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5.39 kB
| namespace py = pybind11; | |
| PYBIND11_MODULE(adaptbytetrack, m) { | |
| // Adaptive ByteTracker | |
| py::class_<BYTETracker>(m, "BYTETracker") | |
| .def(py::init<int, int, float, float, bool > ()) | |
| .def("update", &BYTETracker::update); | |
| } | |
| using namespace std; | |
| using namespace Eigen; | |
| MatrixXd read_txt(string file_name = "", char delim = ' ') { | |
| std::ifstream inRowCol(file_name); | |
| std::string lineRowCol; | |
| int nrows = 0; | |
| int ncols = 0; | |
| while (std::getline(inRowCol, lineRowCol)) { | |
| nrows++; | |
| // Split the line by comma and count the number of elements | |
| std::vector<std::string> res; | |
| std::stringstream ss(lineRowCol); | |
| std::string element; | |
| ncols = 0; | |
| while (std::getline(ss, element, delim)) { | |
| ncols++; | |
| } | |
| } | |
| if (ncols == 0) { | |
| return MatrixXd(nrows, ncols); // column vector, no delimiter | |
| } | |
| std::ifstream in(file_name); | |
| std::string line; | |
| int row = 0; | |
| int col = 0; | |
| Eigen::MatrixXd res = Eigen::MatrixXd(nrows, ncols); | |
| if (in.is_open()) { | |
| while (std::getline(in, line)) { | |
| char *ptr = (char *) line.c_str(); | |
| int len = line.length(); | |
| col = 0; | |
| char *start = ptr; | |
| for (int i = 0; i < len; i++) { | |
| if (ptr[i] == delim) { | |
| res(row, col++) = atof(start); | |
| start = ptr + i + 1; | |
| } | |
| } | |
| res(row, col) = atof(start); | |
| row++; | |
| } | |
| in.close(); | |
| } | |
| return res; | |
| } | |
| void write_results(const string &filename, const vector<vector<float>> &results) { | |
| std::ofstream file(filename); | |
| if (!file.is_open()) { | |
| std::cerr << "Error: cannot open file " << filename << std::endl; | |
| return; | |
| } | |
| for (const vector<float> &result: results) { | |
| int frame_id = result[0]; | |
| int track_id = result[1]; | |
| if (track_id < 0) continue; | |
| float x1 = result[2]; | |
| float y1 = result[3]; | |
| float w = result[4]; | |
| float h = result[5]; | |
| float s = 1; // default score of a track | |
| file << frame_id << "," | |
| << track_id << "," | |
| << std::fixed << std::setprecision(1) | |
| << x1 << "," << y1 << "," << w << "," << h << "," | |
| << std::setprecision(2) << s << ",-1,-1,-1\n"; | |
| } | |
| file.close(); | |
| std::cout << "Saved results to " << filename << std::endl; | |
| } | |
| cv::Scalar get_color(int idx) { | |
| idx = (idx + 1) * 50; | |
| int r = (37 * idx) % 255; | |
| int g = (17 * idx) % 255; | |
| int b = (29 * idx) % 255; | |
| return cv::Scalar(b, g, r); // OpenCV uses BGR color format | |
| } | |
| //int main() { | |
| // MatrixXd arr = read_txt("../detection/bytetrack/MOT16-02.txt", ','); | |
| // int n_frames = arr.col(0).maxCoeff(); | |
| // | |
| // BYTETracker byteTracker(30, 30); | |
| // vector<cv::String> fn; | |
| // glob("/media/ubuntu/2715608D71CBF6FC/datasets/mot/MOT16/train/MOT16-02/img1/*.jpg", fn, false); | |
| // | |
| // vector<vector<float>> results; | |
| // for (int frame = 0; frame < n_frames; frame++) { | |
| // std::vector<vector<float>> rects; | |
| // for (int i = 0; i < arr.rows(); i++) { | |
| // if (arr(i, 0) == frame) { | |
| // float left = static_cast<float>(arr(i, 1)); | |
| // float top = static_cast<float>(arr(i, 2)); | |
| // float right = static_cast<float>(arr(i, 3)); | |
| // float bottom = static_cast<float>(arr(i, 4)); | |
| // float conf = static_cast<float>(arr(i, 5)); | |
| // vector<float> row = {left, top, right, bottom, conf}; | |
| // rects.emplace_back(row); | |
| // } | |
| // } | |
| // | |
| // cv::Mat img = cv::imread(fn[frame]); | |
| // vector<vector<float>> output_tracks = byteTracker.update(rects, fn[frame]); | |
| // | |
| // cv::putText(img, //target image | |
| // "Frame " + std::to_string(frame), //text | |
| // cv::Point(30, 30), //top-left position | |
| // cv::FONT_HERSHEY_DUPLEX, | |
| // 1, | |
| // CV_RGB(255, 0, 0), //font color | |
| // 2); | |
| // for (vector<float> track: output_tracks) { | |
| // Scalar c = get_color((int) track[0]); | |
| // cv::Rect rect(track[1], track[2], track[3], track[4]); | |
| // cv::rectangle(img, rect, c, 2); | |
| // cv::putText(img, //target image | |
| // std::to_string(int(track[0])), //text | |
| // cv::Point(track[1] + 5, track[2] + 20), //top-left position | |
| // cv::FONT_HERSHEY_DUPLEX, | |
| // 0.8, | |
| // c, //font color | |
| // 1); | |
| // vector<float> f_track = {(float) (frame), track[0], track[1], track[2], track[3], track[4]}; | |
| // results.emplace_back(f_track); | |
| // } | |
| // cv::imshow("Image", img); | |
| // cv::waitKey(10); | |
| // } | |
| // write_results("MOT16-02.txt", results); | |
| // | |
| // return 0; | |
| //} |