snow | 易学教程

樱花飞舞

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樱花飞舞思路混合原型模式生成随机雪花: 颜色大小运动方式位置(x,y) 雪花运动向下掉落, 当雪花超出屏幕, 在页面中随机生成一个新雪花 <!DOCTYPE html> < html lang = "en" > < head > < meta charset = "UTF-8" > < title > Title </ title > < style > *{ margin : 0 ; padding : 0 ;} .snow { position : absolute; top : 0 ; left : 0 ; /*font-size: 80px; color: pink; animation: snow_rotateY 3s linear infinite;*/ animation : 3s linear infinite; } @ keyframes snow_rotate { from { transform : rotate (0deg); } to { transform : rotate (360deg); } } @ keyframes snow_rotateX { from { transform : rotateX (0deg); } to { transform : rotateX (360deg); } } @ keyframes snow

【译】Unity3D Shader 新手教程(2/6) —— 积雪Shader

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本文为翻译，附上原文链接。转载请注明出处—— polobymulberry-博客园。如果你是一个shader编程的新手，并且你想学到下面这些酷炫的技术，我觉得你可以看看这篇教程：实现一个积雪效果的shader 创建一个具有凹凸纹理的shader 为每个像素修改其对应纹理值在表面着色器中修改模型的顶点数据引论这是我们系列教程的第二部分，我们将在此部分实现些有用的技术。在学习完第一部分的所有背景知识后，我们将利用所学的知识实现一个简单的积雪效果的shader。效果如下：准备工作我们想做的其实很简单，简单介绍一下：随着Snow Level（表示积雪的程度，该值越大，积雪越深）的增大，我们将迎着下雪方向的岩石纹理区域都变成Snow Color（雪的颜色）随着Snow Level的增大，我们想将该岩石模型稍微变大一点，尤其是雪的边缘厚度要增加，这样给人真正的“积”雪效果。步骤1 – Bumped Diffuse Shader 我们创建一个新的Diffuse shader（默认新建的shader基本都是Diffuse shader），并向其中添加凹凸纹理效果（来自猫大的原话：法线贴图是凸凹贴图(Bump mapping)的一种常见应用，简单说就是在不增加模型多边形数量的前提下，通过渲染暗部和亮部的不同颜色深度，来为原来的贴图和模型增加视觉细节和真实效果

Initialize MPI cluster using Rmpi

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问题 Recently I try to make use of the department cluster to do parallel computing in R . The cluster system is manged by SGE . OpenMPI has been installed and passed the installation test. I submit my query to the cluster via qsub command. In the script, I specify the number of node I want to use via the following command. #PBS -l nodes=2:ppn=24 (two nodes with 24 threads each) Then, mpirun -np 1 R --slave -f test.R I have checked $PBS_NODEFILE afterwards. Two nodes are allocated as I wish. I

R: making cluster in doParallel / snowfall hangs

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问题 I've got two servers on a LAN with fresh installs of Centos 6.4 minimal and R 3.0.1. Both computers have doParallel, snow, and snowfall packages installed. The servers can ssh to each other fine. When I attempt to make clusters in either direction, I get a prompt for a password, but after entering the password, it just hangs there indefinately. makePSOCKcluster("192.168.1.1",user="username") How can I troubleshoot this? edit: I also tried calling makePSOCKcluster on the above-mentioned

R: making cluster in doParallel / snowfall hangs

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R parallel job hangs

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问题 I am running the snow-test.R script as written on the site: https://hpcf.umbc.edu/other-packages/how-to-run-r-programs-on-maya/ the script is run on a cluster using SLURM with the command: mpirun -np 1 R CMD BATCH --no-save --no-restore snow-test.R out.dat the R version is 3.5.1. Although the script runs and displays the result, it hangs at the end. Thus, I need to kill the process manually from the SLURM queue with scancel command. Also, when I change the R version to 3.4.4 using the same

R parallel job hangs

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Running raster::stackApply() function in parallel

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问题 I'm trying to parallelize this example. I have a bunch of rasters that I am trying to aggregate by week of the year. Here is what this looks like in series: # create a raster stack from list of GeoTiffs tifs <- list.files(path = "./inputData/", pattern = "\\.tif$", full.names = TRUE) r <- stack(tifs) # get the date from the names of the layers and extract the week indices <- format(as.Date(names(r), format = "X%Y.%m.%d"), format = "%U") indices <- as.numeric(indices) # calculate weekly means

谁在Mac OS X上监听给定的TCP端口？

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【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 在Linux上，我可以使用 netstat -pntl | grep $PORT netstat -pntl | grep $PORT 或 fuser -n tcp $PORT 找出哪个进程（PID）正在侦听指定的TCP端口。如何在Mac OS X上获得相同的信息？ #1楼在Snow Leopard（OS X 10.6.8）上，运行“ man lsof”将产生： lsof -i 4 -a （实际的手动输入是“ lsof -i 4 -a -p 1234”）先前的答案在Snow Leopard上不起作用，但是我一直尝试使用'netstat -nlp'，直到在pts的答案中看到使用'lsof'为止。 #2楼您还可以使用： sudo lsof -i -n -P | grep TCP 这适用于小牛。 #3楼 lsof -n -i | awk '{ print $1,$9; }' | sort -u 这显示谁在做什么。删除-n以查看主机名（慢一点）。 #4楼这在Mavericks（OSX 10.9.2）中有效。 sudo lsof -nP -iTCP:$PORT -sTCP:LISTEN #5楼从Snow Leopard（10.6）到Mojave（10.14）和Catalina（10,15）

Random forest bootstrap training and forest generation

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问题 I have a huge training data for random forest (dim: 47600811*9). I want to take multiple (let's say 1000) bootstrapped sample of dimension 10000*9 (taking 9000 negative class and 1000 positive class datapoints in each run) and iteratively generate trees for all of them and then combine all those trees into 1 forest. A rough idea of required code is given below. Can anbody guide me how can I generate random sample with replacement from my actual trainData and optimally generate trees for them