image watch自定义
安装image watch模块除了可以查看OpenCV，也可以查看自定义的图像格式。
可以从 C:\Users\USERNAME\AppData\Local\Microsoft\VisualStudio\17.0_6e3f40f8\Extensions\a14eewtt.z12 文件夹看到OpenCV的配置文件 ImageWatchOpenCV.natvis 进行对照参考
<?xml version="1.0" encoding="utf-8"?>
<AutoVisualizer xmlns="http://schemas.microsoft.com/vstudio/debugger/natvis/2010">
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1" MenuName="Add to Image Watch"/>
<!-- OpenCV cv::Mat -->
<Type Name="cv::Mat">
<AlternativeType Name="cv::Mat_<*>"/>
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1" />
</Type>
<Type Name="cv::Mat">
<AlternativeType Name="cv::Mat_<*>"/>
<DisplayString Condition="(flags&7)==0">{{UINT8, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==1">{{INT8, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==2">{{UINT16, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==3">{{INT16, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==4">{{INT32, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==5">{{FLOAT32, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==6">{{FLOAT64, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<DisplayString Condition="(flags&7)==7">{{USER, {((flags&0xfff)>>3)+1} x {cols} x {rows}}}</DisplayString>
<Expand>
<Synthetic Name="[type]" Condition="(flags&7)==0">
<DisplayString>UINT8</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==1">
<DisplayString>INT8</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==2">
<DisplayString>UINT16</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==3">
<DisplayString>INT16</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==4">
<DisplayString>INT32</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==5">
<DisplayString>FLOAT32</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition="(flags&7)==6">
<DisplayString>FLOAT64</DisplayString>
</Synthetic>
<Item Name="[channels]">((flags&0xfff)>>3)+1</Item>
<Item Name="[width]">cols</Item>
<Item Name="[height]">rows</Item>
<Item Name="[data]">data</Item>
<Item Name="[stride]">step.p[0]</Item>
</Expand>
</Type>
</AutoVisualizer>
然后结合官方示例文档：
struct My8BitRGBImage
{
unsigned int ncols;
unsigned int nrows;
unsigned char* data;
};
--------------------
<?xml version="1.0" encoding="utf-8"?>
<AutoVisualizer xmlns="http://schemas.microsoft.com/vstudio/debugger/natvis/2010">
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1"
MenuName="Add to Image Watch"/>
<Type Name="My8BitRGBImage">
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1" />
</Type>
<Type Name="My8BitRGBImage">
<Expand>
<Synthetic Name="[type]">
<DisplayString>UINT8</DisplayString>
</Synthetic>
<Synthetic Name="[channels]">
<DisplayString>RGB</DisplayString>
</Synthetic>
<Item Name="[width]">ncols</Item>
<Item Name="[height]">nrows</Item>
<Item Name="[data]">data</Item>
<Item Name="[stride]">ncols*3</Item>
</Expand>
</Type>
</AutoVisualizer>
所以Type Name设置为class类名，图像内部需要设置 type|channels|width|height|data|stride等参数。
如果要对模板类进行处理（模版类的中括号<(<) >(*>) &（&）），需要针对类型去做type区分， 这里的Condition=就相当于 switch-case,type支持的数据类型从官方文档可以查到：
image Watch supports these channel types:
INT8, UINT8
INT16, UINT16
INT32
FLOAT16
FLOAT32
FLOAT64
defines the data layout，channels:
RG, UV
RGB, BGR, YUV
RGBA, BGRA
1 channel image: grayscale or pseudo color depending on the current viewer setting.
2 channel image: red/green
3 channel image: B, G, R
4 channel image: B, G, R, Alpha, or ignore Alpha depending on current viewer setting.
5 or more channels: map first three channels to B, G, R, and ignore remaining channels
A number of special YUV formats are supported as well. In this case, the format string also defines the data layout. For a detailed description of YUV formats, see YUV pixel formats.
NV12 (two planes: one Y plane, one packed UV plane, subsampled by 2 in both dimensions)
YV12 (three planes: one Y plane, one packed U and V plane each, both subsampled by 2 in both dimensions)
IYUV (same as YV12 but with U and V planes switched)
YUY2 (single plane, interleaved two-channel format: Y in the first channel; U and V subsampled by 2 horizontally and stored alternating in the second channel)
官方示例：
template <typename T>
struct MyGenericImage
{
unsigned int ncols;
unsigned int nrows;
unsigned int nchannels;
T* data;
};
------------------------
<?xml version="1.0" encoding="utf-8"?>
<AutoVisualizer xmlns="http://schemas.microsoft.com/vstudio/debugger/natvis/2010">
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1"
MenuName="Add to Image Watch"/>
<Type Name="MyGenericImage<*>">
<UIVisualizer ServiceId="{A452AFEA-3DF6-46BB-9177-C0B08F318025}" Id="1" />
</Type>
<Type Name="MyGenericImage<*>">
<Expand>
<Synthetic Name="[type]" Condition='strcmp("unsigned char", "$T1") == 0'>
<DisplayString>UINT8</DisplayString>
</Synthetic>
<Synthetic Name="[type]" Condition='strcmp("float", "$T1") == 0'>
<DisplayString>FLOAT32</DisplayString>
</Synthetic>
<Item Name="[channels]">nchannels</Item>
<Item Name="[width]">ncols</Item>
<Item Name="[height]">nrows</Item>
<Item Name="[data]">data</Item>
<Item Name="[stride]">ncols*nchannels*sizeof($T1)</Item>
</Expand>
</Type>
</AutoVisualizer>
Note the “*” wildcard syntax, the Condition attribute, and the $T1 reference to the template argument.
Intrinsic functions(strcmp,sizeof等): https://learn.microsoft.com/en-us/visualstudio/debugger/expressions-in-the-debugger?view=vs-2022
编写好.natvis 并保存在
C:\Users\%USER_NAME%\Documents\Visual Studio 2022\Visualizers
安装位置应该也是可以的：
c:\users\%USER_NAME%\appdata\local\microsoft\visualstudio\17.0_6e3f40f8\extensions\a14eewtt.z12
%INSTALL_PATH%\VS2022\VS2022\Common7\Packages\Debugger\Visualizers
C:\Users\%USER_NAME%\Documents\Visual Studio 2022\Visualizers
即可支持自定义图像格式。
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