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rppi_computer_vision.h
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48 // Performs the 8 neighbor Local Binary Pattern (LBP), where the LBP for each pixel is defined by comparing the pixel value against its 8 neighbors, for a batch of images
52 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
55 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
60 RppStatus rppi_local_binary_pattern_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
61 RppStatus rppi_local_binary_pattern_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
62 RppStatus rppi_local_binary_pattern_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
64 RppStatus rppi_local_binary_pattern_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
65 RppStatus rppi_local_binary_pattern_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
66 RppStatus rppi_local_binary_pattern_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
75 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
78 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
83 RppStatus rppi_data_object_copy_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
84 RppStatus rppi_data_object_copy_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
85 RppStatus rppi_data_object_copy_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
87 RppStatus rppi_data_object_copy_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
88 RppStatus rppi_data_object_copy_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
89 RppStatus rppi_data_object_copy_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
98 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
100 // *param[in] stdDev Array containing an Rpp32f stdDev for each image in the batch (stdDev[n] >= 0)
101 // *param[in] kernelSize Array containing an Rpp32u kernel size for each image in the batch (kernelSize[n] = 3/5/7 for optimal use)
103 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
108 RppStatus rppi_gaussian_image_pyramid_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
109 RppStatus rppi_gaussian_image_pyramid_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
110 RppStatus rppi_gaussian_image_pyramid_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
112 RppStatus rppi_gaussian_image_pyramid_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
113 RppStatus rppi_gaussian_image_pyramid_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
114 RppStatus rppi_gaussian_image_pyramid_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
123 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
125 // *param[in] stdDev Array containing an Rpp32f stdDev for each image in the batch (stdDev[n] >= 0)
126 // *param[in] kernelSize Array containing an Rpp32u kernel size for each image in the batch (kernelSize[n] = 3/5/7 for optimal use)
128 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
133 RppStatus rppi_laplacian_image_pyramid_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
134 RppStatus rppi_laplacian_image_pyramid_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
135 RppStatus rppi_laplacian_image_pyramid_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
137 RppStatus rppi_laplacian_image_pyramid_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
138 RppStatus rppi_laplacian_image_pyramid_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
139 RppStatus rppi_laplacian_image_pyramid_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
148 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
150 // *param[in] minThreshold Array containing an Rpp8u minimum threshold for every pixel in each image in the batch (0 <= minThreshold <= 255)
151 // *param[in] maxThreshold Array containing an Rpp8u maximum threshold for every pixel in each image in the batch (0 <= maxThreshold <= 255)
153 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
158 RppStatus rppi_canny_edge_detector_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
159 RppStatus rppi_canny_edge_detector_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
160 RppStatus rppi_canny_edge_detector_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
162 RppStatus rppi_canny_edge_detector_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
163 RppStatus rppi_canny_edge_detector_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
164 RppStatus rppi_canny_edge_detector_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp8u *minThreshold, Rpp8u *maxThreshold, Rpp32u nbatchSize, rppHandle_t rppHandle);
173 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
175 // *param[in] gaussianKernelSize Array containing an Rpp32u gaussian kernel size for each image in the batch (gaussianKernelSize[n] = 3/5/7 for optimal use)
176 // *param[in] stdDev Array containing an Rpp32f standard deviation for each image in the batch (stdDev >= 0)
177 // *param[in] kernelSize Array containing an Rpp32u corner detection kernel size for each image in the batch (kernelSize[n] = 3/5/7 for optimal use)
179 // *param[in] threshold Array containing an appropriate Rpp32f threshold for each image in the batch
180 // *param[in] nonmaxKernelSize Array containing an Rpp32u nonmax suppression kernel size for each image in the batch (nonmaxKernelSize[n] = 3/5/7 for optimal use)
182 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
187 RppStatus rppi_harris_corner_detector_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
188 RppStatus rppi_harris_corner_detector_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
189 RppStatus rppi_harris_corner_detector_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
191 RppStatus rppi_harris_corner_detector_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
192 RppStatus rppi_harris_corner_detector_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
193 RppStatus rppi_harris_corner_detector_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *gaussianKernelSize, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32f *kValue, Rpp32f *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
203 // *param[in] tensorDimensionValues Array of length - "tensorDimension", containing size of each dimension in the tensor
204 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
209 RppStatus rppi_tensor_convert_bit_depth_u8s8_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u tensorDimension, RppPtr_t tensorDimensionValues);
210 RppStatus rppi_tensor_convert_bit_depth_u8u16_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u tensorDimension, RppPtr_t tensorDimensionValues);
211 RppStatus rppi_tensor_convert_bit_depth_u8s16_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u tensorDimension, RppPtr_t tensorDimensionValues);
219 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
221 // *param[in] numOfPixels Array containing an Rpp32u minimum number of contiguous pixel to detect a corner, for each image in the batch (numOfPixels[n] >= 0)
222 // *param[in] threshold Array containing an appropriate Rpp8u intensity-difference threshold for corners for each image in the batch (0 <= threshold[n] <= 255)
223 // *param[in] nonmaxKernelSize Array containing an Rpp32u nonmax suppression kernel size for each image in the batch (nonmaxKernelSize[n] = 3/5/7/9/11/15 for optimal use)
225 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
230 RppStatus rppi_fast_corner_detector_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *numOfPixels, Rpp8u *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
231 RppStatus rppi_fast_corner_detector_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *numOfPixels, Rpp8u *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
232 RppStatus rppi_fast_corner_detector_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *numOfPixels, Rpp8u *threshold, Rpp32u *nonmaxKernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
236 // Performs a reconstruction of original image from its laplacian image pyramid for a batch of images
240 // *param[in] maxSrcSize1 A single RppiSize which is the maxWidth and maxHeight for all images in the image1 batch
243 // *param[in] maxSrcSize1 A single RppiSize which is the maxWidth and maxHeight for all images in the image2 batch
245 // *param[in] stdDev Array containing an Rpp32f standard deviation for each image in the batch (stdDev[n] >= 0)
246 // *param[in] kerenelSize Array containing an Rpp32u kernel size for each image in the batch (kernelSize[n] = 3/5/7 for optimal use)
248 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
253 RppStatus rppi_reconstruction_laplacian_image_pyramid_u8_pln1_batchPD_host(RppPtr_t srcPtr1, RppiSize *srcSize1, RppiSize maxSrcSize1, RppPtr_t srcPtr2, RppiSize *srcSize2, RppiSize maxSrcSize2, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
254 RppStatus rppi_reconstruction_laplacian_image_pyramid_u8_pln3_batchPD_host(RppPtr_t srcPtr1, RppiSize *srcSize1, RppiSize maxSrcSize1, RppPtr_t srcPtr2, RppiSize *srcSize2, RppiSize maxSrcSize2, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
255 RppStatus rppi_reconstruction_laplacian_image_pyramid_u8_pkd3_batchPD_host(RppPtr_t srcPtr1, RppiSize *srcSize1, RppiSize maxSrcSize1, RppPtr_t srcPtr2, RppiSize *srcSize2, RppiSize maxSrcSize2, RppPtr_t dstPtr, Rpp32f *stdDev, Rpp32u *kernelSize, Rpp32u nbatchSize, rppHandle_t rppHandle);
259 RppStatus rpp_bool_control_flow(bool num1, bool num2, bool *output, RppOp operation, rppHandle_t rppHandle);
260 RppStatus rpp_u8_control_flow(Rpp8u num1, Rpp8u num2, Rpp8u *output, RppOp operation, rppHandle_t rppHandle);
264 // Runs the hough lines algorithm using the progressive probabilistic Hough Transform to find lines in a batch of images (the inputs must be single channel outputs from a canny edge detector)
268 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
269 // *param[out] lines Output line coordinate in the form [x1_start, y1_start, x1_end, y1_end, x2_start, y2_start, x2_end, y2_end .....]
270 // *param[in] rho Array containing an Rpp32f rho for each image in the batch (Distance resolution of the parameter in pixels)
271 // *param[in] theta Array containing an Rpp32f theta for each image in the batch (Angle resolution of the parameter in radians)
272 // *param[in] threshold Array containing an Rpp32u threshold for each image in the batch (The minimum number of intersections to detect a line)
273 // *param[in] minLineLength Array containing an Rpp32u minimum line length for each image in the batch (The minimum number of points that can form a line. Line segments shorter than that are rejected)
274 // *param[in] maxLineGap Array containing an Rpp32u maximum line gap for each image in the batch (The maximum allowed gap between points on the same line to link them)
275 // *param[in] linesMax Array containing an Rpp32u maximum number of detected lines for each image in the batch
277 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
282 RppStatus rppi_hough_lines_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t lines, Rpp32f* rho, Rpp32f* theta, Rpp32u *threshold, Rpp32u *minLineLength, Rpp32u *maxLineGap, Rpp32u *linesMax, Rpp32u nbatchSize, rppHandle_t rppHandle);
290 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
292 // *param[in] binsTensorLength Array containing an Rpp32u length value of the HOG bins tensor for each image in the batch
293 // *param[in] kernelSize Array containing an RppiSize kernel width/height size pair for each image in the batch
294 // *param[in] windowSize Array containing an RppiSize window width/height size pair for each image in the batch (windowSize[n] must be even muliple of kernelSize[n])
296 // *param[in] numOfBins Array containing an Rpp32u number of HOG bins for each image in the batch
298 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
303 RppStatus rppi_hog_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t binsTensor, Rpp32u *binsTensorLength, RppiSize *kernelSize, RppiSize *windowSize, Rpp32u *windowStride, Rpp32u *numOfBins, Rpp32u nbatchSize, rppHandle_t rppHandle);
307 // Performs a remap operation using user specified remap tables for a batch of images. For each image, the output(x,y) = input(mapx(x, y), mapy(x, y)) for every (x,y) in the destination image
311 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
313 // *param[in] rowRemapTable Array of Rpp32u row numbers for every pixel in the input batch of images
314 // *param[in] colRemapTable Array of Rpp32u column numbers for every pixel in the input batch of images
316 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
321 RppStatus rppi_remap_u8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
322 RppStatus rppi_remap_u8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
323 RppStatus rppi_remap_u8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
325 RppStatus rppi_remap_u8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
326 RppStatus rppi_remap_u8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
327 RppStatus rppi_remap_u8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u *rowRemapTable, Rpp32u *colRemapTable, Rpp32u nbatchSize, rppHandle_t rppHandle);
339 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
344 RppStatus rppi_tensor_matrix_multiply_u8_host(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RppPtr_t dstPtr, RppPtr_t tensorDimensionValues1, RppPtr_t tensorDimensionValues2, rppHandle_t rppHandle);
346 RppStatus rppi_tensor_matrix_multiply_u8_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RppPtr_t dstPtr, RppPtr_t tensorDimensionValues1, RppPtr_t tensorDimensionValues2, rppHandle_t rppHandle);
351 // Performs a transpose of the input tensor based on the current shape and the permutation desired
357 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
362 RppStatus rppi_tensor_transpose_u8_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u *shape, Rpp32u *perm, rppHandle_t rppHandle);
363 RppStatus rppi_tensor_transpose_f16_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u *shape, Rpp32u *perm, rppHandle_t rppHandle);
364 RppStatus rppi_tensor_transpose_f32_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u *shape, Rpp32u *perm, rppHandle_t rppHandle);
365 RppStatus rppi_tensor_transpose_i8_host(RppPtr_t srcPtr, RppPtr_t dstPtr, Rpp32u *shape, Rpp32u *perm, rppHandle_t rppHandle);
367 RppStatus rppi_tensor_transpose_u8_gpu(RppPtr_t srcPtr, RppPtr_t dstPtr, RppPtr_t shape, RppPtr_t perm, rppHandle_t rppHandle);
368 RppStatus rppi_tensor_transpose_f16_gpu(RppPtr_t srcPtr, RppPtr_t dstPtr, RppPtr_t shape, RppPtr_t perm, rppHandle_t rppHandle);
369 RppStatus rppi_tensor_transpose_f32_gpu(RppPtr_t srcPtr, RppPtr_t dstPtr, RppPtr_t shape, RppPtr_t perm, rppHandle_t rppHandle);
370 RppStatus rppi_tensor_transpose_i8_gpu(RppPtr_t srcPtr, RppPtr_t dstPtr, RppPtr_t shape, RppPtr_t perm, rppHandle_t rppHandle);
379 // *param[in] maxSrcSize A single RppiSize which is the maxWidth and maxHeight for all images in the batch
382 // *param[in] rppHandle OpenCL-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
387 RppStatus rppi_convert_bit_depth_u8s8_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
388 RppStatus rppi_convert_bit_depth_u8u16_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
389 RppStatus rppi_convert_bit_depth_u8s16_pln1_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
390 RppStatus rppi_convert_bit_depth_u8s8_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
391 RppStatus rppi_convert_bit_depth_u8u16_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
392 RppStatus rppi_convert_bit_depth_u8s16_pln3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
393 RppStatus rppi_convert_bit_depth_u8s8_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
394 RppStatus rppi_convert_bit_depth_u8u16_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
395 RppStatus rppi_convert_bit_depth_u8s16_pkd3_batchPD_host(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
397 RppStatus rppi_convert_bit_depth_u8s8_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
398 RppStatus rppi_convert_bit_depth_u8u16_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
399 RppStatus rppi_convert_bit_depth_u8s16_pln1_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
400 RppStatus rppi_convert_bit_depth_u8s8_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
401 RppStatus rppi_convert_bit_depth_u8u16_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
402 RppStatus rppi_convert_bit_depth_u8s16_pln3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
403 RppStatus rppi_convert_bit_depth_u8s8_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
404 RppStatus rppi_convert_bit_depth_u8u16_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
405 RppStatus rppi_convert_bit_depth_u8s16_pkd3_batchPD_gpu(RppPtr_t srcPtr, RppiSize *srcSize, RppiSize maxSrcSize, RppPtr_t dstPtr, Rpp32u nbatchSize, rppHandle_t rppHandle);
RPP top-level header with RPP handle API.
RPP common HOST/GPU typedef, enum and structure definitions.