test.cpp
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#include <iostream>
#include <sstream>
#include <fstream>
#include "vpt.h"
#include "opencv2/opencv.hpp"
#include "opencv2/imgcodecs/legacy/constants_c.h"
#include "opencv2/imgproc/types_c.h"
#include "time.h"
#include "sys/time.h"
#include "sy_errorinfo.h"
#include "utils.h"
#include "dvpp_process.h"
#include <chrono>
#include <dirent.h>
using namespace std;
using namespace cv;
double msecond() {
struct timeval tv;
gettimeofday(&tv, 0);
return (tv.tv_sec * 1000.0 + tv.tv_usec / 1000.0);
}
void getAllNm(std::string pthNm, std::vector<std::string>& fileList)
{
DIR *dir;
struct dirent *ptr;
dir = opendir(pthNm.c_str()); ///open the dir
int filenum = 0;
while((ptr = readdir(dir)) != NULL) ///read the list of this dir
{
// char* to string
std::string curNm = ptr->d_name;
if(curNm != "." && curNm != "..")
{
filenum++;
fileList.push_back(curNm);
//printf("file %d name: %s\n", filenum, curNm.c_str());
}
}
closedir(dir);
}
int main() {
cout << vpt_get_version() << endl;
vpt_param param;
// param.modelNames = "vpt0715_310p.om";
param.modelNames = "vpt230323_310p.om";
param.threshold = 0.4;
param.devId = 0;
param.isTrk = false;
void* handle = nullptr;
cout << "init start " << endl;
ACL_CALL(aclInit(nullptr), ACL_SUCCESS, SY_FAILED);
ACL_CALL(aclrtSetDevice(param.devId), ACL_SUCCESS, SY_FAILED);
aclrtContext ctx;
ACL_CALL(aclrtCreateContext(&ctx, param.devId), ACL_SUCCESS, SY_FAILED);
aclrtStream stream = nullptr;
ACL_CALL(aclrtCreateStream(&stream), ACL_SUCCESS, SY_FAILED);
DvppProcess* dvpp = new DvppProcess();
dvpp->InitResource(stream);
int ret = vpt_init(&handle, param);
if (ret == 0) {
cout << "init success " << endl;
ifstream infile("list.txt");
string file;
if(1) {
// while (infile >> file) {
// string filename = "700W/" + file;
// string filename = "imgs/" + file;
// const char* img_file_path="examples/";
const char* img_file_path="imgs/";
std::vector<std::string> fileList;
getAllNm(img_file_path,fileList);
if (fileList.empty()) throw std::logic_error("No suitable images were found");
double t3 = 0;
for (auto & file : fileList) {
string filename = img_file_path + file;
cout << "img path: " << filename << endl;
const int batchsize = 5;
sy_img imgs[batchsize];
//debug====================================================================
double pt1,pt2,st1,st2;
st1 = msecond();
ImageData src[batchsize], dvpp_data[batchsize];
for (int b = 0; b < batchsize; b++) {
Utils::ReadImageFile(src[b], filename); //将二进制图像读入内存，并读取宽高信息
pt1 = msecond();
ACL_CALL(dvpp->CvtJpegToYuv420sp(dvpp_data[b], src[b]), SY_SUCCESS, SY_FAILED); //解码
pt2 = msecond();
printf("debug decode time: %.2f\n", pt2 - pt1);
imgs[b].w_ = dvpp_data[b].width;//dvpp_data[b].alignWidth;
imgs[b].h_ = dvpp_data[b].height;//dvpp_data[b].alignHeight;
imgs[b].data_ = dvpp_data[b].data.get();
}
st2 = msecond();
printf("debug dvpp process time: %.2f\n", (st2 - st1)/batchsize);
// printf("debug:%d\n",__LINE__);
//debug end================================================================
vpt_result * results = new vpt_result[batchsize];
for (int b = 0; b < batchsize; b++) {
results[b].obj_results_ = new vpt_obj_result[MAX_DET_COUNT];
}
double t1,t2;
t1 = msecond();
int ret = vpt_batch(handle, imgs, batchsize, results);
t2 = msecond();
printf("debug mean process time: %.2f\n", (t2 - t1)/batchsize);
t3 = t3 + t2-t1;
//debug==========================================================
// vpt_result* results_b10;
// t1 = msecond();
// ret = vpt_batch10(handle, imgs, batchsize, &results_b10);
// t2 = msecond();
// printf("debug mean batch process time: %.2f\n", (t2 - t1)/batchsize);
//debug end======================================================
// draw results
Mat cvImg = imread(filename.c_str());
for(int batchIdx = 0; batchIdx < batchsize; batchIdx ++) {
printf("debug det num:%d\n",results[batchIdx].obj_count_);
for (int i = 0; i < results[batchIdx].obj_count_; i++) {
// record===============================================================================================================
float xmin = results[batchIdx].obj_results_[i].obj_rect.left_;
float ymin = results[batchIdx].obj_results_[i].obj_rect.top_;
float xmax = results[batchIdx].obj_results_[i].obj_rect.width_ + results[batchIdx].obj_results_[i].obj_rect.left_;
float ymax = results[batchIdx].obj_results_[i].obj_rect.height_ + results[batchIdx].obj_results_[i].obj_rect.top_;
float txc = (xmin + xmax) / 2.0; // x center
float tyc = (ymin + ymax) / 2.0; // y center
float tw = results[batchIdx].obj_results_[i].obj_rect.width_;
float th = results[batchIdx].obj_results_[i].obj_rect.height_;
int label = results[batchIdx].obj_results_[i].obj_index;
float score = results[batchIdx].obj_results_[i].obj_score;
//printf("=====:%d %8.12f %8.12f %8.12f %8.12f %8.12f\n",label, xmin/cvImg.cols,ymin/cvImg.rows,xmax/cvImg.cols,ymax/cvImg.rows, score);
//printf("%%%%%:%d %8.12f %8.12f %8.12f %8.12f %8.12f\n",label, txc/cvImg.cols,tyc/cvImg.rows,tw/cvImg.cols,th/cvImg.rows, score);
// record end===========================================================================================================
Point lt(results[batchIdx].obj_results_[i].obj_rect.left_, results[batchIdx].obj_results_[i].obj_rect.top_);
Point rb((results[batchIdx].obj_results_[i].obj_rect.left_ +
results[batchIdx].obj_results_[i].obj_rect.width_), (results[batchIdx].obj_results_[i].obj_rect.top_ +
results[batchIdx].obj_results_[i].obj_rect.height_));
rectangle(cvImg, lt, rb, cv::Scalar(0, 0, 255), 4);
// cout << results[batchIdx].obj_results_[i].obj_rect.left_ << " "<< results[batchIdx].obj_results_[i].obj_rect.top_ <<" " << results[batchIdx].obj_results_[i].obj_rect.width_ << " " << results[batchIdx].obj_results_[i].obj_rect.height_ << endl;
char buffer[50];
int fontface = cv::FONT_HERSHEY_SIMPLEX;
double scale = 0.8;
int thickness = 2;
int baseline = 0;
snprintf(buffer, sizeof(buffer), "%d:%.2f", results[batchIdx].obj_results_[i].obj_index,results[batchIdx].obj_results_[i].obj_score);
cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness, &baseline);
cv::putText(cvImg, buffer, lt - cv::Point(0, baseline), fontface,
scale, cv::Scalar(0, 0, 255), thickness, 4);
}
string jpgSaveName = "result/" + file;
cv::imwrite(jpgSaveName, cvImg);
}
for (int i = 0; i < batchsize; i++) {
delete [] results[i].obj_results_;
}
delete [] results;
// for(int batchIdx = 0; batchIdx < batchsize; batchIdx ++){
// printf("debug det_b10 num:%d\n",results_b10[batchIdx].obj_count_);
// for (int i = 0; i < results_b10[batchIdx].obj_count_; i++) {
// Point lt(results_b10[batchIdx].obj_results_[i].obj_rect.left_, results_b10[batchIdx].obj_results_[i].obj_rect.top_);
// Point rb((results_b10[batchIdx].obj_results_[i].obj_rect.left_ +
// results_b10[batchIdx].obj_results_[i].obj_rect.width_), (results_b10[batchIdx].obj_results_[i].obj_rect.top_ +
// results_b10[batchIdx].obj_results_[i].obj_rect.height_));
// rectangle(cvImg, lt, rb, cv::Scalar(0, 0, 255), 4);
// // cout << results[batchIdx].obj_results_[i].obj_rect.left_ << " "<< results[batchIdx].obj_results_[i].obj_rect.top_ <<" " << results[batchIdx].obj_results_[i].obj_rect.width_ << " " << results[batchIdx].obj_results_[i].obj_rect.height_ << endl;
// char buffer[50];
// int fontface = cv::FONT_HERSHEY_SIMPLEX;
// double scale = 0.8;
// int thickness = 2;
// int baseline = 0;
// snprintf(buffer, sizeof(buffer), "%d:%.2f", results_b10[batchIdx].obj_results_[i].obj_index,results_b10[batchIdx].obj_results_[i].obj_score);
// cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness, &baseline);
// cv::putText(cvImg, buffer, lt - cv::Point(0, baseline), fontface,
// scale, cv::Scalar(0, 0, 255), thickness, 4);
// }
// string jpgSaveName = "result/" + file;
// cv::imwrite(jpgSaveName, cvImg);
// }
}
printf("mean time cost:%f\n",t3/fileList.size());
}
if(0) {
const int batchsize = 10;
sy_img imgs[batchsize];
ImageData src[batchsize], dvpp_data[batchsize];
int b = 0;
const char* img_file_path="imgs/";
std::vector<std::string> fileList;
getAllNm(img_file_path,fileList);
if (fileList.empty()) throw std::logic_error("No suitable images were found");
for (auto & file : fileList) {
string filename = img_file_path + file;
cout << "img path: " << filename << endl;
//debug====================================================================
if(b < batchsize) {
Utils::ReadImageFile(src[b], filename); //将二进制图像读入内存，并读取宽高信息
ACL_CALL(dvpp->CvtJpegToYuv420sp(dvpp_data[b], src[b]), SY_SUCCESS, SY_FAILED); //解码
imgs[b].w_ = dvpp_data[b].width;
imgs[b].h_ = dvpp_data[b].height;
imgs[b].data_ = dvpp_data[b].data.get();
b ++;
}
if(b == batchsize) {
b = 0;
vpt_result * results = new vpt_result[batchsize];
for (int b = 0; b < batchsize; b++) {
results[b].obj_results_ = new vpt_obj_result[MAX_DET_COUNT];
}
double t1,t2;
t1 = msecond();
int ret = vpt_batch(handle, imgs, batchsize, results);
t2 = msecond();
printf("debug mean process time: %.2f\n", (t2 - t1)/batchsize);
//debug==========================================================
// vpt_result* results_b10;
// t1 = msecond();
// ret = vpt_batch10(handle, imgs, batchsize, &results_b10);
// t2 = msecond();
// printf("debug mean batch process time: %.2f\n", (t2 - t1)/batchsize);
//debug end======================================================
//draw results
for(int batchIdx = 0; batchIdx < batchsize; batchIdx ++){
printf("debug det num:%d\n",results[batchIdx].obj_count_);
// printf("debug det_b10 num:%d\n",results_b10[batchIdx].obj_count_);
}
for (int i = 0; i < batchsize; i++) {
delete [] results[i].obj_results_;
}
delete [] results;
// debug================================
// for (int b = 0; b < batchsize; b++) {
// delete [] src[b].data.get();
// delete [] dvpp_data[b].data.get();
// // delete[] imgs[b].data_ ;
// imgs[b].data_ = NULL;
// }
// debug end============================
}
} }
}
vpt_release(&handle);
aclrtDestroyStream(stream);
aclrtDestroyContext(ctx);
aclrtResetDevice(param.devId);
aclFinalize();
return 0;
}