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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.
#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