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main.cpp
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//
// Created by wangzijian on 2023/8/22.
//
#include "opencv2/opencv.hpp"
#include "onnxruntime_cxx_api.h"
#include "iostream"
#include "utils/utils.h"
#include "lite/cv/CutOut/ModNet.h"
#include "lite/cv/LightEnhance/LightEnhance.h"
#include "lite/cv/Photo2Cartoon/Photo2Cartoon.h"
#include "lite/cv/Detect/Detic/DeticDet.h"
#include "lite/cv/SketchDraw/informative_draw.h"
#include "lite/cv/Resolution/CodeFormer.h"
using namespace std;
int main() {
#ifdef _WIN32
ModNet modNet;
string srcImg = "D:\\Users\\Desktop\\modnet_tiny_onnx\\test.jpg";
string outImg = "E:\\lite.ai.toolkit.win\\result\\test_modnet.jpg";
modNet.detect(srcImg,outImg);
LightEnhance lightEnhance;
string srcImg1 = "D:\\Users\\Desktop\\inference_model\\input\\1.jpg";
string outImg1 = "E:\\lite.ai.toolkit.win\\result\\test_lightenhance.jpg";
lightEnhance.detect(srcImg1, outImg1);
cout << "hello lite ai" << endl;
#elif linux
// 人像分割测试
ModNet modNet;
string srcImg = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/modnetTest.jpg";
string outImg = "/home/wangzijian/Desktop/lite.ai.toolkit.win/result/modnetTest_linux3.jpg";
modNet.detect(srcImg, outImg);
// 暗光增强测试
LightEnhance lightEnhance;
string srcImg1 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/lightenhanceTest.jpg";
string outImg1 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/result/lightenhanceTest_linux3.jpg";
lightEnhance.detect(srcImg1, outImg1);
// photocartoon
Photo2Cartoon photo2Cartoon;
string srcImg2 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/photo2cartoonTest.jpg";
string outImg2 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/result/photo2cartoonTest_linux3.jpg";
// photo2Cartoon.detect1(srcImg2, outImg2);
photo2Cartoon.detect(srcImg2, outImg2);
// 测试通过
// 待完善
DeticDet deticDet;
string srcImg3 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/desk.jpg";
deticDet.detect(srcImg3);
// test
// 这里有三个模型可以选择
// 素笔画
Informative_Draw informativeDraw;
string srcImg4 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/drawTest.png";
string outImg4 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/result/DrawingsTest_linux3Test.jpg";
informativeDraw.detect(srcImg4, outImg4);
// 超分模型
CodeFormer codeFormer;
string srcImg5 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/resource/codefomerTest.png";
string outImg5 = "/home/wangzijian/Desktop/lite.ai.toolkit.win/result/codefomerTest_linux.jpg";
codeFormer.detect(srcImg5,outImg5);
cout << "hello lite ai" << endl;
#endif
}