47 lines
1.3 KiB
C++
47 lines
1.3 KiB
C++
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#include <opencv2/imgcodecs/imgcodecs.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <string>
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#include "mmdeploy/text_detector.hpp"
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#include "mmdeploy/text_recognizer.hpp"
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int main(int argc, char* argv[]) {
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if (argc != 5) {
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fprintf(stderr, "usage:\n ocr device_name det_model_path reg_model_path image_path\n");
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return 1;
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}
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const auto device_name = argv[1];
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auto det_model_path = argv[2];
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auto reg_model_path = argv[3];
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auto image_path = argv[4];
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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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using namespace mmdeploy;
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TextDetector detector{Model(det_model_path), Device(device_name)};
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TextRecognizer recognizer{Model(reg_model_path), Device(device_name)};
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auto bboxes = detector.Apply(img);
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auto texts = recognizer.Apply(img, {bboxes.begin(), bboxes.size()});
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for (int i = 0; i < bboxes.size(); ++i) {
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fprintf(stdout, "box[%d]: %s\n", i, texts[i].text);
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std::vector<cv::Point> poly_points;
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for (const auto& pt : bboxes[i].bbox) {
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fprintf(stdout, "x: %.2f, y: %.2f, ", pt.x, pt.y);
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poly_points.emplace_back((int)pt.x, (int)pt.y);
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}
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fprintf(stdout, "\n");
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cv::polylines(img, poly_points, true, cv::Scalar{0, 255, 0});
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}
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cv::imwrite("output_ocr.png", img);
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return 0;
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}
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