mirror of
https://github.com/NVIDIA/cuda-samples.git
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153 lines
4.8 KiB
Plaintext
153 lines
4.8 KiB
Plaintext
/* Copyright (c) 2019, 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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#include <stdlib.h>
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <fstream>
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#include <iostream>
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include "resize_convert.h"
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#include "utils.h"
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__global__ void floatToChar(float *src, unsigned char *dst, int height,
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int width, int batchSize) {
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int x = threadIdx.x + blockIdx.x * blockDim.x;
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if (x >= height * width) return;
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int offset = height * width * 3;
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for (int j = 0; j < batchSize; j++) {
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// b
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*(dst + j * offset + x * 3 + 0) =
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(unsigned char)*(src + j * offset + height * width * 0 + x);
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// g
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*(dst + j * offset + x * 3 + 1) =
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(unsigned char)*(src + j * offset + height * width * 1 + x);
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// r
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*(dst + j * offset + x * 3 + 2) =
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(unsigned char)*(src + j * offset + height * width * 2 + x);
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}
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}
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void floatPlanarToChar(float *src, unsigned char *dst, int height, int width,
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int batchSize) {
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floatToChar<<<(height * width - 1) / 1024 + 1, 1024, 0, NULL>>>(
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src, dst, height, width, batchSize);
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}
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void dumpRawBGR(float *d_srcBGR, int pitch, int width, int height,
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int batchSize, char *folder, char *tag) {
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float *bgr, *d_bgr;
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int frameSize;
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char directory[120];
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char mkdir_cmd[256];
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#if !defined(_WIN32)
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sprintf(directory, "output/%s", folder);
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sprintf(mkdir_cmd, "mkdir -p %s 2> /dev/null", directory);
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#else
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sprintf(directory, "output\\%s", folder);
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sprintf(mkdir_cmd, "mkdir %s 2> nul", directory);
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#endif
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int ret = system(mkdir_cmd);
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frameSize = width * height * 3 * sizeof(float);
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bgr = (float *)malloc(frameSize);
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if (bgr == NULL) {
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std::cerr << "Failed malloc for bgr\n";
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return;
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}
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d_bgr = d_srcBGR;
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for (int i = 0; i < batchSize; i++) {
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char filename[120];
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std::ofstream *outputFile;
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checkCudaErrors(cudaMemcpy((void *)bgr, (void *)d_bgr, frameSize,
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cudaMemcpyDeviceToHost));
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sprintf(filename, "%s/%s_%d.raw", directory, tag, (i + 1));
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outputFile = new std::ofstream(filename);
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if (outputFile) {
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outputFile->write((char *)bgr, frameSize);
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delete outputFile;
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}
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d_bgr += pitch * height * 3;
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}
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free(bgr);
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}
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void dumpBGR(float *d_srcBGR, int pitch, int width, int height, int batchSize,
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char *folder, char *tag) {
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dumpRawBGR(d_srcBGR, pitch, width, height, batchSize, folder, tag);
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}
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void dumpYUV(unsigned char *d_nv12, int size, char *folder, char *tag) {
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unsigned char *nv12Data;
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std::ofstream *nv12File;
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char filename[120];
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char directory[60];
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char mkdir_cmd[256];
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#if !defined(_WIN32)
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sprintf(directory, "output/%s", folder);
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sprintf(mkdir_cmd, "mkdir -p %s 2> /dev/null", directory);
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#else
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sprintf(directory, "output\\%s", folder);
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sprintf(mkdir_cmd, "mkdir %s 2> nul", directory);
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#endif
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int ret = system(mkdir_cmd);
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sprintf(filename, "%s/%s.nv12", directory, tag);
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nv12File = new std::ofstream(filename);
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if (nv12File == NULL) {
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std::cerr << "Failed to new " << filename;
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return;
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}
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nv12Data = (unsigned char *)malloc(size * (sizeof(char)));
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if (nv12Data == NULL) {
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std::cerr << "Failed to allcoate memory\n";
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return;
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}
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cudaMemcpy((void *)nv12Data, (void *)d_nv12, size, cudaMemcpyDeviceToHost);
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nv12File->write((const char *)nv12Data, size);
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free(nv12Data);
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delete nv12File;
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}
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