mmdeploy/tests/test_csrc/graph/test_ocr.cpp

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Merge sdk (#251) * 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>
2021-12-07 10:57:55 +08:00
// Copyright (c) OpenMMLab. All rights reserved.
// clang-format off
#include "catch.hpp"
// clang-format on
#include <fstream>
#include <numeric>
#include "archive/json_archive.h"
#include "core/graph.h"
#include "core/mat.h"
#include "core/registry.h"
using namespace mmdeploy;
class DrawOCR : public Module {
public:
explicit DrawOCR(const Value& config) {}
Result<Value> Process(const Value& input) override { return Value{ValueType::kNull}; }
private:
};
class DrawOCRCreator : public mmdeploy::Creator<Module> {
public:
const char* GetName() const override { return "DrawOCR"; }
int GetVersion() const override { return 0; }
std::unique_ptr<Module> Create(const Value& value) override {
return std::make_unique<DrawOCR>(value);
}
};
REGISTER_MODULE(Module, DrawOCRCreator);
TEST_CASE("test ocr det & recog", "[ocr_det_recog]") {
using namespace mmdeploy;
std::string json_str;
{
std::ifstream ifs("../../tests/data/config/ocr_det_recog.json");
REQUIRE(ifs.is_open());
json_str = std::string(std::istreambuf_iterator<char>(ifs), std::istreambuf_iterator<char>());
}
auto json = nlohmann::json::parse(json_str);
auto value = mmdeploy::from_json<mmdeploy::Value>(json);
Device device{"cpu", 0};
auto stream = Stream::GetDefault(device);
value["context"].update({{"device", device}, {"stream", stream}});
auto pipeline = Registry<graph::Node>::Get().GetCreator("Pipeline")->Create(value);
REQUIRE(pipeline);
graph::TaskGraph graph;
pipeline->Build(graph);
const auto img_list = "../../tests/data/config/ocr_det_recog.list";
std::vector<std::string> files;
{
std::ifstream ifs(img_list);
std::string path;
while (ifs >> path) {
files.push_back(path);
}
}
auto output = graph.Run({{{{"filename", files[0]}},
{{"filename", files[1]}},
{{"filename", files[2]}},
{{"filename", files[3]}}}});
REQUIRE(output);
INFO("output: {}", output.value());
}