mmdeploy/csrc/preprocess/cpu/normalize_impl.cpp
lvhan028 36124f6205
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

42 lines
1.2 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "core/registry.h"
#include "opencv_utils.h"
#include "preprocess/transform/normalize.h"
#include "preprocess/transform/transform_utils.h"
using namespace std;
namespace mmdeploy {
namespace cpu {
class NormalizeImpl : public ::mmdeploy::NormalizeImpl {
public:
NormalizeImpl(const Value& value) : ::mmdeploy::NormalizeImpl(value){};
~NormalizeImpl() = default;
protected:
Result<Tensor> NormalizeImage(const Tensor& tensor) override {
OUTCOME_TRY(auto src_tensor, MakeAvailableOnDevice(tensor, device_, stream_));
auto mat = Tensor2CVMat(src_tensor);
auto dst_mat = Normalize(mat, arg_.mean, arg_.std, arg_.to_rgb, true);
return CVMat2Tensor(dst_mat);
}
};
class NormalizeImplCreator : public Creator<::mmdeploy::NormalizeImpl> {
public:
const char* GetName() const override { return "cpu"; }
int GetVersion() const override { return 1; }
std::unique_ptr<::mmdeploy::NormalizeImpl> Create(const Value& args) override {
return make_unique<NormalizeImpl>(args);
}
};
} // namespace cpu
} // namespace mmdeploy
using mmdeploy::NormalizeImpl;
using mmdeploy::cpu::NormalizeImplCreator;
REGISTER_MODULE(NormalizeImpl, NormalizeImplCreator);