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Source.cpp
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Source.cpp
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#include <cstdio>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video.hpp>
#include <iostream>
#include <fstream>
#include <sstream>
#include <string>
#include <time.h>
#include <stdio.h>
#include "direct.h"
//using namespace std;
cv::Mat frame, frame1, gray, bin, inputTarget, res, res1, inputTarget_bin, inputTarget_bininv;
cv::Mat roi_start, roi_end, roi_diff;
cv::Mat roi_diffbin;
//cv::VideoCapture capture, capture1;
double minVal, maxVal;
cv::Point Loc;
bool ones;
#include <iostream>
#include <iomanip>
#include "Poco/Net/StreamSocket.h"
#include "Poco/Net/SocketAddress.h"
#include <string>
#include <vector>
#include <fstream>
#include <thread>
#include <atomic>
#include <mutex> // std::mutex, std::unique_lock
#include <condition_variable> // std::condition_variable
#include <sys/types.h>
#include <time.h>
#include <WinBase.h>
#include <windows.h>
#include <iostream>
#include "dirent.h"
#include <atlstr.h>
#include "Poco\Data\ODBC\Connector.h"
#include "Poco\Data\Session.h"
#include "Poco\Util\AbstractConfiguration.h"
#include "Poco\Util\IniFileConfiguration.h"
#define OPENCV
#include "yolo_v2_class.hpp" // imported functions from DLL
#include<filesystem>
using Poco::Net::SocketAddress;
using Poco::Net::StreamSocket;
using Poco::AutoPtr;
using Poco::Util::IniFileConfiguration;
using namespace Poco::Data::Keywords;
using Poco::Data::Session;
using Poco::Data::Statement;
std::string inputFilename;
std::string saveFilename;
std::string testsaveImage;
std::string image_Name;
std::string imagePath;
std::string picfilename_single = "";
std::string picfilename_double1 = "";
std::string picfilename_double2 = "";
std::string imagePath_single;
std::string imagePath_double1;
std::string imagePath_double2;
std::string Xray_result, deepColorResult;
//config.ini
///////////////////////
//part of XrayAicheck//
///////////////////////
std::string dbString;
double thresholdProb = 0.0;
double thresholdProb2 = 0.0;
double thresholdProbClass[14] = {0.0, 0.0, 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 , 0.0 };
int largest_area_thr;
int debugMode;
std::string test_Path;
////////////////////////
//part of FrameCapture//
////////////////////////
std::string capture0_state;
std::string capture1_state;
std::string LtoR;
std::string folder_path = "";
int duration = 60;
int xraytype = 0;
int bottom_limit;
int thr_line;
int showpic;
int video_col;
int video_row;
double maxVal_thr; //cv::Match Template_threshold
int min_dist;//object min col
double capture_min_time;
int frame_height, frame_width; //frame長寬
int frame_coordinate_x, frame_coordinate_y; //frame起始座標
int inputTarget_width; //設定inputTarget之寬度
int acc_thr; //擷取累積值閥值
int error_template_times;//matchtemplate錯誤次數，超過即尋找
int testPicture; //更改辨識模式，偵測單張結果
std::string testPicture_path; //測試圖片之路徑
std::string testPicture_savepath; //測試圖片結果存檔路徑
//config.ini
cv::Mat copyFrame;
std::string Xray_result0 = Xray_result0 + "{" + '"' + "rect" + '"' + ":[]}";
int deepColorX, deepColorY, deepColorW, deepColorH;
AutoPtr<IniFileConfiguration> pConf(new IniFileConfiguration("config.ini"));
std::string cfg = pConf->getString("YOLO.cfg");
std::string weights = pConf->getString("YOLO.weights");
std::string names = pConf->getString("YOLO.names");
std::string cfg2 = pConf->getString("YOLO.cfg2");
std::string weights2 = pConf->getString("YOLO.weights2");
std::string names2 = pConf->getString("YOLO.names2");
Detector detector(cfg, weights);
Detector detector2(cfg2, weights2);
Session* session;
int matchtemplate_error_times;//matchtemplate錯誤次數，超過即尋找
void deepColorDetect(cv::Mat mat_img) {
deepColorX = 0;
deepColorY = 0;
deepColorW = 0;
deepColorH = 0;
cv::Mat ori, threshold_img, dst, gray;
ori = mat_img;
//clock_t a, b;
int morph_size = 6;
int morph_elem = 0;
int operation = 2;
int bin_thr = 60;
cv::Mat element = cv::getStructuringElement(morph_elem, cv::Size(2 * morph_size + 1, 2 * morph_size + 1), cv::Point(morph_size, morph_size));
std::cout << "**************** getStructuringElement after" << std::endl;
std::vector<float>contour_area;
std::vector<std::vector<cv::Point> > contours, largest_contours;
//a = clock();
std::cout << "ori.empty: " << ori.empty() << std::endl;
cv::cvtColor(ori, gray, cv::COLOR_BGR2GRAY);
std::cout << "**************** cv::cvtColor after" << std::endl;
threshold(gray, threshold_img, bin_thr, 255, cv::THRESH_BINARY_INV);
std::cout << "**************** threshold after" << std::endl;
morphologyEx(threshold_img, dst, operation, element);
std::cout << "**************** morphologyEx after" << std::endl;
findContours(dst, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
std::cout << "**************** findContours after" << std::endl;
double largest_area = 0;
double area;
//找最大的輪廓
for (int i = 0; i < contours.size(); i++) { // get the largest contour
area = (contourArea(contours[i]));
if (area >= largest_area) {
largest_area = area;
largest_contours.clear();
largest_contours.push_back(contours[i]);
}
}
if (debugMode)
//drawContours(ori, largest_contours, -1, cv::Scalar(0, 0, 255), 2);
std::cout << "**************** contourArea after" << std::endl;
if (largest_contours.size() > 0)
{
std::vector<cv::Rect>boundRect(largest_contours.size());
boundRect[0] = boundingRect(largest_contours[0]);
//rectangle(ori, boundRect[0], cv::Scalar(0, 0, 255), 2);
std::cout << "**************** rectangle after" << std::endl;
cv::Point tl, br;
tl = boundRect[0].tl();
br = boundRect[0].br();
contour_area.push_back(largest_area);
if (largest_area > largest_area_thr)
{
std::cout << "有大面積深色" << std::endl;
deepColorX = tl.x;
deepColorY = tl.y;
deepColorW = br.x - tl.x;
deepColorH = br.y - tl.y;
deepColorResult = deepColorResult + "{" + '"' + "rect" + '"' + ":[" + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(13) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(deepColorW) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(deepColorH) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(deepColorY) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(deepColorX) +
'"' + "}]}";
//將Equalization 結果覆蓋原圖
cv::Mat dst;
dst = mat_img(cv::Rect(deepColorX, deepColorY, deepColorW, deepColorH));
cv::cvtColor(dst, dst, cv::COLOR_BGR2GRAY);
cv::equalizeHist(dst, dst);
cv::cvtColor(dst, dst, cv::COLOR_GRAY2BGR);
cv::Rect roi_rect= cv::Rect(deepColorX, deepColorY, deepColorW, deepColorH);
dst.copyTo(mat_img(roi_rect));
cv::imwrite(imagePath, mat_img);
if (debugMode) std::cout << "deepColorResult:" << deepColorResult << std::endl;
}
else
{
std::cout << "無大面積深色" << std::endl;
}
}
else std::cout << "無大面積深色" << std::endl;
if (debugMode)
{
//imshow("ori", ori);
//cv::waitKey(1);
}
}
//將偵測出ROI依x軸位置排序
std::vector<bbox_t> vectorSort(std::vector<bbox_t> sortVector)
{
int N = sortVector.size();
for (int i = 0; i < N; i++)
for (int j = i + 1; j < N; j++)
{
if (sortVector[i].x > sortVector[j].x)
std::swap(sortVector[i], sortVector[j]);//SWAP
}
return sortVector;
}
void draw_boxes(cv::Mat mat_img, std::vector<bbox_t> result_vec, std::vector<bbox_t> result_vec2, std::vector<std::string> obj_names, std::vector<std::string> obj_names2)
{
if (debugMode)
{
for (/*auto& i : result_vec*/int j = 0; j < result_vec.size(); j++) {
bbox_t i = result_vec[j];
cv::Scalar color = obj_id_to_color(i.obj_id);
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if ((obj_names.size() > i.obj_id)) {
std::string obj_name = obj_names[i.obj_id];
std::string prob = std::to_string(i.prob).substr(0, std::to_string(i.prob).length() - 3);
if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
int max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
max_width = std::max(max_width, (int)i.w + 2);
//max_width = std::max(max_width, 283);
std::string coords_3d;
if (!std::isnan(i.z_3d)) {
std::stringstream ss;
ss << std::fixed << std::setprecision(2) << "x:" << i.x_3d << "m y:" << i.y_3d << "m z:" << i.z_3d << "m ";
coords_3d = ss.str();
cv::Size const text_size_3d = getTextSize(ss.str(), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, 1, 0);
int const max_width_3d = (text_size_3d.width > i.w + 2) ? text_size_3d.width : (i.w + 2);
if (max_width_3d > max_width) max_width = max_width_3d;
}
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 35, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)),
color, CV_FILLED, 8, 0);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 16), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
putText(mat_img, prob, cv::Point2f(i.x, i.y + 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
if (!coords_3d.empty()) putText(mat_img, coords_3d, cv::Point2f(i.x, i.y - 1), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
//testsaveImage = test_Path + image_Name;
//cv::imwrite(testsaveImage, mat_img);
std::cout << "i.prob : " << i.prob << std::endl;
//imshow("img", mat_img);
//cv::waitKey(1);
}
}
for (/*auto& i : result_vec2*/int j = 0; j < result_vec2.size(); j++) {
bbox_t i = result_vec2[j];
cv::Scalar color = obj_id_to_color(i.obj_id);
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if ((obj_names2.size() > i.obj_id)) {
std::string obj_name = obj_names2[i.obj_id];
std::string prob = std::to_string(i.prob).substr(0, std::to_string(i.prob).length() - 3);
if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
int max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
max_width = std::max(max_width, (int)i.w + 2);
//max_width = std::max(max_width, 283);
std::string coords_3d;
if (!std::isnan(i.z_3d)) {
std::stringstream ss;
ss << std::fixed << std::setprecision(2) << "x:" << i.x_3d << "m y:" << i.y_3d << "m z:" << i.z_3d << "m ";
coords_3d = ss.str();
cv::Size const text_size_3d = getTextSize(ss.str(), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, 1, 0);
int const max_width_3d = (text_size_3d.width > i.w + 2) ? text_size_3d.width : (i.w + 2);
if (max_width_3d > max_width) max_width = max_width_3d;
}
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 35, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)),
color, CV_FILLED, 8, 0);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 16), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
putText(mat_img, prob, cv::Point2f(i.x, i.y + 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
if (!coords_3d.empty()) putText(mat_img, coords_3d, cv::Point2f(i.x, i.y - 1), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
//cv::imwrite(testsaveImage, mat_img);
std::cout << "i.prob : " << i.prob << std::endl;
//imshow("img", mat_img);
//cv::waitKey(1);
}
}
time_t rawtime;
struct tm* timeinfo;
char char_fileDate[50], folderDate[50];
std::string filename;
time(&rawtime);
timeinfo = localtime(&rawtime);
strftime(char_fileDate, 50, "%Y%m%d%H%M-%S", timeinfo);
strftime(folderDate, 10, "%Y%m%d", timeinfo);
std::string str_fileDate(char_fileDate);
std::stringstream ss;
//儲存辨識影像
std::string imagePath(folderDate);
imagePath = test_Path + imagePath;
//imagePath = "D:\\output\\" + imagePath;
char carImagePath_char[30];
strcpy(carImagePath_char, imagePath.c_str());
struct stat buf; //檢查是否有當日的資料夾，沒有則新增
if (stat(carImagePath_char, &buf) != 0)
{
mkdir(carImagePath_char);
}
picfilename_single = str_fileDate + ".jpg";
ss << imagePath << "\\" << picfilename_single;
imagePath = ss.str();
ss.str("");
cv::imwrite(imagePath, mat_img);
//testsaveImage = test_Path + image_Name;
//cv::imwrite(testsaveImage, mat_img);
}
int checknum = 0;
for (/*auto& i : result_vec*/int j = 0; j < result_vec.size(); j++)
{
bbox_t i = result_vec[j];
if ((i.prob >= thresholdProbClass[i.obj_id]) /* || (i.obj_id == 1 && i.prob >= 0.75) || (i.obj_id == 4 && i.prob >= 0.75)*/)
{
checknum++;
if (checknum == 1)
{
Xray_result = Xray_result + "{" + '"' + "rect" + '"' + ":[" + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(i.obj_id) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
else if (checknum >= 2)
{
Xray_result = Xray_result + "," + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(i.obj_id) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
}
}
for (/*auto& i : result_vec2*/int j = 0; j < result_vec2.size(); j++)
{
bbox_t i = result_vec2[j];
if (i.prob >= thresholdProb2)
{
checknum++;
//Sausage id:4
if (checknum == 1)
{
Xray_result = Xray_result + "{" + '"' + "rect" + '"' + ":[" + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(7) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
else if (checknum >= 2)
{
Xray_result = Xray_result + "," + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(7) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
}
}
if (debugMode)
std::cout << "Detect num: " << checknum << std::endl;
if (checknum > 0)
Xray_result = Xray_result + "]}";
else
Xray_result = Xray_result0;
checknum = 0;
std::cout << Xray_result << std::endl;
}
std::vector<std::string> objects_names_from_file(std::string const filename) {
std::ifstream file(filename);
std::vector<std::string> file_lines;
if (!file.is_open()) return file_lines;
for (std::string line; getline(file, line);) file_lines.push_back(line);
//std::cout << "object names loaded \n";
return file_lines;
}
int getAccument_new(int origin_col, int mode) //根據mode 0 or 1 分別從origin_col，向後或向前查找最低像素累積值並return。
{
int s[1920]; //初始陣列 ，有變數無法帶入的問題。
int len = sizeof(s) / sizeof(s[0]); //找陣列長度
int temp;
int smallest_num = 9999;
int index_col;
if (mode == 0) {
for (int i = 0; i < len; i++) //初始陣列
s[i] = 9999;
for (int i = origin_col; i < 1920; i++) {
cv::Mat A;
A = bin.col(i);
s[i] = sum(A)[0] / 255;
temp = sum(A)[0] / 255;
if (temp < smallest_num) {
smallest_num = temp;
index_col = i;
}
}
}
else {
for (int i = 0; i < len; i++) //初始陣列
s[i] = 9999;
for (int i = origin_col; i > 0; i--) {
cv::Mat A;
A = bin.col(i);
s[i] = sum(A)[0] / 255;
temp = sum(A)[0] / 255;
if (temp < smallest_num) {
smallest_num = temp;
index_col = i;
}
}
}
// print 最小之累積量
//std::cout << smallest_num << endl;
return index_col;
}
void takePicture_double(cv::Mat cameraImage, cv::Mat cameraImage1, std::string folderpath)
{
time_t rawtime;
struct tm* timeinfo;
char char_fileDate[50], folderDate[50];
std::string filename;
time(&rawtime);
timeinfo = localtime(&rawtime);
strftime(char_fileDate, 50, "%Y%m%d%H%M-%S", timeinfo);
strftime(folderDate, 10, "%Y%m%d", timeinfo);
std::string str_fileDate(char_fileDate);
std::stringstream ss;
std::stringstream ss1;
//儲存辨識影像
std::string imagePath(folderDate);
std::string imagePath1;
imagePath = folderpath + imagePath;
imagePath1 = imagePath;
char carImagePath_char[30];
strcpy(carImagePath_char, imagePath.c_str());
struct stat buf; //檢查是否有當日的資料夾，沒有則新增
if (stat(carImagePath_char, &buf) != 0)
{
mkdir(carImagePath_char);
}
picfilename_double1 = str_fileDate + "_A.jpg";
picfilename_double2 = str_fileDate + "_B.jpg";
ss << imagePath << "\\" << picfilename_double1;
ss1 << imagePath << "\\" << picfilename_double2;
imagePath = ss.str();
imagePath1 = ss1.str();
imwrite(imagePath, cameraImage);
imwrite(imagePath1, cameraImage1);
imagePath_double1 = imagePath;
imagePath_double2 = imagePath1;
}
void takePicture_single(cv::Mat cameraImage, std::string folderpath)
{
time_t rawtime;
struct tm* timeinfo;
char char_fileDate[50], folderDate[50];
std::string filename;
time(&rawtime);
timeinfo = localtime(&rawtime);
strftime(char_fileDate, 50, "%Y%m%d%H%M-%S", timeinfo);
strftime(folderDate, 10, "%Y%m%d", timeinfo);
std::string str_fileDate(char_fileDate);
std::stringstream ss;
//儲存辨識影像
std::string imagePath(folderDate);
imagePath = folderpath + imagePath;
//imagePath = "D:\\output\\" + imagePath;
char carImagePath_char[30];
strcpy(carImagePath_char, imagePath.c_str());
struct stat buf; //檢查是否有當日的資料夾，沒有則新增
if (stat(carImagePath_char, &buf) != 0)
{
mkdir(carImagePath_char);
}
picfilename_single = str_fileDate + ".jpg";
ss << imagePath << "\\" << picfilename_single;
imagePath = ss.str();
ss.str("");
imwrite(imagePath, cameraImage);
imagePath_single = imagePath;
}
void XrayAicheck_process(cv::Mat frame) {
std::vector<std::string> obj_names = objects_names_from_file(names);
std::vector<std::string> obj_names2 = objects_names_from_file(names2);
std::string method2_Check = "0";
std::cout << std::endl << std::endl << saveFilename << std::endl;
cv::waitKey(1);
while (saveFilename.find("/") != std::string::npos)
{
saveFilename = saveFilename.replace(saveFilename.find("/"), 1, "\\");
}
try {
*session << "INSERT INTO imgInfoView (imgName,imgPath,xrayType) VALUES(?,?,?)",
Poco::Data::Keywords::use(image_Name),
Poco::Data::Keywords::use(imagePath),
Poco::Data::Keywords::use(xraytype),
Poco::Data::Keywords::now;
}
catch (std::exception& e)
{
std::cerr << "insert imgInfo exception: " << e.what() << "\n";
}
//inputIMG
//frame = cv::imread(saveFilename);
frame.copyTo(copyFrame);
deepColorDetect(copyFrame);
std::cout << "=== deepColorDetect after" << std::endl;
std::vector<bbox_t> result_CN;
std::vector<bbox_t> result_CN2;
result_CN = detector.detect(frame);
result_CN2 = detector2.detect(frame);
std::cout << "=== detector after" << std::endl;
result_CN = vectorSort(result_CN);
result_CN2 = vectorSort(result_CN2);
if (result_CN.size() != 0)
{
int count = 0;
draw_boxes(frame, result_CN, result_CN2, obj_names, obj_names2);
}
else
{
Xray_result = Xray_result0;
}
if (Xray_result == Xray_result0)
{
method2_Check = "0";
}
else
{
method2_Check = "1";
}
std::cout << "=== draw_boxes after" << std::endl;
try
{
*session << "INSERT INTO algorithmResultView (imgName,mType,mResult,mStatus) VALUES(?,1,?,2)",
Poco::Data::Keywords::use(image_Name),
Poco::Data::Keywords::use(Xray_result),
Poco::Data::Keywords::now;
}
catch (std::exception& e)
{
std::cerr << "insert algorithmResult exception: " << e.what() << "\n";
}
if (deepColorW != 0)
{
try {
*session << "INSERT INTO algorithmResultView (imgName,mType,mResult,mStatus) VALUES(?,3,?,2)",
Poco::Data::Keywords::use(image_Name),
Poco::Data::Keywords::use(deepColorResult),
Poco::Data::Keywords::now;
}
catch (std::exception& e)
{
std::cerr << "insert deep color exception: " << e.what() << "\n";
}
}
inputFilename.clear();
Xray_result.clear();
deepColorResult.clear();
}
void draw_boxes_testPicture(cv::Mat mat_img, std::vector<bbox_t> result_vec, std::vector<bbox_t> result_vec2, std::vector<std::string> obj_names, std::vector<std::string> obj_names2)
{
for (int j = 0; j < result_vec.size(); j++) {
bbox_t i = result_vec[j];
cv::Scalar color = obj_id_to_color(i.obj_id);
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if ((obj_names.size() > i.obj_id)) {
std::string obj_name = obj_names[i.obj_id];
std::string prob = std::to_string(i.prob).substr(0, std::to_string(i.prob).length() - 3);
if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
int max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
max_width = std::max(max_width, (int)i.w + 2);
std::string coords_3d;
if (!std::isnan(i.z_3d)) {
std::stringstream ss;
ss << std::fixed << std::setprecision(2) << "x:" << i.x_3d << "m y:" << i.y_3d << "m z:" << i.z_3d << "m ";
coords_3d = ss.str();
cv::Size const text_size_3d = getTextSize(ss.str(), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, 1, 0);
int const max_width_3d = (text_size_3d.width > i.w + 2) ? text_size_3d.width : (i.w + 2);
if (max_width_3d > max_width) max_width = max_width_3d;
}
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 35, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)),
color, CV_FILLED, 8, 0);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 16), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
putText(mat_img, prob, cv::Point2f(i.x, i.y + 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
if (!coords_3d.empty()) putText(mat_img, coords_3d, cv::Point2f(i.x, i.y - 1), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
std::cout << "i.prob : " << i.prob << std::endl;
}
}
for (int j = 0; j < result_vec2.size(); j++) {
bbox_t i = result_vec2[j];
cv::Scalar color = obj_id_to_color(i.obj_id);
cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if ((obj_names2.size() > i.obj_id)) {
std::string obj_name = obj_names2[i.obj_id];
std::string prob = std::to_string(i.prob).substr(0, std::to_string(i.prob).length() - 3);
if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
int max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
max_width = std::max(max_width, (int)i.w + 2);
std::string coords_3d;
if (!std::isnan(i.z_3d)) {
std::stringstream ss;
ss << std::fixed << std::setprecision(2) << "x:" << i.x_3d << "m y:" << i.y_3d << "m z:" << i.z_3d << "m ";
coords_3d = ss.str();
cv::Size const text_size_3d = getTextSize(ss.str(), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, 1, 0);
int const max_width_3d = (text_size_3d.width > i.w + 2) ? text_size_3d.width : (i.w + 2);
if (max_width_3d > max_width) max_width = max_width_3d;
}
cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 35, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols - 1), std::min((int)i.y, mat_img.rows - 1)),
color, CV_FILLED, 8, 0);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 16), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
putText(mat_img, prob, cv::Point2f(i.x, i.y + 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
if (!coords_3d.empty()) putText(mat_img, coords_3d, cv::Point2f(i.x, i.y - 1), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
std::cout << "i.prob : " << i.prob << std::endl;
}
}
int checknum = 0;
for (int j = 0; j < result_vec.size(); j++)
{
bbox_t i = result_vec[j];
if ((i.prob >= thresholdProbClass[i.obj_id]))
{
checknum++;
if (checknum == 1)
{
Xray_result = Xray_result + "{" + '"' + "rect" + '"' + ":[" + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(i.obj_id) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
else if (checknum >= 2)
{
Xray_result = Xray_result + "," + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(i.obj_id) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
}
}
for (int j = 0; j < result_vec2.size(); j++)
{
bbox_t i = result_vec2[j];
if (i.prob >= thresholdProb2)
{
checknum++;
//Sausage id:4
if (checknum == 1)
{
Xray_result = Xray_result + "{" + '"' + "rect" + '"' + ":[" + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(7) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
else if (checknum >= 2)
{
Xray_result = Xray_result + "," + "{" + '"' + "type" + '"' + ":" + '"' + std::to_string(7) +
'"' + "," + '"' + "width" + '"' + ":" + '"' + std::to_string(i.w) +
'"' + "," + '"' + "height" + '"' + ":" + '"' + std::to_string(i.h) +
'"' + "," + '"' + "top" + '"' + ":" + '"' + std::to_string(i.y) +
'"' + "," + '"' + "left" + '"' + ":" + '"' + std::to_string(i.x) +
'"' + "}";
}
}
}
if (debugMode)
std::cout << "Detect num: " << checknum << std::endl;
if (checknum > 0)
Xray_result = Xray_result + "]}";
else
Xray_result = Xray_result0;
checknum = 0;
std::cout << Xray_result << std::endl;
}
void XrayAicheck_process_testPicture(cv::Mat frame) {
std::vector<std::string> obj_names = objects_names_from_file(names);
std::vector<std::string> obj_names2 = objects_names_from_file(names2);
std::string method2_Check = "0";
frame.copyTo(copyFrame);
deepColorDetect(copyFrame);
std::cout << "=== deepColorDetect after" << std::endl;
std::vector<bbox_t> result_CN;
std::vector<bbox_t> result_CN2;
result_CN = detector.detect(frame);
result_CN2 = detector2.detect(frame);
std::cout << "=== detector after" << std::endl;
result_CN = vectorSort(result_CN);
result_CN2 = vectorSort(result_CN2);
if (result_CN.size() != 0)
{
int count = 0;
draw_boxes_testPicture(frame, result_CN, result_CN2, obj_names, obj_names2);
}
}
void loadConfig_test(AutoPtr<IniFileConfiguration> pConf) {
//try {
// dbString = pConf->getString("Main.dbString");
// thresholdProb = pConf->getDouble("Main.thresholdProb");
// for (int i = 0; i < 14; i++)
// {
// thresholdProbClass[i] = pConf->getDouble("Main.thresholdProbClass" + std::to_string(i + 1));
// }
// thresholdProb2 = pConf->getDouble("Main.thresholdProb2");
// largest_area_thr = pConf->getDouble("Main.largest_area_thr");
// cfg = pConf->getString("YOLO.cfg");
// weights = pConf->getString("YOLO.weights");
// names = pConf->getString("YOLO.names");
// cfg2 = pConf->getString("YOLO.cfg2");
// weights2 = pConf->getString("YOLO.weights2");
// names2 = pConf->getString("YOLO.names2");
// debugMode = pConf->getDouble("Test.debugMode");
// test_Path = pConf->getString("Test.test_Path");
// if (!std::filesystem::exists(test_Path.c_str()))
// std::filesystem::create_directory(test_Path); //若無存在則創立目錄
// testPicture = pConf->getInt("Test.testPicture");
// testPicture_path = pConf->getString("Test.testPicture_path");
// testPicture_savepath = pConf->getString("Test.testPicture_savepath");
// if (!std::filesystem::exists(testPicture_savepath.c_str()))
// std::filesystem::create_directory(testPicture_savepath);//若無存在則創立目錄
// capture0_state = pConf->getString("FrameCapture.capture0_state");
// capture1_state = pConf->getString("FrameCapture.capture1_state");
// LtoR = pConf->getString("FrameCapture.LtoR");
// folder_path = pConf->getString("FrameCapture.folder_path");
// duration = pConf->getInt("FrameCapture.duration");
// xraytype = pConf->getInt("FrameCapture.xraytype");
// bottom_limit = pConf->getInt("FrameCapture.bottom_limit");
// thr_line = pConf->getInt("FrameCapture.thr_line");
// showpic = pConf->getInt("FrameCapture.showpic");
// video_col = pConf->getInt("FrameCapture.video_col");
// video_row = pConf->getInt("FrameCapture.video_row");
// maxVal_thr = pConf->getDouble("FrameCapture.maxVal_thr");
// min_dist = pConf->getInt("FrameCapture.min_dist");
// capture_min_time = pConf->getDouble("FrameCapture.capture_min_time");
// frame_height = pConf->getInt("FrameCapture.frame_height");
// frame_width = pConf->getInt("FrameCapture.frame_width");
// frame_coordinate_x = pConf->getInt("FrameCapture.frame_coordinate_x");
// frame_coordinate_y = pConf->getInt("FrameCapture.frame_coordinate_y");
// inputTarget_width = pConf->getInt("FrameCapture.inputTarget_width");
// acc_thr = pConf->getInt("FrameCapture.acc_thr");
// error_template_times = pConf->getInt("FrameCapture.error_template_times");
//
//}
//catch (std::exception& e)
//{
// std::cerr << "Read config.ini fail" << "\n";
//}
//if (debugMode)
//{
// std::cout << "Main.dbString:\t\t" << dbString << std::endl;
// std::cout << "Main.thresholdProb:\t" << thresholdProb << std::endl;
// for (int i = 0; i < 14; i++)
// {
// std::cout << "Main.thresholdProbClass" << (i + 1) << ":\t" << thresholdProbClass[i] << std::endl;
// }
// std::cout << "Main.thresholdProb2:\t" << thresholdProb2 << std::endl;
// std::cout << "YOLO.cfg:\t\t" << cfg << std::endl;
// std::cout << "YOLO.weights:\t\t" << weights << std::endl;
// std::cout << "YOLO.names:\t\t" << names << std::endl;
// std::cout << "Test.debugMode:\t\t" << debugMode << std::endl;
// std::cout << "Test.test_Path:\t\t" << test_Path << std::endl;
// std::cout << "Test.testPicture\t\t" << testPicture << std::endl;
// std::cout << "Test.testPicture_path\t\t" << testPicture_path << std::endl;
// std::cout << "Test.testPicture_savepath\t\t" << testPicture_savepath << std::endl;
// std::cout << "capture0_state:" << capture0_state << std::endl;
// std::cout << "capture1_state:" << capture1_state << std::endl;
// std::cout << "LtoR:" << LtoR << std::endl; // 0運輸帶右向左 or 1運輸帶左向右
// std::cout << "folder_path:" << folder_path << std::endl; // 儲存資料夾
// std::cout << "duration:" << duration << std::endl; // 運作幀數
// std::cout << "xraytype:" << xraytype << std::endl; // 0單光源 or 1雙光源
// std::cout << "bottom_limit:" << bottom_limit << std::endl; // 分割畫面(?列以下皆忽略)
// std::cout << "thr_line:" << thr_line << std::endl; // 中央基準線
// std::cout << "showpic:" << showpic << std::endl; // Debug模式
// std::cout << "video_col:" << video_col << std::endl;
// std::cout << "video_row:" << video_row << std::endl;
// std::cout << "maxVal_thr:" << maxVal_thr << std::endl; // matchTemplate定位閥值
// std::cout << "min_dist:" << min_dist << std::endl; // 擷取之物件最小距離
// std::cout << "capture_min_time:" << capture_min_time << std::endl; // 擷取時間最短限制
// std::cout << "frame_height & width:" << frame_height << " x " << frame_width << std::endl; // 擷取時間最短限制
// std::cout << "frame_coordinate_x & y:" << " (" << frame_coordinate_x << "," << frame_coordinate_y << ") " << std::endl; // 擷取時間最短限制
// std::cout << "intputTarget_width:" << inputTarget_width << std::endl; //intputTarget之寬度
// std::cout << "acc_thr:" << acc_thr << std::endl; //擷取累積值閥值
// std::cout << "error_template_times:" << error_template_times << std::endl; ////matchtemplate錯誤次數，超過即尋找
//}
}
void testPicture_fun() {
//for (const auto& entry : std::filesystem::directory_iterator(testPicture_path)) {
// //std::filesystem::directory_entry entry;
//
// std::cout << entry.path();
// cv::Mat img = cv::imread(entry.path().string());
// XrayAicheck_process_testPicture(img);
// //cv::imshow("img", img);
// std::string name = entry.path().filename().string();
// std::string path = testPicture_savepath + name;
// cv::imwrite(path, img);
//}
}
int main(int argc, char* argv[])
{
//XrayAiCheck 初始化
AutoPtr<IniFileConfiguration> pConf(new IniFileConfiguration("config.ini"));
loadConfig_test(pConf);
//創建一空圖檔輸入YOLO辨識，因第一次辨識較耗時
cv::Mat mat_Default = cv::Mat(1, 1, CV_8UC3);
std::vector<bbox_t> result_CN = detector.detect(mat_Default);
//std::vector<bbox_t> result_CN2 = detector2.detect(mat_Default);
Poco::Data::ODBC::Connector::registerConnector();
const std::string& connString = dbString;
try {
session = new Session("ODBC", connString);
}
catch (std::exception& e)
{
std::cerr << "資料庫連線失敗 " << e.what() << "\n";
}
int j = 0;
double START, END; START = clock();
double capture_start, capture_end; capture_start = clock();
if (testPicture == 1) {
std::cout << "單張測試" << std::endl;
testPicture_fun();
return 0;
}
//測試影片輸入
cv::VideoCapture capture, capture1;
if (capture0_state.compare("0") == 0)
capture.open(stoi(capture0_state));
else {
if ((capture0_state != "0") || (capture0_state != "1")) {//測試輸入影片檔名
capture.open(capture0_state);
}
}
if (capture1_state.compare("1") == 0)
capture1.open(stoi(capture1_state));
else {
if ((capture1_state != "0") || (capture1_state != "1")) { //測試輸入影片檔名
capture1.open(capture1_state);
}
}
if (!capture.isOpened())
{
std::cout << "Read video Failed !" << std::endl;
return 0;
}
if (!capture1.isOpened())
{
std::cout << "Read video1 Failed !" << std::endl;
return 0;
}
if (showpic != 0) {
if(xraytype==0){
cv::namedWindow("frame", CV_WINDOW_NORMAL);
cv::resizeWindow("frame", frame_width-17, frame_height-39); //存在偏差 與實際設定不相符
cv::moveWindow("frame", frame_coordinate_x, frame_coordinate_y);
cv::setWindowProperty("frame", cv::WND_PROP_TOPMOST, 1);
//將cv::imshow之titlebar消除。
// Get window handle. It will return the handle of the video container
// There is also enclosing parent window, which will be treated later
HWND m_hMediaWindow = (HWND)cvGetWindowHandle("frame");
// change style of the child HighGui window
DWORD style = ::GetWindowLong(m_hMediaWindow, GWL_STYLE);
style &= ~WS_OVERLAPPEDWINDOW;
style |= WS_POPUP;
::SetWindowLong(m_hMediaWindow, GWL_STYLE, style);
// change style of the parent HighGui window
HWND hParent = ::FindWindow(0, CString("frame"));
style = ::GetWindowLong(hParent, GWL_STYLE);
style &= ~WS_OVERLAPPEDWINDOW;
style |= WS_POPUP;
::SetWindowLong(hParent, GWL_STYLE, style);
}
else {
cv::namedWindow("frame", CV_WINDOW_NORMAL);
cv::namedWindow("frame1", CV_WINDOW_NORMAL);
cv::resizeWindow("frame", frame_width - 17, frame_height - 39); //存在偏差 與實際設定不相符
cv::resizeWindow("frame1", frame_width - 17, frame_height - 39); //存在偏差 與實際設定不相符
cv::moveWindow("frame", frame_coordinate_x, frame_coordinate_y);
cv::moveWindow("frame1", frame_coordinate_x+946, frame_coordinate_y);
cv::setWindowProperty("frame", cv::WND_PROP_TOPMOST, 1);
cv::setWindowProperty("frame1", cv::WND_PROP_TOPMOST, 1);
// Get window handle. It will return the handle of the video container
// There is also enclosing parent window, which will be treated later
HWND m_hMediaWindow = (HWND)cvGetWindowHandle("frame");
HWND m_hMediaWindow1 = (HWND)cvGetWindowHandle("frame1");
// change style of the child HighGui window
DWORD style = ::GetWindowLong(m_hMediaWindow, GWL_STYLE);
DWORD style1 = ::GetWindowLong(m_hMediaWindow1, GWL_STYLE);
style &= ~WS_OVERLAPPEDWINDOW;
style |= WS_POPUP;
::SetWindowLong(m_hMediaWindow, GWL_STYLE, style);
::SetWindowLong(m_hMediaWindow1, GWL_STYLE, style);
// change style of the parent HighGui window
HWND hParent = ::FindWindow(0, CString("frame"));
HWND hParent1 = ::FindWindow(0, CString("frame1"));
style = ::GetWindowLong(hParent, GWL_STYLE);
style = ::GetWindowLong(hParent1, GWL_STYLE);