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36124f6205
* 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>
51 lines
1.7 KiB
C++
51 lines
1.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "opencv_utils.h"
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#include "preprocess/transform/pad.h"
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#include "preprocess/transform/transform_utils.h"
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using namespace std;
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namespace mmdeploy {
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namespace cpu {
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class PadImpl : public ::mmdeploy::PadImpl {
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public:
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PadImpl(const Value& args) : ::mmdeploy::PadImpl(args) {
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static map<string, int> border_map{{"constant", cv::BORDER_CONSTANT},
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{"edge", cv::BORDER_REPLICATE},
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{"reflect", cv::BORDER_REFLECT_101},
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{"symmetric", cv::BORDER_REFLECT}};
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if (border_map.find(arg_.padding_mode) == border_map.end()) {
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ERROR("unsupported padding_mode '{}'", arg_.padding_mode);
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throw std::invalid_argument("unsupported padding_mode");
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}
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border_type_ = border_map[arg_.padding_mode];
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}
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protected:
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Result<Tensor> PadImage(const Tensor& img, const std::array<int, 4>& padding) override {
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OUTCOME_TRY(auto tensor, MakeAvailableOnDevice(img, device_, stream_));
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cv::Mat dst_mat = Pad(Tensor2CVMat(tensor), padding[1], padding[0], padding[3], padding[2],
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border_type_, arg_.pad_val);
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return CVMat2Tensor(dst_mat);
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}
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private:
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int border_type_;
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};
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class PadImplCreator : public Creator<::mmdeploy::PadImpl> {
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public:
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const char* GetName() const override { return "cpu"; }
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int GetVersion() const override { return 1; }
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ReturnType Create(const Value& args) override { return make_unique<PadImpl>(args); }
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};
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} // namespace cpu
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} // namespace mmdeploy
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using mmdeploy::PadImpl;
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using mmdeploy::cpu::PadImplCreator;
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REGISTER_MODULE(PadImpl, PadImplCreator);
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