ArtLine:基于深度学习的项目,用于创建线条艺术肖像
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circle-packing:Circle Packing算法
2021-08-30 10:03:28 510KB processing algorithm creative-coding sketch
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使用 Three.js 和 TensorFlow.js 进行头部跟踪的交互式数码相框 该项目使用和 ,是一个交互式数字艺术框架的原型,使用头部跟踪来创建头部耦合透视效果。 在可以看到这种效果的一个著名用法。 我想尝试制作交互式艺术作品,所以这个项目是一个可以在 iPad 上全屏运行的 PWA。 :warning: 这是一个作为副项目制作的原型,因此代码不是生产就绪的。 它的性能没有优化,所以第一次加载可能需要一段时间。 我在 Macbook Pro 和 iPad Pro 上开发并测试了它,因此如果您在另一台设备上尝试它并且它不起作用或看起来响应速度不快,我不打算修复它。 考虑到这一点,这里的适用于鼠标移动和头部跟踪。 :warning: 演示 如果您想阅读更多相关信息,请查看! 本地开发 克隆这个 repo 运行npm install安装依赖 运行npm start启动本地服务器 你的浏览器应该会自动打
2021-08-03 18:04:43 40.72MB javascript threejs machine-learning creative-coding
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processing-creative coding and computational art 的英文网页版,可以通过谷歌浏览器自动翻译来变成中文看
2021-07-20 15:20:49 54.2MB 书籍 processing
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Digital technology has not only revolutionized the way designers work, but also the kinds of designs they produce. The development of the computer as a design environment has encouraged a new breed of digital designer; keen to explore the unique creative potential of the computer as an input/output device. Data-driven Graphic Design introduces the creative potential of computational data and how it can be used to inform and create everything from typography, print and moving graphics to interactive design and physical installations. Using code as a creative environment allows designers to step outside the boundaries of commercial software tools, and create a set of unique, digitally informed pieces of work. The use of code offers a new way of thinking about and creating design for the digital environment. Each chapter outlines key concepts and techniques, before exploring a range of innovative projects through case studies and interviews with the artists and designers who created them. These provide an inspirational, real-world context for every technique. Finally each chapter concludes with a Code section, guiding you through the process of experimenting with each technique yourself (with sample projects and code examples using the popular Processing language supplied online to get you started).
2020-01-29 03:10:52 34MB 数据驱动 data-driven 可视化
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