52 lines
1.5 KiB
C++
52 lines
1.5 KiB
C++
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#include "mmdeploy/rotated_detector.hpp"
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <string>
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int main(int argc, char* argv[]) {
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if (argc != 4) {
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fprintf(stderr, "usage:\n oriented_object_detection device_name model_path image_path\n");
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return 1;
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}
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auto device_name = argv[1];
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auto model_path = argv[2];
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auto image_path = argv[3];
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cv::Mat img = cv::imread(image_path);
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if (!img.data) {
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fprintf(stderr, "failed to load image: %s\n", image_path);
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return 1;
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}
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mmdeploy::Model model(model_path);
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mmdeploy::RotatedDetector detector(model, mmdeploy::Device{device_name, 0});
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auto dets = detector.Apply(img);
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for (const auto& det : dets) {
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if (det.score < 0.1) {
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continue;
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}
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auto& rbbox = det.rbbox;
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float xc = rbbox[0];
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float yc = rbbox[1];
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float w = rbbox[2];
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float h = rbbox[3];
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float ag = rbbox[4];
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float wx = w / 2 * std::cos(ag);
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float wy = w / 2 * std::sin(ag);
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float hx = -h / 2 * std::sin(ag);
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float hy = h / 2 * std::cos(ag);
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cv::Point p1 = {int(xc - wx - hx), int(yc - wy - hy)};
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cv::Point p2 = {int(xc + wx - hx), int(yc + wy - hy)};
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cv::Point p3 = {int(xc + wx + hx), int(yc + wy + hy)};
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cv::Point p4 = {int(xc - wx + hx), int(yc - wy + hy)};
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cv::drawContours(img, std::vector<std::vector<cv::Point>>{{p1, p2, p3, p4}}, -1, {0, 255, 0},
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2);
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}
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cv::imwrite("output_rotated_detection.png", img);
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return 0;
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}
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