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96 lines
2.7 KiB
96 lines
2.7 KiB
#include <iostream> |
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#include "inference.h" |
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#include <filesystem> |
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#include <fstream> |
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void file_iterator(DCSP_CORE*& p) |
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{ |
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std::filesystem::path current_path = std::filesystem::current_path(); |
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std::filesystem::path imgs_path = current_path/"images"; |
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for (auto& i : std::filesystem::directory_iterator(imgs_path)) |
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{ |
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if (i.path().extension() == ".jpg" || i.path().extension() == ".png") |
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{ |
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std::string img_path = i.path().string(); |
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cv::Mat img = cv::imread(img_path); |
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std::vector<DCSP_RESULT> res; |
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p->RunSession(img, res); |
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for (auto & re : res) |
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{ |
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cv::rectangle(img, re.box, cv::Scalar(0, 0 , 255), 3); |
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std::string label = p->classes[re.classId]; |
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cv::putText( |
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img, |
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label, |
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cv::Point(re.box.x, re.box.y - 5), |
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cv::FONT_HERSHEY_SIMPLEX, |
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0.75, |
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cv::Scalar(255, 255, 0), |
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2 |
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); |
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} |
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cv::imshow("Result", img); |
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cv::waitKey(0); |
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cv::destroyAllWindows(); |
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} |
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} |
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} |
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int read_coco_yaml(DCSP_CORE*& p) |
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{ |
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// Open the YAML file |
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std::ifstream file("coco.yaml"); |
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if (!file.is_open()) { |
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std::cerr << "Failed to open file" << std::endl; |
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return 1; |
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} |
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// Read the file line by line |
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std::string line; |
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std::vector<std::string> lines; |
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while (std::getline(file, line)) { |
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lines.push_back(line); |
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} |
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// Find the start and end of the names section |
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std::size_t start = 0; |
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std::size_t end = 0; |
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for (std::size_t i = 0; i < lines.size(); i++) { |
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if (lines[i].find("names:") != std::string::npos) { |
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start = i + 1; |
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} else if (start > 0 && lines[i].find(':') == std::string::npos) { |
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end = i; |
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break; |
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} |
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} |
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// Extract the names |
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std::vector<std::string> names; |
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for (std::size_t i = start; i < end; i++) { |
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std::stringstream ss(lines[i]); |
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std::string name; |
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std::getline(ss, name, ':'); // Extract the number before the delimiter |
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std::getline(ss, name); // Extract the string after the delimiter |
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names.push_back(name); |
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} |
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p->classes = names; |
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return 0; |
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} |
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int main() |
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{ |
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DCSP_CORE* yoloDetector = new DCSP_CORE; |
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std::string model_path = "yolov8n.onnx"; |
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read_coco_yaml(yoloDetector); |
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// GPU FP32 inference |
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DCSP_INIT_PARAM params{ model_path, YOLO_ORIGIN_V8, {640, 640}, 0.1, 0.5, true }; |
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// GPU FP16 inference |
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// DCSP_INIT_PARAM params{ model_path, YOLO_ORIGIN_V8_HALF, {640, 640}, 0.1, 0.5, true }; |
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// CPU inference |
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// DCSP_INIT_PARAM params{ model_path, YOLO_ORIGIN_V8, {640, 640}, 0.1, 0.5, false }; |
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yoloDetector->CreateSession(params); |
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file_iterator(yoloDetector); |
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}
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