cuda-samples/Samples/5_Domain_Specific/HSOpticalFlow/main.cpp

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2022-01-13 14:05:24 +08:00
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
2021-10-21 19:04:49 +08:00
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
const static char *const sSDKsample = "HSOpticalFlow";
// CPU-GPU discrepancy threshold for self-test
const float THRESHOLD = 0.05f;
#include <cuda_runtime.h>
#include "common.h"
#include "flowGold.h"
#include "flowCUDA.h"
#include <helper_functions.h>
///////////////////////////////////////////////////////////////////////////////
/// \brief save optical flow in format described on vision.middlebury.edu/flow
/// \param[in] name output file name
/// \param[in] w optical flow field width
/// \param[in] h optical flow field height
/// \param[in] s optical flow field row stride
/// \param[in] u horizontal displacement
/// \param[in] v vertical displacement
///////////////////////////////////////////////////////////////////////////////
void WriteFloFile(const char *name, int w, int h, int s, const float *u,
const float *v) {
FILE *stream;
stream = fopen(name, "wb");
if (stream == 0) {
printf("Could not save flow to \"%s\"\n", name);
return;
}
float data = 202021.25f;
fwrite(&data, sizeof(float), 1, stream);
fwrite(&w, sizeof(w), 1, stream);
fwrite(&h, sizeof(h), 1, stream);
for (int i = 0; i < h; ++i) {
for (int j = 0; j < w; ++j) {
const int pos = j + i * s;
fwrite(u + pos, sizeof(float), 1, stream);
fwrite(v + pos, sizeof(float), 1, stream);
}
}
fclose(stream);
}
///////////////////////////////////////////////////////////////////////////////
/// \brief
/// load 4-channel unsigned byte image
/// and convert it to single channel FP32 image
/// \param[out] img_data pointer to raw image data
/// \param[out] img_w image width
/// \param[out] img_h image height
/// \param[out] img_s image row stride
/// \param[in] name image file name
/// \param[in] exePath executable file path
/// \return true if image is successfully loaded or false otherwise
///////////////////////////////////////////////////////////////////////////////
bool LoadImageAsFP32(float *&img_data, int &img_w, int &img_h, int &img_s,
const char *name, const char *exePath) {
printf("Loading \"%s\" ...\n", name);
char *name_ = sdkFindFilePath(name, exePath);
if (!name_) {
printf("File not found\n");
return false;
}
unsigned char *data = 0;
unsigned int w = 0, h = 0;
bool result = sdkLoadPPM4ub(name_, &data, &w, &h);
if (result == false) {
printf("Invalid file format\n");
return false;
}
img_w = w;
img_h = h;
img_s = iAlignUp(img_w);
img_data = new float[img_s * h];
// source is 4 channel image
const int widthStep = 4 * img_w;
for (int i = 0; i < img_h; ++i) {
for (int j = 0; j < img_w; ++j) {
img_data[j + i * img_s] = ((float)data[j * 4 + i * widthStep]) / 255.0f;
}
}
return true;
}
///////////////////////////////////////////////////////////////////////////////
/// \brief compare given flow field with gold (L1 norm)
/// \param[in] width optical flow field width
/// \param[in] height optical flow field height
/// \param[in] stride optical flow field row stride
/// \param[in] h_uGold horizontal displacement, gold
/// \param[in] h_vGold vertical displacement, gold
/// \param[in] h_u horizontal displacement
/// \param[in] h_v vertical displacement
/// \return true if discrepancy is lower than a given threshold
///////////////////////////////////////////////////////////////////////////////
bool CompareWithGold(int width, int height, int stride, const float *h_uGold,
const float *h_vGold, const float *h_u, const float *h_v) {
float error = 0.0f;
for (int i = 0; i < height; ++i) {
for (int j = 0; j < width; ++j) {
const int pos = j + i * stride;
error += fabsf(h_u[pos] - h_uGold[pos]) + fabsf(h_v[pos] - h_vGold[pos]);
}
}
error /= (float)(width * height);
printf("L1 error : %.6f\n", error);
return (error < THRESHOLD);
}
///////////////////////////////////////////////////////////////////////////////
/// application entry point
///////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv) {
// welcome message
printf("%s Starting...\n\n", sSDKsample);
// pick GPU
findCudaDevice(argc, (const char **)argv);
// find images
const char *const sourceFrameName = "frame10.ppm";
const char *const targetFrameName = "frame11.ppm";
// image dimensions
int width;
int height;
// row access stride
int stride;
// flow is computed from source image to target image
float *h_source; // source image, host memory
float *h_target; // target image, host memory
// load image from file
if (!LoadImageAsFP32(h_source, width, height, stride, sourceFrameName,
argv[0])) {
exit(EXIT_FAILURE);
}
if (!LoadImageAsFP32(h_target, width, height, stride, targetFrameName,
argv[0])) {
exit(EXIT_FAILURE);
}
// allocate host memory for CPU results
float *h_uGold = new float[stride * height];
float *h_vGold = new float[stride * height];
// allocate host memory for GPU results
float *h_u = new float[stride * height];
float *h_v = new float[stride * height];
// smoothness
// if image brightness is not within [0,1]
// this paramter should be scaled appropriately
const float alpha = 0.2f;
// number of pyramid levels
const int nLevels = 5;
// number of solver iterations on each level
const int nSolverIters = 500;
// number of warping iterations
const int nWarpIters = 3;
ComputeFlowGold(h_source, h_target, width, height, stride, alpha, nLevels,
nWarpIters, nSolverIters, h_uGold, h_vGold);
ComputeFlowCUDA(h_source, h_target, width, height, stride, alpha, nLevels,
nWarpIters, nSolverIters, h_u, h_v);
// compare results (L1 norm)
bool status =
CompareWithGold(width, height, stride, h_uGold, h_vGold, h_u, h_v);
WriteFloFile("FlowGPU.flo", width, height, stride, h_u, h_v);
WriteFloFile("FlowCPU.flo", width, height, stride, h_uGold, h_vGold);
// free resources
delete[] h_uGold;
delete[] h_vGold;
delete[] h_u;
delete[] h_v;
delete[] h_source;
delete[] h_target;
// report self-test status
exit(status ? EXIT_SUCCESS : EXIT_FAILURE);
}