Image Watch插件学习笔记

VS插件，可以方便调试，观察图像！！！
http://research.microsoft.com/en-us/um/redmond/groups/ivm/imagewatchhelp/imagewatchhelp.htm#_Toc351981445

local模式和watch模式
local模式：只读模式 the Image List (B) gets automatically populated with all
image-valued variables that are on the current stack frame.
 Watch 模式,可以添加  image items are added manually by the user, e.g. by typing in image-valued expressions
可以移动和放大
可以编辑， Expressions can be cut (Ctrl+X, Ctrl+Delete), copied (Ctrl+C, Ctrl+Insert), and pasted (Ctrl+V, Shift+Insert),



Image watch支持的通道类型：

·         INT8, UINT8 ·         INT16, UINT16 ·         INT32 ·         FLOAT16 ·         FLOAT32 ·         FLOAT64

也支持特殊的YUV格式：

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)

Image Watch还支持一系列简单的操作符，以@开始
一定是在watch模式下！

@band(img, number): extract channel number  (UINT32) from img.   提取某一通道 @thresh(img, threshold): threshold pixels in img: return 1 if >= threshold (FLOAT32) and 0 otherwise 阈值化操作 @clamp(img, min, max): clamp pixel values in img to lie between min (FLOAT32) and max (FLOAT32).限制图像的范围在（min，max）之间  @abs(img): take absolute value of pixels in img 求绝对值 @scale(img, factor): scale pixel values in img by factor (FLOAT32) 对图像进行缩放 @norm8(img): scale pixels values in img by 1/255 所有图像像素乘以1/255缩放 @norm16(img): scale pixels values in img by 1/65535 所有图像像素乘以1/65535缩放 @fliph(img), @flipv(img), @flipd(img): flip img horizontally, vertically, and diagonally (matrix transpose), respectively. 水平(h)、垂直(v)或翻转或者图像转置（d） @rot90(img), @rot180(img), @rot270(img): rotate img by 90, 180, 270 degrees clockwise, respectively.  图像旋转 @diff(img0, img1): return pixel-wise difference: img0 – img1 基于像素的差分 @file(path): load image from path (string). Example: @file(“d:\temp\debug.png”)  加载图像 @mem(address, type, channels, width, height, stride): interpret raw memory as pixels, starting at address (UINT64), (UINT32). Example: @mem(myimg.data, UINT8, 1, 320, 240, 320) @mem(0x00000000003d1050,UINT8, 3, 256, 256, 768 ); 将指定地址的内存数据转为图像像素信息显示