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main.cpp
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main.cpp
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//
// Created by ubuntu on 1/20/23.
//
#include "opencv2/opencv.hpp"
#include "yolov8.hpp"
#include <chrono>
namespace fs = ghc::filesystem;
const std::vector<std::string> CLASS_NAMES = {
"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train",
"truck", "boat", "traffic light", "fire hydrant", "stop sign", "parking meter", "bench",
"bird", "cat", "dog", "horse", "sheep", "cow", "elephant",
"bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie",
"suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat",
"baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup",
"fork", "knife", "spoon", "bowl", "banana", "apple", "sandwich",
"orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake",
"chair", "couch", "potted plant", "bed", "dining table", "toilet", "tv",
"laptop", "mouse", "remote", "keyboard", "cell phone", "microwave", "oven",
"toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors",
"teddy bear", "hair drier", "toothbrush"};
const std::vector<std::vector<unsigned int>> COLORS = {
{0, 114, 189}, {217, 83, 25}, {237, 177, 32}, {126, 47, 142}, {119, 172, 48}, {77, 190, 238},
{162, 20, 47}, {76, 76, 76}, {153, 153, 153}, {255, 0, 0}, {255, 128, 0}, {191, 191, 0},
{0, 255, 0}, {0, 0, 255}, {170, 0, 255}, {85, 85, 0}, {85, 170, 0}, {85, 255, 0},
{170, 85, 0}, {170, 170, 0}, {170, 255, 0}, {255, 85, 0}, {255, 170, 0}, {255, 255, 0},
{0, 85, 128}, {0, 170, 128}, {0, 255, 128}, {85, 0, 128}, {85, 85, 128}, {85, 170, 128},
{85, 255, 128}, {170, 0, 128}, {170, 85, 128}, {170, 170, 128}, {170, 255, 128}, {255, 0, 128},
{255, 85, 128}, {255, 170, 128}, {255, 255, 128}, {0, 85, 255}, {0, 170, 255}, {0, 255, 255},
{85, 0, 255}, {85, 85, 255}, {85, 170, 255}, {85, 255, 255}, {170, 0, 255}, {170, 85, 255},
{170, 170, 255}, {170, 255, 255}, {255, 0, 255}, {255, 85, 255}, {255, 170, 255}, {85, 0, 0},
{128, 0, 0}, {170, 0, 0}, {212, 0, 0}, {255, 0, 0}, {0, 43, 0}, {0, 85, 0},
{0, 128, 0}, {0, 170, 0}, {0, 212, 0}, {0, 255, 0}, {0, 0, 43}, {0, 0, 85},
{0, 0, 128}, {0, 0, 170}, {0, 0, 212}, {0, 0, 255}, {0, 0, 0}, {36, 36, 36},
{73, 73, 73}, {109, 109, 109}, {146, 146, 146}, {182, 182, 182}, {219, 219, 219}, {0, 114, 189},
{80, 183, 189}, {128, 128, 0}};
int main(int argc, char** argv)
{
if (argc != 3) {
fprintf(stderr, "Usage: %s [engine_path] [image_path/image_dir/video_path]\n", argv[0]);
return -1;
}
// cuda:0
cudaSetDevice(0);
const std::string engine_file_path{argv[1]};
const fs::path path{argv[2]};
std::vector<std::string> imagePathList;
bool isVideo{false};
auto yolov8 = new YOLOv8(engine_file_path);
yolov8->make_pipe(true);
if (fs::exists(path)) {
std::string suffix = path.extension();
if (suffix == ".jpg" || suffix == ".jpeg" || suffix == ".png") {
imagePathList.push_back(path);
}
else if (suffix == ".mp4" || suffix == ".avi" || suffix == ".m4v" || suffix == ".mpeg" || suffix == ".mov"
|| suffix == ".mkv") {
isVideo = true;
}
else {
printf("suffix %s is wrong !!!\n", suffix.c_str());
std::abort();
}
}
else if (fs::is_directory(path)) {
cv::glob(path.string() + "/*.jpg", imagePathList);
}
cv::Mat res, image;
cv::Size size = cv::Size{640, 640};
std::vector<Object> objs;
cv::namedWindow("result", cv::WINDOW_AUTOSIZE);
if (isVideo) {
cv::VideoCapture cap(path);
if (!cap.isOpened()) {
printf("can not open %s\n", path.c_str());
return -1;
}
while (cap.read(image)) {
objs.clear();
yolov8->copy_from_Mat(image, size);
auto start = std::chrono::system_clock::now();
yolov8->infer();
auto end = std::chrono::system_clock::now();
yolov8->postprocess(objs);
yolov8->draw_objects(image, res, objs, CLASS_NAMES, COLORS);
auto tc = (double)std::chrono::duration_cast<std::chrono::microseconds>(end - start).count() / 1000.;
printf("cost %2.4lf ms\n", tc);
cv::imshow("result", res);
if (cv::waitKey(10) == 'q') {
break;
}
}
}
else {
for (auto& p : imagePathList) {
objs.clear();
image = cv::imread(p);
yolov8->copy_from_Mat(image, size);
auto start = std::chrono::system_clock::now();
yolov8->infer();
auto end = std::chrono::system_clock::now();
yolov8->postprocess(objs);
yolov8->draw_objects(image, res, objs, CLASS_NAMES, COLORS);
auto tc = (double)std::chrono::duration_cast<std::chrono::microseconds>(end - start).count() / 1000.;
printf("cost %2.4lf ms\n", tc);
cv::imshow("result", res);
cv::waitKey(0);
}
}
cv::destroyAllWindows();
delete yolov8;
return 0;
}