoting the layout of the input tensor.
[in]	outputLayout	The output layout in `VX_TYPE_INT32` denoting the layout of the output tensor.
[in]	roiType	The ROI encoding type in `VX_TYPE_INT32` denoting whether source ROI is XYWH or LTRB.

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.

◆ vxExtRppTranspose()

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

[Graph] Transpose the input tensor according to the permutation passed

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 of batch size in `unsigned int containing the roi values for the input in xywh (w- samples, h - channels) format.`
[out]	pDst	`The input tensor in VX_TYPE_UINT8 or VX_TYPE_FLOAT32 format data.`
[in]	pPerm	`The input array in VX_TYPE_INT32 format containing the permutation in which transpose needs to be done`
[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 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.

◆ 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.

◆ vxExtRppWater()

SHARED_PUBLIC vx_node VX_API_CALL vxExtRppWater	(	vx_graph	graph,
		vx_tensor	pSrc,
		vx_tensor	pSrcRoi,
		vx_tensor	pDst,
		vx_array	pAmplitudeX,
		vx_array	pAmplitudeY,
		vx_array	pFrequencyX,
		vx_array	pFrequencyY,
		vx_array	pPhaseX,
		vx_array	pPhaseY,
		vx_scalar	inputLayout,
		vx_scalar	outputLayout,
		vx_scalar	roiType
	)

[Graph] Creates a Water 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]	pAmplitudeX	The input array in `VX_TYPE_FLOAT32` format containing the amplitude X data.
[in]	pAmplitudeY	The input array in `VX_TYPE_FLOAT32` format containing the amplitude Y data.
[in]	pFrequencyX	The input array in `VX_TYPE_FLOAT32` format containing the frequency X data.
[in]	pFrequencyY	The input array in `VX_TYPE_FLOAT32` format containing the frequency Y data.
[in]	pPhaseX	The input array in `VX_TYPE_FLOAT32` format containing the phase X data.
[in]	pPhaseY	The input array in `VX_TYPE_FLOAT32` format containing the phase Y 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.

AMD RPP Extension API

AMD RPP Extension API#

Functions

Detailed Description

Function Documentation

◆ vxExtPythonFunction()

◆ vxExtRppBitwiseOps()

◆ vxExtRppBlend()

◆ vxExtRppBlur()

◆ vxExtRppBrightness()

◆ vxExtRppChannelPermute()

◆ vxExtRppColorCast()

◆ vxExtRppColorJitter()

◆ vxExtRppColorTemperature()

◆ vxExtRppColorToGreyscale()

◆ vxExtRppColorTwist()

◆ vxExtRppContrast()

◆ vxExtRppCopy()

◆ vxExtRppCrop()

◆ vxExtRppCropAndPatch()

◆ vxExtRppCropMirrorNormalize()

◆ vxExtRppDilate()

◆ vxExtRppDownmix()

◆ vxExtRppErase()

◆ vxExtRppErode()

◆ vxExtRppExposure()

◆ vxExtRppFishEye()

◆ vxExtRppFlip()

◆ vxExtRppFog()

◆ vxExtRppGammaCorrection()

◆ vxExtRppGaussianFilter()

◆ vxExtRppGaussianNoise()

◆ vxExtRppGlitch()

◆ vxExtRppGridMask()

◆ vxExtRppHue()

◆ vxExtRppJitter()

◆ vxExtRppJpegCompressionDistortion()

◆ vxExtRppLensCorrection()

◆ vxExtRppLog()

◆ vxExtRppLog1p()

◆ vxExtRppLut()

◆ vxExtRppMagnitude()

◆ vxExtRppMedianFilter()

◆ vxExtRppMelFilterBank()

◆ vxExtRppNoise()

◆ vxExtRppNonSilentRegionDetection()

◆ vxExtRppNop()

◆ vxExtRppNormalize()

◆ vxExtRppPhase()

◆ vxExtRppPixelate()

◆ vxExtRppPosterize()

◆ vxExtRppPreemphasisFilter()

◆ vxExtRppRain()

◆ vxExtRppRemap()

◆ vxExtRppResample()

◆ vxExtRppResize()

◆ vxExtRppResizeCrop()

◆ vxExtRppResizeCropMirror()

◆ vxExtRppResizeMirrorNormalize()

◆ vxExtRppRicap()

◆ vxExtRppRotate()

◆ vxExtRppSaturation()

◆ vxExtRppSequenceRearrange()

◆ vxExtRppShotNoise()

◆ vxExtRppSlice()

◆ vxExtRppSnow()

◆ vxExtRppSolarize()

◆ vxExtRppSpatter()

◆ vxExtRppSpectrogram()

◆ vxExtRppTensorAddTensor()

◆ vxExtRppTensorMax()

◆ vxExtRppTensorMean()

◆ vxExtRppTensorMin()

◆ vxExtRppTensorMulScalar()

◆ vxExtRppTensorStdDev()

◆ vxExtRppTensorSum()

◆ vxExtRppThreshold()

◆ vxExtRppToDecibels()

◆ vxExtRppTranspose()

◆ vxExtRppVignette()