test_vpt.cpp0
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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 "acl/acl.h"
#include "acl/ops/acl_dvpp.h"
#include "muxer.h"
#include <chrono>
#include <dirent.h>
using namespace std;
using namespace cv;
sy_img data_cv2dvpp(Mat image) {
int data_size = image.cols * image.rows * 3;
sy_img device_data;
unsigned char * pHwRgb{nullptr};
int ret = acldvppMalloc((void **)&pHwRgb, data_size);
if(ret != ACL_ERROR_NONE){
cout << "acldvppMalloc failed" << endl;
return device_data;
}
ret = aclrtMemcpy(pHwRgb, data_size, image.data, data_size, ACL_MEMCPY_HOST_TO_DEVICE);
if(ret != ACL_ERROR_NONE){
acldvppFree(pHwRgb);
cout << "aclrtMemcpy failed" << endl;
return device_data;
}
// device_data.c_ = image.dims;
device_data.c_ = 3;
device_data.w_ = image.cols;
device_data.h_ = image.rows;
device_data.data_ = pHwRgb;
return device_data;
}
int main() {
vpt_param param;
param.modelNames_b = "./models/vpt/vpt230323_b16_bgr_310p.om";
param.threshold = 0.35;
param.devId = 0;
param.max_batch = 16;
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);
int ret = vpt_init(&handle, param);
if (ret == 0) {
cout << "init success " << endl;
cv::VideoCapture capture;
capture.open("/home/cmhu/data/task33.avi");
if(!capture.isOpened())
{
std::cerr << "Couldn't open capture."<< std::endl;
return-1;
}
double fps = capture.get( cv::CAP_PROP_FPS );
int b = 0;
int batchsize = 8;
vector<sy_img> vec_img;
vector<cv::Mat> vec_mat;
cv::Mat bgrImg;
capture >> bgrImg;
muxer encoder;
encoder.init(bgrImg.cols, bgrImg.rows, fps, 4992000, "./vpt.mp4");
for(;;){
if(b < batchsize) {
capture >> bgrImg;
if(bgrImg.empty()) break;
vec_mat.push_back(bgrImg);
sy_img img = data_cv2dvpp(bgrImg);
vec_img.push_back(img);
b ++;
}
if(b == batchsize) {
b = 0;
vpt_result results_b[batchsize];
for (int b = 0; b < batchsize; b++) {
results_b[b].obj_results_ = new vpt_obj_result[MAX_DET_COUNT];
}
ret = vpt_batchV2(handle, vec_img.data(), batchsize, results_b);
//draw
for(int batchIdx = 0; batchIdx < batchsize; batchIdx ++) {
printf("debug det_b num:%d\n",results_b[batchIdx].obj_count_);
Mat cvImg = vec_mat[batchIdx];
for (int i = 0; i < results_b[batchIdx].obj_count_; i++) {
Point lt(results_b[batchIdx].obj_results_[i].obj_rect.left_, results_b[batchIdx].obj_results_[i].obj_rect.top_);
Point rb((results_b[batchIdx].obj_results_[i].obj_rect.left_ +
results_b[batchIdx].obj_results_[i].obj_rect.width_), (results_b[batchIdx].obj_results_[i].obj_rect.top_ +
results_b[batchIdx].obj_results_[i].obj_rect.height_));
rectangle(cvImg, lt, rb, cv::Scalar(0, 0, 255), 4);
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_b[batchIdx].obj_results_[i].obj_index,results_b[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);
}
encoder.write_image(cvImg.data);
}
for (int i = 0; i < batchsize; i++) {
delete [] results_b[i].obj_results_;
acldvppFree(vec_img[i].data_);
}
vec_img.clear();
}
}
encoder.close();
}
}
int main0() {
cout << vpt_get_version() << endl;
vpt_param param;
param.modelNames_b = "./models/vpt/vpt230323_b16_bgr_310p.om";
param.threshold = 0.35;
param.devId = 0;
param.max_batch = 16;
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;
const int batchsize = 2;
sy_img imgs[batchsize];
vector<sy_img> vec_img;
int b = 0, repeat_num = 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) {
Mat cvImg = imread(filename.c_str());
uint32_t alignWidth = (cvImg.cols + 15) / 16 * 16 * 3;
uint32_t alignHeight = (cvImg.rows + 1) / 2 * 2;
uint32_t size = alignWidth * alignHeight;
// cout << cvImg.cols << " " << cvImg.rows << " " << alignWidth << " " << alignHeight << " " << size << endl;
resize(cvImg, cvImg, cv::Size((cvImg.cols + 15) / 16 * 16, alignHeight));
sy_img img = data_cv2dvpp(cvImg);
vec_img.push_back(img);
b ++;
}
if(b == batchsize) {
b = 0;
// vpt_result results_b[batchsize];
vpt_result * results_b = new vpt_result[batchsize];
for (int b = 0; b < batchsize; b++) {
results_b[b].obj_results_ = new vpt_obj_result[MAX_DET_COUNT];
}
double t1,t2;
t1 = msecond();
ret = vpt_batchV2(handle, vec_img.data(), batchsize, results_b);
t2 = msecond();
printf("debug mean batch process time: %.2f\n", (t2 - t1)/batchsize);
//debug end======================================================
//draw
for(int batchIdx = 0; batchIdx < batchsize; batchIdx ++) {
printf("debug det_b num:%d\n",results_b[batchIdx].obj_count_);
string filename = img_file_path + fileList[batchIdx + batchsize*repeat_num];
Mat cvImg = imread(filename.c_str());
for (int i = 0; i < results_b[batchIdx].obj_count_; i++) {
Point lt(results_b[batchIdx].obj_results_[i].obj_rect.left_, results_b[batchIdx].obj_results_[i].obj_rect.top_);
Point rb((results_b[batchIdx].obj_results_[i].obj_rect.left_ +
results_b[batchIdx].obj_results_[i].obj_rect.width_), (results_b[batchIdx].obj_results_[i].obj_rect.top_ +
results_b[batchIdx].obj_results_[i].obj_rect.height_));
rectangle(cvImg, lt, rb, cv::Scalar(0, 0, 255), 4);
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_b[batchIdx].obj_results_[i].obj_index,results_b[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/" + fileList[batchIdx + batchsize*repeat_num];
cv::imwrite(jpgSaveName, cvImg);
}
for (int i = 0; i < batchsize; i++) {
delete [] results_b[i].obj_results_;
acldvppFree(vec_img[i].data_);
}
vec_img.clear();
delete [] results_b;
repeat_num += 1;
}
}
}
vpt_release(&handle);
aclrtDestroyContext(ctx);
aclrtResetDevice(param.devId);
aclFinalize();
return 0;
}