RPPT Tensor Operations - Effects Augmentations.#
RPPT Tensor Operations - Effects Augmentations. More...
Functions | |
RppStatus | rppt_gridmask_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u tileWidth, Rpp32f gridRatio, Rpp32f gridAngle, RpptUintVector2D translateVector, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Gridmask augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_gridmask_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u tileWidth, Rpp32f gridRatio, Rpp32f gridAngle, RpptUintVector2D translateVector, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Gridmask augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_spatter_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB spatterColor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Spatter augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_spatter_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRGB spatterColor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Spatter augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_salt_and_pepper_noise_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *noiseProbabilityTensor, Rpp32f *saltProbabilityTensor, Rpp32f *saltValueTensor, Rpp32f *pepperValueTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Salt and pepper noise augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_salt_and_pepper_noise_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *noiseProbabilityTensor, Rpp32f *saltProbabilityTensor, Rpp32f *saltValueTensor, Rpp32f *pepperValueTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Salt and pepper noise augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_shot_noise_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *shotNoiseFactorTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Shot noise augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_shot_noise_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *shotNoiseFactorTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Shot noise augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_gaussian_noise_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Gaussian noise augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_gaussian_noise_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Gaussian noise augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_non_linear_blend_host (RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *stdDevTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Non linear blend augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_non_linear_blend_gpu (RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *stdDevTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Non linear blend augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_water_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *amplitudeXTensor, Rpp32f *amplitudeYTensor, Rpp32f *frequencyXTensor, Rpp32f *frequencyYTensor, Rpp32f *phaseXTensor, Rpp32f *phaseYTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Water augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_water_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *amplitudeXTensor, Rpp32f *amplitudeYTensor, Rpp32f *frequencyXTensor, Rpp32f *frequencyYTensor, Rpp32f *phaseXTensor, Rpp32f *phaseYTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Water augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_ricap_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *permutedIndicesTensor, RpptROIPtr roiPtrInputCropRegion, RpptRoiType roiType, rppHandle_t rppHandle) |
RICAP (Random Image Crop And Patch) augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_ricap_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *permutedIndicesTensor, RpptROIPtr roiPtrInputCropRegion, RpptRoiType roiType, rppHandle_t rppHandle) |
RICAP (Random Image Crop And Patch) augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_vignette_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *vignetteIntensityTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Vignette augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_vignette_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32f *vignetteIntensityTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Vignette augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_jitter_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *kernelSizeTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Jitter augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_jitter_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u *kernelSizeTensor, Rpp32u seed, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Jitter augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_gaussian_noise_voxel_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Gaussian noise augmentation on HOST backend. More... | |
RppStatus | rppt_gaussian_noise_voxel_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstDescPtr, Rpp32f *meanTensor, Rpp32f *stdDevTensor, Rpp32u seed, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Gaussian noise augmentation on HIP backend. More... | |
RppStatus | rppt_erase_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRoiLtrb *anchorBoxInfoTensor, RppPtr_t colorsTensor, Rpp32u *numBoxesTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Erase augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_erase_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptRoiLtrb *anchorBoxInfoTensor, RppPtr_t colorsTensor, Rpp32u *numBoxesTensor, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Erase augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_glitch_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptChannelOffsets *rgbOffsets, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Glitch augmentation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_glitch_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptChannelOffsets *rgbOffsets, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Glitch augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
Detailed Description
RPPT Tensor Operations - Effects Augmentations.
Function Documentation
◆ rppt_erase_gpu()
RppStatus rppt_erase_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptRoiLtrb * | anchorBoxInfoTensor, | ||
RppPtr_t | colorsTensor, | ||
Rpp32u * | numBoxesTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Erase augmentation on HIP backend for a NCHW/NHWC layout tensor.
This function erases one or more user defined regions from an image, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127). dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] anchorBoxInfoTensor anchorBoxInfo values of type RpptRoiLtrb for each erase-region inside each image in the batch. Restrictions - - 0 <= anchorBoxInfo[i] < respective image width/height
- Erase-region anchor boxes on each image given by the user must not overlap
[in] colorsTensor RGB values to use for each erase-region inside each image in the batch. (colors[i] will have range equivalent of srcPtr) [in] numBoxesTensor number of erase-regions per image, for each image in the batch. (numBoxesTensor[n] >= 0) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_erase_host()
RppStatus rppt_erase_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptRoiLtrb * | anchorBoxInfoTensor, | ||
RppPtr_t | colorsTensor, | ||
Rpp32u * | numBoxesTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Erase augmentation on HOST backend for a NCHW/NHWC layout tensor.
This function erases one or more user defined regions from an image, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127). dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] anchorBoxInfoTensor anchorBoxInfo values of type RpptRoiLtrb for each erase-region inside each image in the batch. Restrictions - - 0 <= anchorBoxInfo[i] < respective image width/height
- Erase-region anchor boxes on each image given by the user must not overlap
[in] colorsTensor RGB values to use for each erase-region inside each image in the batch. (colors[i] will have range equivalent of srcPtr) [in] numBoxesTensor number of erase-regions per image, for each image in the batch. (numBoxesTensor[n] >= 0) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gaussian_noise_gpu()
RppStatus rppt_gaussian_noise_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | meanTensor, | ||
Rpp32f * | stdDevTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gaussian noise augmentation on HIP backend for a NCHW/NHWC layout tensor.
The gaussian noise augmentation adds Gaussian noise based on user defined means and standard deviations, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with meanTensor[i] >= 0 for each image in batch) [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gaussian_noise_host()
RppStatus rppt_gaussian_noise_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | meanTensor, | ||
Rpp32f * | stdDevTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gaussian noise augmentation on HOST backend for a NCHW/NHWC layout tensor.
The gaussian noise augmentation adds Gaussian noise based on user defined means and standard deviations, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] meanTensor mean values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with meanTensor[i] >= 0 for each image in batch) [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gaussian_noise_voxel_gpu()
RppStatus rppt_gaussian_noise_voxel_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstDescPtr, | ||
Rpp32f * | meanTensor, | ||
Rpp32f * | stdDevTensor, | ||
Rpp32u | seed, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gaussian noise augmentation on HIP backend.
This function adds gaussian noise to a batch of 4D tensors. Support added for u8 -> u8, f32 -> f32 datatypes.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] meanTensor mean values for each input, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with meanTensor[i] >= 0 for each image in batch) [in] stdDevTensor stdDev values for each input, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gaussian_noise_voxel_host()
RppStatus rppt_gaussian_noise_voxel_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | meanTensor, | ||
Rpp32f * | stdDevTensor, | ||
Rpp32u | seed, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gaussian noise augmentation on HOST backend.
This function adds gaussian noise to a batch of 4D tensors. Support added for u8 -> u8, f32 -> f32 datatypes.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] meanTensor mean values for each input, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with meanTensor[i] >= 0 for each image in batch) [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_glitch_gpu()
RppStatus rppt_glitch_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptChannelOffsets * | rgbOffsets, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Glitch augmentation on HIP backend for a NCHW/NHWC layout tensor.
The glitch augmentation adds a glitch effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] rgbOffsets RGB offset values to use for the glitch augmentation (A 1D tensor in pinned/HOST memory contains single set of 3 Rppi point values that applies to all images in the batch. For each point and for each image in the batch: 0 < point.x < width, 0 < point.y < height) [in] roiTensorPtrSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_glitch_host()
RppStatus rppt_glitch_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptChannelOffsets * | rgbOffsets, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Glitch augmentation on HOST backend for a NCHW/NHWC layout tensor.
The glitch augmentation adds a glitch effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] rgbOffsets RGB offset values to use for the glitch augmentation (A single set of 3 Rppi point values that applies to all images in the batch. For each point and for each image in the batch: 0 < point.x < width, 0 < point.y < height) [in] roiTensorPtrSrc ROI data for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gridmask_gpu()
RppStatus rppt_gridmask_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u | tileWidth, | ||
Rpp32f | gridRatio, | ||
Rpp32f | gridAngle, | ||
RpptUintVector2D | translateVector, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gridmask augmentation on HIP backend for a NCHW/NHWC layout tensor.
The gridmask augmentation runs as per https://arxiv.org/abs/2001.04086 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] tileWidth tileWidth value for gridmask calculation = width of black square + width of spacing until next black square on grid (a single Rpp32u number with tileWidth <= min(srcDescPtr->w, srcDescPtr->h) that applies to all images in the batch) [in] gridRatio gridRatio value for gridmask calculation = black square width / tileWidth (a single Rpp32f number with 0 <= gridRatio <= 1 that applies to all images in the batch) [in] gridAngle gridAngle value for gridmask calculation = grid rotation angle in radians (a single Rpp32f number that applies to all images in the batch) [in] translateVector translateVector for gridmask calculation = grid X and Y translation lengths in pixels (a single RpptUintVector2D x,y value pair that applies to all images in the batch) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_gridmask_host()
RppStatus rppt_gridmask_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u | tileWidth, | ||
Rpp32f | gridRatio, | ||
Rpp32f | gridAngle, | ||
RpptUintVector2D | translateVector, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Gridmask augmentation on HOST backend for a NCHW/NHWC layout tensor.
The gridmask augmentation runs as per https://arxiv.org/abs/2001.04086 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] tileWidth tileWidth value for gridmask calculation = width of black square + width of spacing until next black square on grid (a single Rpp32u number with tileWidth <= min(srcDescPtr->w, srcDescPtr->h) that applies to all images in the batch) [in] gridRatio gridRatio value for gridmask calculation = black square width / tileWidth (a single Rpp32f number with 0 <= gridRatio <= 1 that applies to all images in the batch) [in] gridAngle gridAngle value for gridmask calculation = grid rotation angle in radians (a single Rpp32f number that applies to all images in the batch) [in] translateVector translateVector for gridmask calculation = grid X and Y translation lengths in pixels (a single RpptUintVector2D x,y value pair that applies to all images in the batch) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_jitter_gpu()
RppStatus rppt_jitter_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u * | kernelSizeTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Jitter augmentation on HIP backend for a NCHW/NHWC layout tensor.
The jitter augmentation adds a jitter effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory un[in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] kernelSizeTensor kernelsize value for jitter calculation (kernelSize = 3/5/7 for optimal use) [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_jitter_host()
RppStatus rppt_jitter_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u * | kernelSizeTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Jitter augmentation on HOST backend for a NCHW/NHWC layout tensor.
The jitter augmentation adds a jitter effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] kernelSizeTensor kernelsize value for jitter calculation (kernelSize = 3/5/7 for optimal use) [in] roiTensorSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_non_linear_blend_gpu()
RppStatus rppt_non_linear_blend_gpu | ( | RppPtr_t | srcPtr1, |
RppPtr_t | srcPtr2, | ||
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | stdDevTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Non linear blend augmentation on HIP backend for a NCHW/NHWC layout tensor.
The non linear blend augmentation adds standard deviation based non-linear alpha-blending, between two sets of batches of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr1 source1 tensor in HIP memory [in] srcPtr2 source2 tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in pinned/HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_non_linear_blend_host()
RppStatus rppt_non_linear_blend_host | ( | RppPtr_t | srcPtr1, |
RppPtr_t | srcPtr2, | ||
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | stdDevTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Non linear blend augmentation on HOST backend for a NCHW/NHWC layout tensor.
The non linear blend augmentation adds standard deviation based non-linear alpha-blending, between two sets of batches of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr1 source1 tensor in HOST memory [in] srcPtr2 source2 tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] stdDevTensor stdDev values for each image, which are used to compute the generalized Box-Mueller transforms in a gaussian distribution (1D tensor in HOST memory, of size batchSize with stdDevTensor[i] >= 0 for each image in batch) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_ricap_gpu()
RppStatus rppt_ricap_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u * | permutedIndicesTensor, | ||
RpptROIPtr | roiPtrInputCropRegion, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
RICAP (Random Image Crop And Patch) augmentation on HIP backend for a NCHW/NHWC layout tensor.
The RICAP (Random Image Crop And Patch) augmentation runs as per https://arxiv.org/abs/1811.09030 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
The RICAP augmentation requires dimensions of input images to be the same across entire batch.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] permutedIndicesTensor Array of batchSize permutation sets (2D tensor in pinned/HOST memory, of batchSize * 4. Each set of 4 permutations contains Rpp32u image indices for each region in the respective RICAP-output-image in the batch) [in] roiPtrInputCropRegion Array of 4 ROIs (2D tensor in HIP memory, of size 4 * 4-elements per ROI, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_ricap_host()
RppStatus rppt_ricap_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u * | permutedIndicesTensor, | ||
RpptROIPtr | roiPtrInputCropRegion, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
RICAP (Random Image Crop And Patch) augmentation on HOST backend for a NCHW/NHWC layout tensor.
The RICAP (Random Image Crop And Patch) augmentation runs as per https://arxiv.org/abs/1811.09030 for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
The RICAP augmentation requires dimensions of input images to be the same across entire batch.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] permutedIndicesTensor Array of batchSize permutation sets (2D tensor in HOST memory, of batchSize * 4. Each set of 4 permutations contains Rpp32u image indices for each region in the respective RICAP-output-image in the batch) [in] roiPtrInputCropRegion Array of 4 ROIs (2D tensor in HOST memory, of size 4 * 4-elements per ROI, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_salt_and_pepper_noise_gpu()
RppStatus rppt_salt_and_pepper_noise_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | noiseProbabilityTensor, | ||
Rpp32f * | saltProbabilityTensor, | ||
Rpp32f * | saltValueTensor, | ||
Rpp32f * | pepperValueTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Salt and pepper noise augmentation on HIP backend for a NCHW/NHWC layout tensor.
The salt and pepper noise augmentation adds SnP noise based on user defined noise/salt probabilities, and user defined salt/pepper values for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor in pinned/HOST memory, of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch) [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor in pinned/HOST memory, of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch) [in] saltValueTensor A user-defined salt noise value (1D tensor in pinned/HOST memory, of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch) [in] pepperValueTensor A user-defined pepper noise value (1D tensor in pinned/HOST memory, of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_salt_and_pepper_noise_host()
RppStatus rppt_salt_and_pepper_noise_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | noiseProbabilityTensor, | ||
Rpp32f * | saltProbabilityTensor, | ||
Rpp32f * | saltValueTensor, | ||
Rpp32f * | pepperValueTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Salt and pepper noise augmentation on HOST backend for a NCHW/NHWC layout tensor.
The salt and pepper noise augmentation adds SnP noise based on user defined noise/salt probabilities, and user defined salt/pepper values for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] noiseProbailityTensor noiseProbaility values to decide if a destination pixel is a noise-pixel, or equal to source (1D tensor in HOST memory, of size batchSize with 0 <= noiseProbailityTensor[i] <= 1 for each image in batch) [in] saltProbailityTensor saltProbaility values to decide if a given destination noise-pixel is salt or pepper (1D tensor in HOST memory, of size batchSize with 0 <= saltProbailityTensor[i] <= 1 for each image in batch) [in] saltValueTensor A user-defined salt noise value (1D tensor in HOST memory, of size batchSize with 0 <= saltValueTensor[i] <= 1 for each image in batch) [in] pepperValueTensor A user-defined pepper noise value (1D tensor in HOST memory, of size batchSize with 0 <= pepperValueTensor[i] <= 1 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_shot_noise_gpu()
RppStatus rppt_shot_noise_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | shotNoiseFactorTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Shot noise augmentation on HIP backend for a NCHW/NHWC layout tensor.
The shot noise augmentation adds Poisson/shot noise based on a user defined shotNoiseFactor, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor in pinned/HOST memory, of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_shot_noise_host()
RppStatus rppt_shot_noise_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | shotNoiseFactorTensor, | ||
Rpp32u | seed, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Shot noise augmentation on HOST backend for a NCHW/NHWC layout tensor.
The shot noise augmentation adds Poisson/shot noise based on a user defined shotNoiseFactor, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] shotNoiseFactorTensor shotNoiseFactor values for each image, which are used to compute the lambda values in a poisson distribution (1D tensor in HOST memory, of size batchSize with shotNoiseFactorTensor[i] >= 0 for each image in batch) [in] seed A user-defined seed value (single Rpp32u value) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_spatter_gpu()
RppStatus rppt_spatter_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptRGB | spatterColor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Spatter augmentation on HIP backend for a NCHW/NHWC layout tensor.
The spatter augmentation adds random spatter of a user-defined color, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] spatterColor RGB values to use for the spatter augmentation (A single set of 3 Rpp8u values as RpptRGB that applies to all images in the batch) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 1920 and roiTensorSrc[i].xywhROI.roiHeight <= 1080) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_spatter_host()
RppStatus rppt_spatter_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptRGB | spatterColor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Spatter augmentation on HOST backend for a NCHW/NHWC layout tensor.
The spatter augmentation adds random spatter of a user-defined color, for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] spatterColor RGB values to use for the spatter augmentation (A single set of 3 Rpp8u values as RpptRGB that applies to all images in the batch) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 1920 and roiTensorSrc[i].xywhROI.roiHeight <= 1080) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_vignette_gpu()
RppStatus rppt_vignette_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | vignetteIntensityTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Vignette augmentation on HIP backend for a NCHW/NHWC layout tensor.
The vignette augmentation adds a vignette effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] vignetteIntensityTensor intensity values to quantify vignette effect (1D tensor of size batchSize with 0 < vignetteIntensityTensor[n] for each image in batch) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_vignette_host()
RppStatus rppt_vignette_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | vignetteIntensityTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Vignette augmentation on HOST backend for a NCHW/NHWC layout tensor.
The Vignette augmentation adds a vignette effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] vignetteIntensityTensor intensity values to quantify vignette effect (1D tensor of size batchSize with 0 < vignetteIntensityTensor[n] for each image in batch) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_water_gpu()
RppStatus rppt_water_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | amplitudeXTensor, | ||
Rpp32f * | amplitudeYTensor, | ||
Rpp32f * | frequencyXTensor, | ||
Rpp32f * | frequencyYTensor, | ||
Rpp32f * | phaseXTensor, | ||
Rpp32f * | phaseYTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Water augmentation on HIP backend for a NCHW/NHWC layout tensor.
The water augmentation adds a water effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] amplitudeXTensor amplitudeX values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] amplitudeYTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] freqXTensor freqX values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] freqYTensor freqY values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] phaseXTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] phaseYTensor amplitudeY values for water effect (1D tensor in pinned/HOST memory, of size batchSize) [in] roiTensorPtrSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_water_host()
RppStatus rppt_water_host | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32f * | amplitudeXTensor, | ||
Rpp32f * | amplitudeYTensor, | ||
Rpp32f * | frequencyXTensor, | ||
Rpp32f * | frequencyYTensor, | ||
Rpp32f * | phaseXTensor, | ||
Rpp32f * | phaseYTensor, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Water augmentation on HOST backend for a NCHW/NHWC layout tensor.
The water augmentation adds a water effect for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HOST memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] amplitudeXTensor amplitudeX values for water effect (1D tensor in HOST memory, of size batchSize) [in] amplitudeYTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize) [in] freqXTensor freqX values for water effect (1D tensor in HOST memory, of size batchSize) [in] freqYTensor freqY values for water effect (1D tensor in HOST memory, of size batchSize) [in] phaseXTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize) [in] phaseYTensor amplitudeY values for water effect (1D tensor in HOST memory, of size batchSize) [in] roiTensorPtrSrc ROI data in HOST memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.