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

51 lines
1.1 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#ifndef MMDEPLOY_IMAGE2TENSOR_H
#define MMDEPLOY_IMAGE2TENSOR_H
#include "core/tensor.h"
#include "transform.h"
namespace mmdeploy {
/**
* Convert image to `Tensor` by given keys.
*
* The dimension order of input image is (1, H, W, C). The pipeline will convert
* it to (1, C, H, W).
*
*/
class ImageToTensorImpl : public TransformImpl {
public:
ImageToTensorImpl(const Value& args);
~ImageToTensorImpl() = default;
Result<Value> Process(const Value& input) override;
protected:
virtual Result<Tensor> HWC2CHW(const Tensor& tensor) = 0;
protected:
struct to_img_tensor_arg_t {
std::vector<std::string> keys;
};
using ArgType = struct to_img_tensor_arg_t;
protected:
ArgType arg_;
};
class ImageToTensor : public Transform {
public:
explicit ImageToTensor(const Value& args, int version = 0);
~ImageToTensor() = default;
Result<Value> Process(const Value& input) override { return impl_->Process(input); }
private:
std::unique_ptr<ImageToTensorImpl> impl_;
};
} // namespace mmdeploy
#endif // MMDEPLOY_IMAGE2TENSOR_H