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https://github.com/open-mmlab/mmdeploy.git
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* check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
76 lines
1.8 KiB
C++
76 lines
1.8 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include <fstream>
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#include "archive/json_archive.h"
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#include "core/model.h"
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#include "core/model_impl.h"
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using nlohmann::json;
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#if __GNUC__ >= 8
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#include <filesystem>
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namespace fs = std::filesystem;
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#else
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#include <experimental/filesystem>
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namespace fs = std::experimental::filesystem;
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#endif
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namespace mmdeploy {
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class DirectoryModelImpl : public ModelImpl {
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public:
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DirectoryModelImpl() = default;
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Result<void> Init(const std::string& sdk_model_path) override {
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auto path = fs::path{sdk_model_path};
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if (!is_directory(path)) {
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return Status(eInvalidArgument);
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}
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root_ = fs::path{sdk_model_path};
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return success();
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}
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Result<std::string> ReadFile(const std::string& file_path) const override {
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auto _path = root_ / fs::path(file_path);
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std::ifstream ifs(_path, std::ios::binary | std::ios::in);
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if (!ifs.is_open()) {
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return Status(eFail);
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}
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ifs.seekg(0, std::ios::end);
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auto size = ifs.tellg();
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ifs.seekg(0, std::ios::beg);
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std::string str(size, '\0');
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ifs.read(str.data(), size);
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return str;
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}
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Result<deploy_meta_info_t> ReadMeta() const override {
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OUTCOME_TRY(auto deploy_json, ReadFile("deploy.json"));
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try {
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deploy_meta_info_t meta;
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from_json(json::parse(deploy_json), meta);
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return meta;
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} catch (std::exception& e) {
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ERROR("exception happened: {}", e.what());
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return Status(eFail);
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}
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}
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private:
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fs::path root_;
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};
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class DirectoryModelRegister {
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public:
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DirectoryModelRegister() {
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(void)ModelRegistry::Get().Register("DirectoryModel", []() -> std::unique_ptr<ModelImpl> {
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return std::make_unique<DirectoryModelImpl>();
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});
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}
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};
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static DirectoryModelRegister directory_model_register;
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} // namespace mmdeploy
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