I wanted to convert an image into patches of patch size 11.11 and save the patches into a folder 1 Comment. Show Hide all comments. Hello Matlab Analyst! How to save these small blocks images (patches) to a folder? When I use imwrite command, it replaces the new patches with old. For example: when i get 20 patches from one image. You should only need to loop twice. One loop is redundant. There are probably quicker methods that I don't have time to think about so someone else will likely suggest them, but instead of your outer k loop just keep a counter that you initialise and increment within your inner loop to give you your k index into the ImagePatches. B = blockproc(A,m n,fun) processes the image A by applying the function fun to each distinct block of size m n and concatenating the results into the output matrix, B. Example B = blockproc( srcfilename, m n, fun ) processes the image with file name srcfilename, reading and processing one block at.

Maplestory legion crit dmg ied or boss dmg. Always thought that it is probably the best to go for 15 boxes Main Stat and 15 boxes ATT on Maple Union, before throwing the rest in Boss DMG / crit DMG etc but I'm just wondering if there is anything else I can do to better improve my damage against CRA bosses. I'm only at 78% IED and Boss, so CRA is a challenge for me. Crit Dmg vs Boss Dmg. Can think of Crit Damage in terms of extra skill damage. If, say, your main bossing skill hits 200% per line then 20% Crit Damage from Legion effectively gives you 200. 0.2 = 40% extra skill damage per line. More posts from the Maplestory community. Continue browsing in r/Maplestory. Yea I definitely need to work on links and legion. I need to figure out how to upgrade nodes. Bruh that +1 att speed is so hard to get. The one thing I'm stuck on is how to get extra boss damage. I feel my ignore defense is pretty good for the time being since fully buffed it's at 89%. I currently have 81% IED according to my stat window. I only have 31% Boss Damage from my hyper stats, and none on any of my items. Is boss damage IED? Or should I be more focused on getting 90%+ IED for bosses like Hmag/Hellux/CRA? In my graphs you would see the comparison of 30% Boss Dmg vs 9% Atk and 40% Boss Dmg vs%12 Atk, the more negative (blue) a certain point is the more%Boss Dmg would increase your range against bosses, while the more postive (yellow) a certain point is the more%Atk would increase your range against bosses.%Stat vs%Crit Damage (Gloves).

Example — Defining a Cube

A cube is defined by eight vertices that form six sides. This illustration shows the x-, y-, and z-coordinates of the vertices defining a cube in which the sides are one unit in length.

If you specify the x-, y-, and z-coordinate arguments as vectors, they render as a single polygon with points connected in sequence. If the arguments are matrices, MATLAB^® draws one polygon per column, producing a single patch with multiple faces. These faces need not be connected and can be self-intersecting.

Alternatively, you can specify the coordinates of each unique vertex and the order in which to connect them to form the faces. The examples in this section illustrate both techniques.

Specifying X, Y, and Z Coordinates

Each of the six faces has four vertices. Because you do not need to close each polygon (i.e., the first and last vertices do not need to be the same), you can define this cube using a 4-by-6 matrix for each of the x-, y-, and z-coordinates.

Each column of the matrices specifies a different face. While there are only eight vertices, you must specify 24 vertices to define all six faces. Since each face shares vertices with four other faces, you can define the patch more efficiently by defining each vertex only once and then specifying the order in which to connect these vertices to form each face. The patch Vertices and Faces properties define patches in just this way.

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Specifying Faces and Vertices

These matrices specify the cube usingVertices and Faces.

Using the vertices/faces technique can save a considerable amount of computer memory when patches contain a large number of faces. This technique requires the formal patch function syntax, which entails assigning values to the Vertices and Faces properties explicitly. For example,

Because the high-level syntax does not automatically assign face or edge colors, you must set the appropriate properties to produce patches with colors other than the default white face color and black edge color.

Flat Face Color

Flat face color is the result of specifying one color per face. For example, using the vertices/faces technique and the FaceVertexCData property to define color, this statement specifies one color per face and sets the FaceColor property to flat.

Adjust the axes:

Because truecolor specified with the FaceVertexCData property has the same format as a MATLAB colormap (i.e., an n-by-3 array of RGB values), this example uses the hsv colormap to generate the six colors required for flat shading.

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To map face colors to the current colormap, assign an n-by-1 array to the FaceVertexCData property:

Adjust the axes:

Interpolated Face Color

Interpolated face color means the vertex colors of each face define a transition of color from one vertex to the next. To interpolate the colors between vertices, you must specify a color for each vertex and set the FaceColor property to interp.

Adjust the axes:

produces a cube with each face colored by interpolating the vertex colors.

To specify the same coloring using the x, y, z, c technique, c must be an m-by-n-by-3 array, where the dimensions of x, y, and z are m-by-n.

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This diagram shows the correspondence between the FaceVertexCData and CData properties.

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How Patch Data Relates to a Colormap discusses coloring techniques in more detail.