提交 00b0094b 编写于 作者: N nihuini

copy-pasta makes msvc happy

上级 9a12597d
...@@ -17,15 +17,9 @@ ...@@ -17,15 +17,9 @@
#cmakedefine01 NCNN_STDIO #cmakedefine01 NCNN_STDIO
#cmakedefine01 NCNN_STRING #cmakedefine01 NCNN_STRING
#ifndef NCNN_SIMPLEOCV
#cmakedefine01 NCNN_SIMPLEOCV #cmakedefine01 NCNN_SIMPLEOCV
#endif // NCNN_SIMPLEOCV
#ifndef NCNN_SIMPLEOMP
#cmakedefine01 NCNN_SIMPLEOMP #cmakedefine01 NCNN_SIMPLEOMP
#endif // NCNN_SIMPLEOMP
#ifndef NCNN_SIMPLESTL
#cmakedefine01 NCNN_SIMPLESTL #cmakedefine01 NCNN_SIMPLESTL
#endif // NCNN_SIMPLESTL
#cmakedefine01 NCNN_THREADS #cmakedefine01 NCNN_THREADS
#cmakedefine01 NCNN_BENCHMARK #cmakedefine01 NCNN_BENCHMARK
#cmakedefine01 NCNN_PLATFORM_API #cmakedefine01 NCNN_PLATFORM_API
......
...@@ -35,7 +35,7 @@ public: ...@@ -35,7 +35,7 @@ public:
} }
}; };
std::unique_ptr<OperationPass<FuncOp>> createNCNNOptimizePass(); std::unique_ptr<OperationPass<FuncOp> > createNCNNOptimizePass();
} // namespace ncnn } // namespace ncnn
......
...@@ -42,7 +42,7 @@ void NCNNOptimizePass::runOnFunction() ...@@ -42,7 +42,7 @@ void NCNNOptimizePass::runOnFunction()
(void)mlir::applyPatternsAndFoldGreedily(getFunction(), std::move(patterns)); (void)mlir::applyPatternsAndFoldGreedily(getFunction(), std::move(patterns));
} }
std::unique_ptr<OperationPass<FuncOp>> createNCNNOptimizePass() std::unique_ptr<OperationPass<FuncOp> > createNCNNOptimizePass()
{ {
return std::make_unique<NCNNOptimizePass>(); return std::make_unique<NCNNOptimizePass>();
} }
......
...@@ -23,9 +23,8 @@ if(NCNN_PIXEL) ...@@ -23,9 +23,8 @@ if(NCNN_PIXEL)
target_compile_definitions(ncnn2table PUBLIC USE_NCNN_SIMPLEOCV) target_compile_definitions(ncnn2table PUBLIC USE_NCNN_SIMPLEOCV)
target_link_libraries(ncnn2table PRIVATE ncnn) target_link_libraries(ncnn2table PRIVATE ncnn)
else() else()
add_executable(ncnn2table ncnn2table.cpp ../../src/simpleocv.cpp) add_executable(ncnn2table ncnn2table.cpp imreadwrite.cpp)
target_compile_definitions(ncnn2table PUBLIC NCNN_SIMPLEOCV=1) target_compile_definitions(ncnn2table PUBLIC USE_LOCAL_IMREADWRITE)
target_compile_definitions(ncnn2table PUBLIC USE_NCNN_SIMPLEOCV)
target_link_libraries(ncnn2table PRIVATE ncnn) target_link_libraries(ncnn2table PRIVATE ncnn)
endif() endif()
......
// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "imreadwrite.h"
#include <stdio.h>
#define STB_IMAGE_IMPLEMENTATION
#define STBI_NO_THREAD_LOCALS
#define STBI_ONLY_JPEG
#define STBI_ONLY_PNG
#define STBI_ONLY_BMP
#define STBI_ONLY_PNM
#include "../../src/stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "../../src/stb_image_write.h"
namespace cv {
Mat imread(const std::string& path, int flags)
{
int desired_channels = 0;
if (flags == IMREAD_UNCHANGED)
{
desired_channels = 0;
}
else if (flags == IMREAD_GRAYSCALE)
{
desired_channels = 1;
}
else if (flags == IMREAD_COLOR)
{
desired_channels = 3;
}
else
{
// unknown flags
return Mat();
}
int w;
int h;
int c;
unsigned char* pixeldata = stbi_load(path.c_str(), &w, &h, &c, desired_channels);
if (!pixeldata)
{
// load failed
return Mat();
}
if (desired_channels)
{
c = desired_channels;
}
// copy pixeldata to Mat
Mat img;
if (c == 1)
{
img.create(h, w, CV_8UC1);
}
else if (c == 3)
{
img.create(h, w, CV_8UC3);
}
else if (c == 4)
{
img.create(h, w, CV_8UC4);
}
else
{
// unexpected channels
stbi_image_free(pixeldata);
return Mat();
}
memcpy(img.data, pixeldata, w * h * c);
stbi_image_free(pixeldata);
// // resolve exif orientation
// {
// std::ifstream ifs;
// ifs.open(filename.c_str(), std::ifstream::in);
//
// if (ifs.good())
// {
// ExifReader exif_reader(ifs);
// if (exif_reader.parse())
// {
// ExifEntry_t e = exif_reader.getTag(ORIENTATION);
// int orientation = e.field_u16;
// if (orientation >= 1 && orientation <= 8)
// rotate_by_orientation(img, img, orientation);
// }
// }
//
// ifs.close();
// }
// rgb to bgr
if (c == 3)
{
uchar* p = img.data;
for (int i = 0; i < w * h; i++)
{
std::swap(p[0], p[2]);
p += 3;
}
}
if (c == 4)
{
uchar* p = img.data;
for (int i = 0; i < w * h; i++)
{
std::swap(p[0], p[2]);
p += 4;
}
}
return img;
}
bool imwrite(const std::string& path, const Mat& m, const std::vector<int>& params)
{
const char* _ext = strrchr(path.c_str(), '.');
if (!_ext)
{
// missing extension
return false;
}
std::string ext = _ext;
Mat img = m.clone();
// bgr to rgb
int c = 0;
if (img.type() == CV_8UC1)
{
c = 1;
}
else if (img.type() == CV_8UC3)
{
c = 3;
uchar* p = img.data;
for (int i = 0; i < img.cols * img.rows; i++)
{
std::swap(p[0], p[2]);
p += 3;
}
}
else if (img.type() == CV_8UC4)
{
c = 4;
uchar* p = img.data;
for (int i = 0; i < img.cols * img.rows; i++)
{
std::swap(p[0], p[2]);
p += 4;
}
}
else
{
// unexpected image channels
return false;
}
bool success = false;
if (ext == ".jpg" || ext == ".jpeg" || ext == ".JPG" || ext == ".JPEG")
{
int quality = 95;
for (size_t i = 0; i < params.size(); i += 2)
{
if (params[i] == IMWRITE_JPEG_QUALITY)
{
quality = params[i + 1];
break;
}
}
success = stbi_write_jpg(path.c_str(), img.cols, img.rows, c, img.data, quality);
}
else if (ext == ".png" || ext == ".PNG")
{
success = stbi_write_png(path.c_str(), img.cols, img.rows, c, img.data, 0);
}
else if (ext == ".bmp" || ext == ".BMP")
{
success = stbi_write_bmp(path.c_str(), img.cols, img.rows, c, img.data);
}
else
{
// unknown extension type
return false;
}
return success;
}
} // namespace cv
// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef IMREADWRITE_H
#define IMREADWRITE_H
#include <limits.h>
#include <string.h>
#include "allocator.h"
#include "mat.h"
#ifndef NCNN_XADD
using ncnn::NCNN_XADD;
#endif
typedef unsigned char uchar;
enum
{
CV_LOAD_IMAGE_UNCHANGED = -1,
CV_LOAD_IMAGE_GRAYSCALE = 0,
CV_LOAD_IMAGE_COLOR = 1,
};
enum
{
CV_IMWRITE_JPEG_QUALITY = 1
};
// minimal opencv style data structure implementation
namespace cv {
#define CV_8UC1 1
#define CV_8UC3 3
#define CV_8UC4 4
#define CV_32FC1 4
struct Mat
{
Mat()
: data(0), refcount(0), rows(0), cols(0), c(0)
{
}
Mat(int _rows, int _cols, int flags)
: data(0), refcount(0)
{
create(_rows, _cols, flags);
}
// copy
Mat(const Mat& m)
: data(m.data), refcount(m.refcount)
{
if (refcount)
NCNN_XADD(refcount, 1);
rows = m.rows;
cols = m.cols;
c = m.c;
}
Mat(int _rows, int _cols, int flags, void* _data)
: data((unsigned char*)_data), refcount(0)
{
rows = _rows;
cols = _cols;
c = flags;
}
~Mat()
{
release();
}
// assign
Mat& operator=(const Mat& m)
{
if (this == &m)
return *this;
if (m.refcount)
NCNN_XADD(m.refcount, 1);
release();
data = m.data;
refcount = m.refcount;
rows = m.rows;
cols = m.cols;
c = m.c;
return *this;
}
void create(int _rows, int _cols, int flags)
{
release();
rows = _rows;
cols = _cols;
c = flags;
if (total() > 0)
{
// refcount address must be aligned, so we expand totalsize here
size_t totalsize = (total() + 3) >> 2 << 2;
data = (uchar*)ncnn::fastMalloc(totalsize + (int)sizeof(*refcount));
refcount = (int*)(((uchar*)data) + totalsize);
*refcount = 1;
}
}
void release()
{
if (refcount && NCNN_XADD(refcount, -1) == 1)
ncnn::fastFree(data);
data = 0;
rows = 0;
cols = 0;
c = 0;
refcount = 0;
}
Mat clone() const
{
if (empty())
return Mat();
Mat m(rows, cols, c);
if (total() > 0)
{
memcpy(m.data, data, total());
}
return m;
}
bool empty() const
{
return data == 0 || total() == 0;
}
int type() const
{
return c;
}
size_t total() const
{
return cols * rows * c;
}
uchar* data;
// pointer to the reference counter;
// when points to user-allocated data, the pointer is NULL
int* refcount;
int rows;
int cols;
int c;
};
enum ImreadModes
{
IMREAD_UNCHANGED = -1,
IMREAD_GRAYSCALE = 0,
IMREAD_COLOR = 1
};
Mat imread(const std::string& path, int flags = IMREAD_COLOR);
enum ImwriteFlags
{
IMWRITE_JPEG_QUALITY = 1
};
bool imwrite(const std::string& path, const Mat& m, const std::vector<int>& params = std::vector<int>());
} // namespace cv
#endif // IMREADWRITE_H
...@@ -30,6 +30,8 @@ ...@@ -30,6 +30,8 @@
#if defined(USE_NCNN_SIMPLEOCV) #if defined(USE_NCNN_SIMPLEOCV)
#include "simpleocv.h" #include "simpleocv.h"
#elif defined(USE_LOCAL_IMREADWRITE)
#include "imreadwrite.h"
#else #else
#include <opencv2/core/core.hpp> #include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp> #include <opencv2/highgui/highgui.hpp>
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册