mirror of
https://github.com/NVIDIA/cuda-samples.git
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238 lines
7.7 KiB
C++
238 lines
7.7 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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const static char *const sSDKsample = "HSOpticalFlow";
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// CPU-GPU discrepancy threshold for self-test
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const float THRESHOLD = 0.05f;
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#include <cuda_runtime.h>
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#include "common.h"
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#include "flowGold.h"
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#include "flowCUDA.h"
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#include <helper_functions.h>
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///////////////////////////////////////////////////////////////////////////////
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/// \brief save optical flow in format described on vision.middlebury.edu/flow
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/// \param[in] name output file name
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/// \param[in] w optical flow field width
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/// \param[in] h optical flow field height
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/// \param[in] s optical flow field row stride
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/// \param[in] u horizontal displacement
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/// \param[in] v vertical displacement
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///////////////////////////////////////////////////////////////////////////////
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void WriteFloFile(const char *name, int w, int h, int s, const float *u,
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const float *v) {
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FILE *stream;
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stream = fopen(name, "wb");
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if (stream == 0) {
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printf("Could not save flow to \"%s\"\n", name);
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return;
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}
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float data = 202021.25f;
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fwrite(&data, sizeof(float), 1, stream);
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fwrite(&w, sizeof(w), 1, stream);
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fwrite(&h, sizeof(h), 1, stream);
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for (int i = 0; i < h; ++i) {
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for (int j = 0; j < w; ++j) {
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const int pos = j + i * s;
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fwrite(u + pos, sizeof(float), 1, stream);
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fwrite(v + pos, sizeof(float), 1, stream);
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}
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}
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fclose(stream);
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}
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///////////////////////////////////////////////////////////////////////////////
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/// \brief
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/// load 4-channel unsigned byte image
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/// and convert it to single channel FP32 image
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/// \param[out] img_data pointer to raw image data
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/// \param[out] img_w image width
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/// \param[out] img_h image height
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/// \param[out] img_s image row stride
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/// \param[in] name image file name
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/// \param[in] exePath executable file path
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/// \return true if image is successfully loaded or false otherwise
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///////////////////////////////////////////////////////////////////////////////
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bool LoadImageAsFP32(float *&img_data, int &img_w, int &img_h, int &img_s,
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const char *name, const char *exePath) {
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printf("Loading \"%s\" ...\n", name);
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char *name_ = sdkFindFilePath(name, exePath);
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if (!name_) {
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printf("File not found\n");
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return false;
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}
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unsigned char *data = 0;
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unsigned int w = 0, h = 0;
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bool result = sdkLoadPPM4ub(name_, &data, &w, &h);
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if (result == false) {
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printf("Invalid file format\n");
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return false;
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}
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img_w = w;
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img_h = h;
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img_s = iAlignUp(img_w);
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img_data = new float[img_s * h];
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// source is 4 channel image
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const int widthStep = 4 * img_w;
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for (int i = 0; i < img_h; ++i) {
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for (int j = 0; j < img_w; ++j) {
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img_data[j + i * img_s] = ((float)data[j * 4 + i * widthStep]) / 255.0f;
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}
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}
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return true;
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}
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///////////////////////////////////////////////////////////////////////////////
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/// \brief compare given flow field with gold (L1 norm)
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/// \param[in] width optical flow field width
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/// \param[in] height optical flow field height
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/// \param[in] stride optical flow field row stride
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/// \param[in] h_uGold horizontal displacement, gold
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/// \param[in] h_vGold vertical displacement, gold
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/// \param[in] h_u horizontal displacement
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/// \param[in] h_v vertical displacement
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/// \return true if discrepancy is lower than a given threshold
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///////////////////////////////////////////////////////////////////////////////
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bool CompareWithGold(int width, int height, int stride, const float *h_uGold,
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const float *h_vGold, const float *h_u, const float *h_v) {
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float error = 0.0f;
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for (int i = 0; i < height; ++i) {
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for (int j = 0; j < width; ++j) {
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const int pos = j + i * stride;
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error += fabsf(h_u[pos] - h_uGold[pos]) + fabsf(h_v[pos] - h_vGold[pos]);
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}
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}
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error /= (float)(width * height);
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printf("L1 error : %.6f\n", error);
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return (error < THRESHOLD);
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}
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///////////////////////////////////////////////////////////////////////////////
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/// application entry point
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///////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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// welcome message
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printf("%s Starting...\n\n", sSDKsample);
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// pick GPU
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findCudaDevice(argc, (const char **)argv);
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// find images
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const char *const sourceFrameName = "frame10.ppm";
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const char *const targetFrameName = "frame11.ppm";
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// image dimensions
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int width;
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int height;
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// row access stride
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int stride;
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// flow is computed from source image to target image
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float *h_source; // source image, host memory
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float *h_target; // target image, host memory
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// load image from file
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if (!LoadImageAsFP32(h_source, width, height, stride, sourceFrameName,
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argv[0])) {
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exit(EXIT_FAILURE);
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}
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if (!LoadImageAsFP32(h_target, width, height, stride, targetFrameName,
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argv[0])) {
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exit(EXIT_FAILURE);
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}
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// allocate host memory for CPU results
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float *h_uGold = new float[stride * height];
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float *h_vGold = new float[stride * height];
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// allocate host memory for GPU results
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float *h_u = new float[stride * height];
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float *h_v = new float[stride * height];
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// smoothness
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// if image brightness is not within [0,1]
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// this paramter should be scaled appropriately
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const float alpha = 0.2f;
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// number of pyramid levels
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const int nLevels = 5;
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// number of solver iterations on each level
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const int nSolverIters = 500;
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// number of warping iterations
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const int nWarpIters = 3;
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ComputeFlowGold(h_source, h_target, width, height, stride, alpha, nLevels,
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nWarpIters, nSolverIters, h_uGold, h_vGold);
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ComputeFlowCUDA(h_source, h_target, width, height, stride, alpha, nLevels,
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nWarpIters, nSolverIters, h_u, h_v);
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// compare results (L1 norm)
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bool status =
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CompareWithGold(width, height, stride, h_uGold, h_vGold, h_u, h_v);
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WriteFloFile("FlowGPU.flo", width, height, stride, h_u, h_v);
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WriteFloFile("FlowCPU.flo", width, height, stride, h_uGold, h_vGold);
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// free resources
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delete[] h_uGold;
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delete[] h_vGold;
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delete[] h_u;
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delete[] h_v;
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delete[] h_source;
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delete[] h_target;
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// report self-test status
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exit(status ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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