mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
93 lines
2.7 KiB
C++
93 lines
2.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#ifndef CORE_MAT_H
|
|
#define CORE_MAT_H
|
|
|
|
#include <memory>
|
|
#include <vector>
|
|
|
|
#include "core/device.h"
|
|
#include "core/types.h"
|
|
|
|
namespace mmdeploy {
|
|
|
|
class MMDEPLOY_API Mat final {
|
|
public:
|
|
Mat() = default;
|
|
|
|
/**
|
|
* @brief construct a Mat for an image
|
|
* @param h height of an image
|
|
* @param w width of an image
|
|
* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
|
|
* case of nv12 or nv21, height is the real height of an image,
|
|
* not height * 3 / 2
|
|
* @param type data type of an pixel in each channel
|
|
* @param device location Mat's buffer stores
|
|
*/
|
|
Mat(int h, int w, PixelFormat format, DataType type, Device device = Device{0},
|
|
Allocator allocator = {});
|
|
|
|
/**@brief construct a Mat for an image using custom data
|
|
* @example
|
|
* ``` c++
|
|
* cv::Mat image = imread("test.jpg");
|
|
* std::shared_ptr<void> data(image.data, [image=image](void* p){});
|
|
* mmdeploy::Mat mat(image.rows, image.cols, kBGR, kINT8, data);
|
|
* ```
|
|
* @param h height of an image
|
|
* @param w width of an image
|
|
* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
|
|
* case of nv12 or nv21, height is the real height of an image,
|
|
* not height * 3 / 2
|
|
* @param type data type of an pixel in each channel
|
|
* @param data custom data
|
|
* @param device location where `data` is on
|
|
*/
|
|
Mat(int h, int w, PixelFormat format, DataType type, std::shared_ptr<void> data,
|
|
Device device = Device{0});
|
|
|
|
/**
|
|
* @brief construct a Mat for an image using custom data
|
|
* @param h height of an image
|
|
* @param w width of an image
|
|
* @param format pixel format of an image, rgb, bgr, gray etc. Note that in
|
|
* case of nv12 or nv21, height is the real height of an image,
|
|
* not height * 3 / 2
|
|
* @param type data type of an pixel in each channel
|
|
* @param data custom data
|
|
* @param device location where `data` is on
|
|
*/
|
|
Mat(int h, int w, PixelFormat format, DataType type, void* data, Device device = Device{0});
|
|
|
|
Device device() const;
|
|
Buffer& buffer();
|
|
const Buffer& buffer() const;
|
|
PixelFormat pixel_format() const { return format_; }
|
|
DataType type() const { return type_; }
|
|
int height() const { return height_; }
|
|
int width() const { return width_; }
|
|
int channel() const { return channel_; }
|
|
int size() const { return size_; }
|
|
int byte_size() const { return bytes_; }
|
|
|
|
template <typename T>
|
|
T* data() const {
|
|
return reinterpret_cast<T*>(buf_.GetNative());
|
|
}
|
|
|
|
private:
|
|
Buffer buf_;
|
|
PixelFormat format_{PixelFormat::kGRAYSCALE};
|
|
DataType type_{DataType::kINT8};
|
|
int width_{0};
|
|
int height_{0};
|
|
int channel_{0};
|
|
int size_{0}; // size of elements in mat
|
|
int bytes_{0};
|
|
};
|
|
|
|
} // namespace mmdeploy
|
|
|
|
#endif // !CORE_MAT_H
|