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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>
93 lines
2.7 KiB
C++
93 lines
2.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef CORE_MAT_H
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#define CORE_MAT_H
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#include <memory>
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#include <vector>
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#include "core/device.h"
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#include "core/types.h"
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namespace mmdeploy {
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class Mat final {
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public:
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Mat() = default;
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/**
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* @brief construct a Mat for an image
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* @param h height of an image
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* @param w width of an image
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* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
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* case of nv12 or nv21, height is the real height of an image,
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* not height * 3 / 2
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* @param type data type of an pixel in each channel
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* @param device location Mat's buffer stores
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*/
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Mat(int h, int w, PixelFormat format, DataType type, Device device = Device{0},
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Allocator allocator = {});
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/**@brief construct a Mat for an image using custom data
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* @example
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* ``` c++
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* cv::Mat image = imread("test.jpg");
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* std::shared_ptr<void> data(image.data, [image=image](void* p){});
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* mmdeploy::Mat mat(image.rows, image.cols, kBGR, kINT8, data);
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* ```
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* @param h height of an image
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* @param w width of an image
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* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
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* case of nv12 or nv21, height is the real height of an image,
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* not height * 3 / 2
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* @param type data type of an pixel in each channel
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* @param data custom data
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* @param device location where `data` is on
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*/
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Mat(int h, int w, PixelFormat format, DataType type, std::shared_ptr<void> data,
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Device device = Device{0});
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/**
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* @brief construct a Mat for an image using custom data
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* @param h height of an image
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* @param w width of an image
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* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
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* case of nv12 or nv21, height is the real height of an image,
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* not height * 3 / 2
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* @param type data type of an pixel in each channel
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* @param data custom data
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* @param device location where `data` is on
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*/
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Mat(int h, int w, PixelFormat format, DataType type, void* data, Device device = Device{0});
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Device device() const;
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Buffer& buffer();
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const Buffer& buffer() const;
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PixelFormat pixel_format() const { return format_; }
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DataType type() const { return type_; }
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int height() const { return height_; }
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int width() const { return width_; }
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int channel() const { return channel_; }
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int size() const { return size_; }
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int byte_size() const { return bytes_; }
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template <typename T>
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T* data() const {
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return reinterpret_cast<T*>(buf_.GetNative());
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}
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private:
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Buffer buf_;
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PixelFormat format_{PixelFormat::kGRAYSCALE};
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DataType type_{DataType::kINT8};
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int width_{0};
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int height_{0};
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int channel_{0};
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int size_{0}; // size of elements in mat
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int bytes_{0};
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};
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} // namespace mmdeploy
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#endif // !CORE_MAT_H
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