Houdini中利用Python自动生成大型城市实例制作视频教程 PLURALSIGHT PROCEDURAL CI... 21 / 169

显示全部楼层 · 2017-8-30 12:30:27

本教程是由Pluralsight机构出品的Houdini中利用Python自动生成大型城市实例制作视频教程，时长：4小时55分，大小：1.4 GB，MP4高清视频格式，附工程源文件，教程使用软件：Houdini，作者：Timothy Stam，共60个章节，语言：英语。

Houdini 是一个特效方面非常强大的软件。许多电影特效都是由它完成：《指环王》中“甘道夫”放的那些“魔法礼花”，还有“水马”冲垮“戒灵”的场面，后天中的龙卷风等等，a52的汽车广告，反正只要是涉及DD公司制作的好莱坞一线大片，几乎都会有Houdini参与和应用。
Houdini不光只适用于视觉特效的制作，随着HOUDINI适用于各种平台，并且出现了很多的HOUDINI培训教学，HOUDINI开始进入了动态图像设计领域。因为其自身的流程化特性，加上其强大的动力学系统，让HOUDINI在数据可视化方面占有一席重要的地位，让图形设计师能够通过它表达自己的观点。

PluralSight软件开发在线教育平台是美国的一家面向软件开发者的在线教育课程服务商，Pluralsight成立于2004年；专注在线下开班式的服务，直到2008年才转向在线教育。目前Pluralsight在全球100个国家服务超过20万个用户，提供超过400个在线课程。除了个人用户外，Pluralsight还提供为企业的培训服务。Pluralsight提供的课程类型包括:C#、jQuery、iOS与Android、Java、 Ruby以及包括设计、社会化媒体、NoSQL、商业智能和Salesforce等。在收费方面，Pluralsight会收取用户每月29美元，以获取其大量关于教程的视频、文章、以及其他资料等。此外，还有一项每月49美元的服务，即可以通过线下课程接受培训

PLURALSIGHT PROCEDURAL CITIES WITH HOUDINI AND PYTHON
With expectations in VFX ever increasing, everything needs to be bigger, better, and faster than ever before. Huge environments are no exception to this trend. In this course, Procedural Cities with Houdini and Python, you will learn how to tackle the problem of generating vast CG cities, making use of Python and various Houdini techniques, while maintaining artist control every step of the way. First, you will be introduced to Python itself, and where and how it can be used in Houdini. Next, you will learn how to populate a city plan with buildings of various types, block by block, and how to automate this using Python. Finally, Python is again used to do the heavy lifting on the skyline, building a tool that ensures artist control over the height of buildings. You will use Python to import files from disk, read from and write to files, keep track of what the set-up is doing, build node networks automatically and to develop the technology required to make this city generator work internally. By the end of this course, you will output a vast, automatically generated CG city, instanced upon a point cloud containing all the necessary attributes. With this knowledge, you can go big while keeping your memory footprint as small as possible.