mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
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>
41 lines
1.2 KiB
C++
41 lines
1.2 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#include "opencv_utils.h"
|
|
#include "preprocess/transform/crop.h"
|
|
#include "preprocess/transform/transform_utils.h"
|
|
|
|
using namespace std;
|
|
|
|
namespace mmdeploy {
|
|
namespace cpu {
|
|
|
|
class CenterCropImpl : public ::mmdeploy::CenterCropImpl {
|
|
public:
|
|
explicit CenterCropImpl(const Value& args) : ::mmdeploy::CenterCropImpl(args) {}
|
|
|
|
protected:
|
|
Result<Tensor> CropImage(const Tensor& tensor, int top, int left, int bottom,
|
|
int right) override {
|
|
OUTCOME_TRY(auto src_tensor, MakeAvailableOnDevice(tensor, device_, stream_));
|
|
|
|
cv::Mat mat = Tensor2CVMat(src_tensor);
|
|
cv::Mat cropped_mat = Crop(mat, top, left, bottom, right);
|
|
return CVMat2Tensor(cropped_mat);
|
|
}
|
|
};
|
|
|
|
class CenterCropImplCreator : public Creator<::mmdeploy::CenterCropImpl> {
|
|
public:
|
|
const char* GetName() const override { return "cpu"; }
|
|
int GetVersion() const override { return 1; }
|
|
ReturnType Create(const Value& args) override { return make_unique<CenterCropImpl>(args); }
|
|
};
|
|
|
|
} // namespace cpu
|
|
} // namespace mmdeploy
|
|
|
|
using ::mmdeploy::CenterCropImpl;
|
|
using ::mmdeploy::cpu::CenterCropImplCreator;
|
|
|
|
REGISTER_MODULE(CenterCropImpl, CenterCropImplCreator);
|