65 lines
2.0 KiB
C++
65 lines
2.0 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "restorer.h"
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#include "common.h"
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namespace mmdeploy {
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class PyRestorer {
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public:
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PyRestorer(const char *model_path, const char *device_name, int device_id) {
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auto status = mmdeploy_restorer_create_by_path(model_path, device_name, device_id, &handle_);
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if (status != MM_SUCCESS) {
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throw std::runtime_error("failed to create restorer");
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}
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}
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~PyRestorer() {
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mmdeploy_restorer_destroy(handle_);
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handle_ = {};
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}
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std::vector<py::array_t<uint8_t>> Apply(const std::vector<PyImage> &imgs) {
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std::vector<mm_mat_t> mats;
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mats.reserve(imgs.size());
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for (const auto &img : imgs) {
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auto mat = GetMat(img);
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mats.push_back(mat);
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}
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mm_mat_t *results{};
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auto status = mmdeploy_restorer_apply(handle_, mats.data(), (int)mats.size(), &results);
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if (status != MM_SUCCESS) {
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throw std::runtime_error("failed to apply restorer, code: " + std::to_string(status));
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}
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auto output = std::vector<py::array_t<uint8_t>>{};
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output.reserve(mats.size());
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for (int i = 0; i < mats.size(); ++i) {
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py::array_t<uint8_t> restored({results[i].height, results[i].width, results[i].channel});
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memcpy(restored.mutable_data(), results[i].data, restored.nbytes());
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output.push_back(std::move(restored));
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}
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mmdeploy_restorer_release_result(results, (int)mats.size());
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return output;
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}
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private:
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mm_handle_t handle_{};
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};
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static void register_python_restorer(py::module &m) {
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py::class_<PyRestorer>(m, "Restorer")
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.def(py::init([](const char *model_path, const char *device_name, int device_id) {
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return std::make_unique<PyRestorer>(model_path, device_name, device_id);
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}))
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.def("__call__", &PyRestorer::Apply);
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}
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class PythonRestorerRegisterer {
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public:
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PythonRestorerRegisterer() { gPythonBindings().emplace("restorer", register_python_restorer); }
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};
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static PythonRestorerRegisterer python_restorer_registerer;
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} // namespace mmdeploy
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