main.cpp
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#ifdef _MSC_VER
#include "../vpt_det/vpt.h"
#else
#include "vpt.h"
#endif
#include <highgui.h>
#include <opencv2/opencv.hpp>
#include <fstream>
#include <iostream>
#include "sy_common.h"
#include "utools.h"
#include <vector>
#ifdef _WIN32
#include<windows.h>
#else
#include <sys/time.h>
#endif
int main()
{
#ifdef _MSC_VER
LARGE_INTEGER nFreq, nBeginTime, nEndTime;
QueryPerformanceFrequency(&nFreq);
#else
struct timeval t1, t2;
#endif
double time_val = 0;
std::vector<double> time_Array;
CvFont font;
cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0, 0, 1, 3);
int fontFace = CV_FONT_HERSHEY_COMPLEX;
double fontScale = 1;
int thickness = 2;
static std::string type[9] = { "person", "bike", "motor", "tricycle", "car", "bigbus", "lorry", "tractor", "midibus" };
void* handle;
vpt_param param;
param.mode = DEVICE_GPU;
param.gpuid = 0;
param.threshold = 0.6;
param.engine = ENGINE_TENSORRT;
param.preprocess_param =
"CopyData_CPU2GPU_U8;"
"TypeConvert_U8_F32;"
"ResizePad_F32_F32,test_size,720,test_max_size,1280,fpn_coarsest_stride,32,"
"submean_b,103.94,submean_g,116.78,submean_r,123.68,"
"variance_rev_b,0.017,variance_rev_g,0.017,variance_rev_r,0.017;"
"NHWC2NCHW_F32"
;
param.serialize_file = "FPN_VPT";
param.max_batch = 20;
vpt_init(&handle, param);
const int batchsize = 10;
/*³õʼ»¯½á¹û½á¹¹Ìå*/
vpt_result *result = new vpt_result[batchsize];
for (int b = 0; b < batchsize; b++)
{
result[b].obj_count_ = 0;
result[b].obj_results_ = new vpt_obj_result[MAX_DET_COUNT];
}
//CTOOLS_Img *images = new CTOOLS_Img[batchsize];
//cv::Mat img;
sy_img images[batchsize];
cv::Mat img[batchsize];
char strpath[1024];
memset(strpath, 0, sizeof(strpath));
for (int b = 0; b < batchsize; b++)
{
#ifdef _MSC_VER
sprintf(strpath, "../../../data/%d.jpg", b);// b);
#else
sprintf(strpath, "../../data/%d.jpg", b);
#endif
//cv::Mat img/*[b]*/;
//memset(&img, 0, sizeof(img));
img[b] = cv::imread(strpath);
images[b].set_data(img[b].cols, img[b].rows, img[b].channels(), img[b].data);
}
//vpt_batch(handle, images, batchsize, &result);
int count = 1000;
while (count--)
{
#ifdef _MSC_VER
QueryPerformanceCounter(&nBeginTime);
#else
gettimeofday(&t1, NULL);
#endif
vpt_batch(handle, images, batchsize, &result);
#ifdef _MSC_VER
QueryPerformanceCounter(&nEndTime);
time_val = (double)(nEndTime.QuadPart - nBeginTime.QuadPart) * 1000 / (double)nFreq.QuadPart;
printf("vpt_batch cost: %.2f ms \n", time_val);
#else
gettimeofday(&t2, NULL);
time_val = ((t2.tv_sec - t1.tv_sec) * 1000000 + t2.tv_usec - t1.tv_usec) / 1000.0;
printf("vpt_batch cost= %lf ms\n", time_val);
#endif
time_Array.push_back(time_val);
}
double total = 0;
for (int n = 1; n < time_Array.size(); n++)
{
total += time_Array[n];
}
printf("batch size: %d, vpt_batch avg cost: %.2f\n", batchsize, total / (time_Array.size() - 1));
for (int b = 0; b < batchsize; b++)
{
std::cout << "b: " << b << ", count: " << result[b].obj_count_ << std::endl;
for (int c = 0; c < result[b].obj_count_; c++)
{
char str_i[100];
sprintf(str_i, "%s:%.2f", type[result[b].obj_results_[c].obj_index].c_str(), result[b].obj_results_[c].obj_score);
rectangle(img[b],
cvPoint(result[b].obj_results_[c].obj_rect.left_ - 5, result[b].obj_results_[c].obj_rect.top_ - 15),
cvPoint(result[b].obj_results_[c].obj_rect.left_ + result[b].obj_results_[c].obj_rect.width_ + 5,
result[b].obj_results_[c].obj_rect.top_ + result[b].obj_results_[c].obj_rect.height_ + 10),
cv::Scalar(127, 64, 120), 3, 1);
cv::putText(img[b], str_i,
cv::Point(result[b].obj_results_[c].obj_rect.left_, result[b].obj_results_[c].obj_rect.top_),
fontFace, fontScale,
cv::Scalar(58, 158, 199), thickness, 8);
}
#ifdef _MSC_VER
//cv::imshow("RES", image);
//cv::waitKey(0);
cv::Mat showImg;
cv::resize(img[b], showImg, cv::Size(640, 480));
cv::imshow("image", showImg);
cv::waitKey(0);
#else
sprintf(strpath, "vpt_result/%d.jpg", b);
cv::imwrite(strpath, img[b]);
#endif
}
vpt_release(&handle);
return 0;
}