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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>
79 lines
2.0 KiB
C++
79 lines
2.0 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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// clang-format off
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#include "catch.hpp"
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// clang-format on
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#include <fstream>
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#include <numeric>
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#include "archive/json_archive.h"
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#include "core/graph.h"
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#include "core/mat.h"
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#include "core/registry.h"
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using namespace mmdeploy;
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class DrawOCR : public Module {
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public:
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explicit DrawOCR(const Value& config) {}
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Result<Value> Process(const Value& input) override { return Value{ValueType::kNull}; }
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private:
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};
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class DrawOCRCreator : public mmdeploy::Creator<Module> {
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public:
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const char* GetName() const override { return "DrawOCR"; }
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int GetVersion() const override { return 0; }
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std::unique_ptr<Module> Create(const Value& value) override {
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return std::make_unique<DrawOCR>(value);
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}
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};
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REGISTER_MODULE(Module, DrawOCRCreator);
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TEST_CASE("test ocr det & recog", "[ocr_det_recog]") {
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using namespace mmdeploy;
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std::string json_str;
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{
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std::ifstream ifs("../../tests/data/config/ocr_det_recog.json");
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REQUIRE(ifs.is_open());
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json_str = std::string(std::istreambuf_iterator<char>(ifs), std::istreambuf_iterator<char>());
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}
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auto json = nlohmann::json::parse(json_str);
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auto value = mmdeploy::from_json<mmdeploy::Value>(json);
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Device device{"cpu", 0};
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auto stream = Stream::GetDefault(device);
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value["context"].update({{"device", device}, {"stream", stream}});
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auto pipeline = Registry<graph::Node>::Get().GetCreator("Pipeline")->Create(value);
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REQUIRE(pipeline);
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graph::TaskGraph graph;
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pipeline->Build(graph);
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const auto img_list = "../../tests/data/config/ocr_det_recog.list";
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std::vector<std::string> files;
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{
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std::ifstream ifs(img_list);
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std::string path;
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while (ifs >> path) {
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files.push_back(path);
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}
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}
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auto output = graph.Run({{{{"filename", files[0]}},
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{{"filename", files[1]}},
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{{"filename", files[2]}},
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{{"filename", files[3]}}}});
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REQUIRE(output);
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INFO("output: {}", output.value());
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}
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