// Copyright (c) OpenMMLab. All rights reserved. #include "text_recognizer.h" #include "common.h" namespace mmdeploy { class PyTextRecognizer { public: PyTextRecognizer(const char *model_path, const char *device_name, int device_id) { auto status = mmdeploy_text_recognizer_create_by_path(model_path, device_name, device_id, &handle_); if (status != MM_SUCCESS) { throw std::runtime_error("failed to create text_recognizer"); } } std::vector>> Apply(const std::vector &imgs) { std::vector mats; mats.reserve(imgs.size()); for (const auto &img : imgs) { auto mat = GetMat(img); mats.push_back(mat); } mm_text_recognize_t *results{}; auto status = mmdeploy_text_recognizer_apply(handle_, mats.data(), (int)mats.size(), &results); if (status != MM_SUCCESS) { throw std::runtime_error("failed to apply text_recognizer, code: " + std::to_string(status)); } auto output = std::vector>>{}; for (int i = 0; i < mats.size(); ++i) { std::vector score(results[i].score, results[i].score + results[i].length); output.emplace_back(results[i].text, std::move(score)); } mmdeploy_text_recognizer_release_result(results, (int)mats.size()); return output; } ~PyTextRecognizer() { mmdeploy_text_recognizer_destroy(handle_); handle_ = {}; } private: mm_handle_t handle_{}; }; static void register_python_text_recognizer(py::module &m) { py::class_(m, "TextRecognizer") .def(py::init([](const char *model_path, const char *device_name, int device_id) { return std::make_unique(model_path, device_name, device_id); })) .def("__call__", &PyTextRecognizer::Apply); } class PythonTextRecognizerRegisterer { public: PythonTextRecognizerRegisterer() { gPythonBindings().emplace("text_recognizer", register_python_text_recognizer); } }; static PythonTextRecognizerRegisterer python_text_recognizer_registerer; } // namespace mmdeploy