lzhangzz 640aa03538
Support Windows (#106)
* 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>
2022-02-24 20:08:44 +08:00

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