在Unity 2018.2 版本正式启用了高清渲染管线,shader可视化编程. 现在我们就尝尝鲜,来实现了个物体边缘发光的shader效果. 准备 点击Windos->Package Manger 打开包管理器: 依次安装如下渲染器: 场景布置 创建场景设置 创建一个圆柱体和材质球,并将材质球给与圆柱体 创建一个Shader Graph(PBR) 打开shader 利用可视化蓝图 编写发光Shader 为材质球选择我们创建的shader 我们可以通过color调节发光颜色 通过power 调节

TimeWall is a graph databases github It be used to apply mathematic model and social network with graph algorithms and so on... Features: 1. C/S structure 2. compute in memory 3. dynamic add and remove nodes on the graph db 4. with lots of algorithms

Source: Connected Brain Figure above: Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems.[J]. Nature Reviews Neuroscience, 2009, 10(3):186-198. Graph measures A graph G consisting of a set of

Destroying The Graph Time Limit: 2000MS   Memory Limit: 65536K Total Submissions: 8198   Accepted: 2635   Special Judge Description Alice and Bob play the following game. First, Alice draws some directed graph with N vertices and M arcs. After that B

Given n nodes labeled from 0 to n - 1 and a list of undirected edges (each edge is a pair of nodes), write a function to find the number of connected components in an undirected graph. Example 1: 0          3 |          | 1 --- 2    4 Given n = 5 and

Given n nodes labeled from 0 to n - 1 and a list of undirected edges (each edge is a pair of nodes), write a function to check whether these edges make up a valid tree. For example: Given n = 5 and edges = [[0, 1], [0, 2], [0, 3], [1, 4]], return tru

Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors. OJ's undirected graph serialization: Nodes are labeled uniquely. We use # as a separator for each node, and , as a separator for node label and each neigh

Influence maximization on big social graph Fanju PPT链接: social influence booming of online social network 一, Application:viral marketing 1, identify influence customers: seeds. 2, convince them to adopter product. other application: Rumor monitoring

关于zabbix的API见,zabbixAPI 1item批量添加 我是根据我这边的具体情况来做的,本来想在模板里面添加item,但是看了看API不支持,只是支持在host里面添加,所以我先在一个host里面添加,然后在将item全部移动到模板里. 具体步骤就不说了,直接上代码: 为了快速完成,代码写的有点乱,也没怎么处理异常,算是第一版吧,有时间在优化  1 #!/usr/bin/env python #-*- coding: utf- -*- import json import sys i

Graph Structure Graph Definition theano's symbolic mathematical computation, which is composed of: Apply node: the application of an operator to some variable. Variable node: symbolic varibles. Op node: mathematical operation like: +,-,*,\,sqrt,sum,t

作者:Vamei 出处:http://www.cnblogs.com/vamei 欢迎转载,也请保留这段声明.谢谢! 图(graph)是一种比较松散的数据结构.它有一些节点(vertice),在某些节点之间,由边(edge)相连.节点的概念在树中也出现过,我们通常在节点中储存数据.边表示两个节点之间的存在关系.在树中,我们用边来表示子节点和父节点的归属关系.树是一种特殊的图,但限制性更强一些. 这样的一种数据结构是很常见的.比如计算机网络,就是由许多节点(计算机或者路由器)以及节点之间的边(网线

题目: Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors. OJ's undirected graph serialization: Nodes are labeled uniquely. We use # as a separator for each node, and , as a separator for node label and each n

转载:http://duanple.blog.163.com/blog/static/70971767201281610126277/   作者:Grzegorz Malewicz, Matthew H. Austern .etc.Google Inc 2010-6 原文:http://people.apache.org/~edwardyoon/documents/pregel.pdf 译者:phylips@bmy 2012-09-14 译文:http://duanple.blog.163.co

<graph string='Sale Paid Grapg' type="pivot"> <field name='section_id' type="row"/> <field name='date' type="col"/> <field name='paid_amount' type="measure"/> </graph> graph type 指定默认图表

Graph cuts是一种十分有用和流行的能量优化算法,在计算机视觉领域普遍应用于前背景分割(Image segmentation).立体视觉(stereo vision).抠图(Image matting)等. 此类方法把图像分割问题与图的最小割(min cut)问题相关联.首先用一个无向图G=<V,E>表示要分割的图像,V和E分别是顶点(vertex)和边(edge)的集合.此处的Graph和普通的Graph稍有不同.普通的图由顶点和边构成,如果边的有方向的,这样的图被则称为有向图,否则为

一些知识点的初步理解_8(Graph Cuts,ing...) Graph cuts是一种十分有用和流行的能量优化算法,在计算机视觉领域普遍应用于前背景分割(Image segmentation).立体视觉(stereo vision).抠图(Image matting)等.Graph Cuts理论最早是出现在流网络优化领域的,比如说水管网络,通信传输网络,城市车流网络等.此时的Graph Cuts算法是用来确定网络流的最小分割,即寻找一个容量最小的边的集合,去掉这个集合中的所有边就可以阻挡这个

My name is Charles Humble and I am here at QCon New York 2014 with Ian Robinson. Ian, can you introduce yourself to the InfoQ community? Hello, I am Ian Robinson, I am engineer at Neo Technology, I am based in London and I work on the Neo4j graph dat

Learning CNNs for Arbitrary Graphs (Graph-like data): Learning Convolutional Neural Networks for Graphs Graph canonization: https://en.wikipedia.org/wiki/Graph_canonization Graph isomorphism https://en.wikipedia.org/wiki/Graph_isomorphism Bijection,

2014年8月1日,经过很长时间的上网查阅资料,走了很多弯路,终于可以成功使用Graph工具仿真波形了,虽然这个的确很简单,但是经过自己摸索出来的,兴奋之情难于言表. 明天就是七夕了,刚和女朋友分手的我,有点小郁闷.不发牢骚了,最后一句,祝天下所有有缘人都是失散多年的兄妹. /***************************我是华丽的分割线君*******************************/ 1.连上仿真器,运行代码,在需要观察的地方打上断点.(这个就不细说了) 2.打开Gr

// poj 1737 Connected Graph // // 题目大意: // // 带标号的连通分量计数 // // 解题思路: // // 设f(n)为连通图的数量,g(n)为非连通图的数量,h(n)为所有的 // 图的数量,h(n) = 2 ^(n * (n - 1) / 2); // f(n) + g[n] = h(n). // // 考虑标号为1在哪个连通分量内,设连通分量内有k个点,则问题为 // 在n-1个点中选择k-1个点的方法数 C(n-1,k-1),此时1所在的连通图数

简介 上一篇笔记:Tensorflow学习笔记1:Get Started 我们谈到Tensorflow是基于图(Graph)的计算系统.而图的节点则是由操作(Operation)来构成的,而图的各个节点之间则是由张量(Tensor)作为边来连接在一起的.所以Tensorflow的计算过程就是一个Tensor流图.Tensorflow的图则是必须在一个Session中来计算.这篇笔记来大致介绍一下Session.Graph.Operation和Tensor. Session Session提供了O