test.cpp
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#include <iostream>
#include <sstream>
#include <fstream>
#include "vpd.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);
}
void CvBGR2NV21(Mat& bgr, unsigned char* yuv) {
// int stride = (bgr.cols + 127) / 128 * 128;
int stride = (bgr.cols + 63) / 64 * 64;
int strideH = (bgr.rows + 15) / 16 * 16;
for (int i = 0; i < bgr.rows; i++) {
for (int j = 0; j < bgr.cols; j++) {
int B = bgr.at<cv::Vec3b>(i, j)[0];
int G = bgr.at<cv::Vec3b>(i, j)[1];
int R = bgr.at<cv::Vec3b>(i, j)[2];
int Y = (77 * R + 150 * G + 29 * B) >> 8;
yuv[i * stride + j] = (Y < 0) ? 0 : ((Y > 255) ? 255 : Y);
if (i % 2 == 0 && j % 2 == 0) {
int U = ((-44 * R - 87 * G + 131 * B) >> 8) + 128;
int V = ((131 * R - 110 * G - 21 * B) >> 8) + 128;
yuv[strideH * stride + i / 2 * stride + j] = (V < 0) ? 0 : ((V > 255) ? 255 : V);
yuv[strideH * stride + i / 2 * stride + j + 1] = (U < 0) ? 0 : ((U > 255) ? 255 : U);
}
}
}
}
int main() {
cout << vpd_get_version() << endl;
const char* img_file_path = "../../../data/vpd/";
string saveimagepath= "../../../data/result/";
vehicle_pendant_det_param param;
param.dmodelNames = "../vpd/models/vpd0707_310p.om";
param.dthresld = 0.3;
param.dlogo_thresld = 0.5;
param.devId = 0;
void* handle = nullptr;
cout << "init start " << endl;
ACL_CALL(aclInit(nullptr), ACL_ERROR_NONE, SY_FAILED);
ACL_CALL(aclrtSetDevice(param.devId), ACL_ERROR_NONE, SY_FAILED);
aclrtContext ctx;
ACL_CALL(aclrtCreateContext(&ctx, param.devId), ACL_ERROR_NONE, SY_FAILED);
aclrtStream stream = nullptr;
ACL_CALL(aclrtCreateStream(&stream), ACL_ERROR_NONE, SY_FAILED);
DvppProcess* dvpp = new DvppProcess();
dvpp->InitResource(stream);
int ret = vpd_init(&handle, param);
if (ret == 0) {
cout << "init success " << endl;
//ifstream infile("list.txt");
string file;
if(1) {
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;
Mat cvImg = imread(filename.c_str());
const int batchsize = 2;
sy_img imgs[batchsize];
//debug====================================================================
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
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();
}
//debug end================================================================
// uint32_t alignWidth = (cvImg.cols + 63) / 64 * 64; //310p宽64对齐
// uint32_t alignHeight = (cvImg.rows + 15) / 16 * 16;
// uint32_t size = alignWidth * alignHeight * 1.5;
// std::shared_ptr<uint8_t> data = shared_ptr<uint8_t>((new uint8_t[size]),
// [](uint8_t* p) {delete [] p;});
// CvBGR2NV21(cvImg, data.get());
// for (int i = 0; i < batchsize; i++) {
// imgs[i].w_ = cvImg.cols;
// imgs[i].h_ = cvImg.rows;
// imgs[i].data_ = data.get();
// }
vpd_result * results = new vpd_result[batchsize];
for (int b = 0; b < batchsize; b++) {
results[b].vpd_res = new vpd_info[OBJ_MAX_COUNT];
}
double t1,t2;
t1 = msecond();
int ret = vpd_process(handle, imgs, batchsize, results);
t2 = msecond();
printf("debug mean process time: %.2f\n", (t2 - t1)/batchsize);
if (SY_SUCCESS != ret) {
printf("vpd detection process failed!");
return SY_FAILED;
}
//debug==========================================================
// vpd_result * results_b10 = new vpd_result[batchsize];
// for (int b = 0; b < batchsize; b++) {
// results_b10[b].vpd_res = new vpd_info[OBJ_MAX_COUNT];
// }
// t1 = msecond();
// ret = vpd_process10(handle, imgs, batchsize, results_b10);
// t2 = msecond();
// printf("debug mean batch process time: %.2f\n", (t2 - t1)/batchsize);
//debug end======================================================
//draw results
for(int b = 0; b < batchsize; b ++){
//vpd
printf("debug vpd det num:%d\n",results[b].count);
for (int i = 0; i < results[b].count; i++) {
if(results[b].vpd_res[i].confidence < 0.0) continue;
int index = results[b].vpd_res[i].index;
Point lt(results[b].vpd_res[i].rect.left_, results[b].vpd_res[i].rect.top_);
Point rb((results[b].vpd_res[i].rect.left_ + results[b].vpd_res[i].rect.width_),
(results[b].vpd_res[i].rect.top_ + results[b].vpd_res[i].rect.height_));
rectangle(cvImg, lt, rb, cv::Scalar(index, index, 255), 2);
int fontface = cv::FONT_HERSHEY_SIMPLEX;
double scale = 0.5;
int thickness = 1;
int baseline = 0;
char buffer[50];
snprintf(buffer, sizeof(buffer), "%d:%.2f", index, results[b].vpd_res[i].confidence);
cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness, &baseline);
cv::putText(cvImg, buffer, lt - cv::Point(0, baseline), fontface, scale, cv::Scalar(255, 255, 255), thickness, 4);
}
string jpgSaveName = saveimagepath + file;
cv::imwrite(jpgSaveName, cvImg);
}
// for(int b = 0; b < batchsize; b ++){
// //vpd
// printf("debug vpd_b10 det num:%d\n",results_b10[b].count);
// // for (int i = 0; i < results_b10[b].count; i++) {
// // if(results_b10[b].vpd_res[i].confidence < 0.0) continue;
// // int index = results_b10[b].vpd_res[i].index;
// // Point lt(results_b10[b].vpd_res[i].rect.left_, results_b10[b].vpd_res[i].rect.top_);
// // Point rb((results_b10[b].vpd_res[i].rect.left_ + results_b10[b].vpd_res[i].rect.width_),
// // (results_b10[b].vpd_res[i].rect.top_ + results_b10[b].vpd_res[i].rect.height_));
// // rectangle(cvImg, lt, rb, cv::Scalar(index, index, 255), 2);
// // int fontface = cv::FONT_HERSHEY_SIMPLEX;
// // double scale = 0.5;
// // int thickness = 1;
// // int baseline = 0;
// // char buffer[50];
// // snprintf(buffer, sizeof(buffer), "%d:%.2f", index, results_b10[b].vpd_res[i].confidence);
// // cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness, &baseline);
// // cv::putText(cvImg, buffer, lt - cv::Point(0, baseline), fontface, scale, cv::Scalar(255, 255, 255), thickness, 4);
// // }
// // string jpgSaveName = "result/" + file;
// // cv::imwrite(jpgSaveName, cvImg);
// }
for (int i = 0; i < batchsize; i++) {
delete [] results[i].vpd_res;
// delete [] results_b10[i].vpd_res;
}
delete [] results;
// delete [] results_b10;
} }
}
vpd_release(&handle);
aclrtDestroyStream(stream);
aclrtDestroyContext(ctx);
aclrtResetDevice(param.devId);
aclFinalize();
return 0;
}