da2la/emo4streetscape

An integrated method to optimize the design of streetscape based on Machine Learning and Evolutionary Multi-objective Optimization Algorithm

EMO4Streetscape

Readme: English | 中文

Construction in process...

An integrated method to optimize the design of streetscape based on Machine Learning and Evolutionary Multi-objective Optimization Algorithm.

Developed by: Jeff H ([email protected]) This repository is based on my dissertation submitted for Master of Landscape Architecture (MLA) at National University of Singapore (NUS).

一套基于机器学习和演进式多目标优化算法的、用来对街景设计进行优化的框架，包含一系列工具、算法和概念。

本套框架由 Jeff H 开发。它是我在新加坡国立大学 景观硕士的毕业论文中设计的框架。

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English Version

Environment

• Python 3.6+
• Essential library:
  • Numpy
  • Pandas
  • Matplotlib
  • Tensorflow
  • Deeplab2 (https://github.com/google-research/deeplab2)
  • Geatpy (http://geatpy.com | https://github.com/geatpy-dev/geatpy)
  • Sci-kit learn

Structure of Repository

Change Log

Change Log

To-Do List

• Initialization tools of GIS data

• Initialization tools of GSV data list for obtaining the images

License

• As a non-CS researcher, I don't have a lot of knowledge about licensing and copyright. I will arrange this part after checking and studying.
• In addition, since some steps in this framework use other open source code libraries, algorithms, tools, etc., I need to follow their licenses. I will complete this part after I have researched and clarified it.

Remarks

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中文说明

运行环境

• Python 3.6+
• Essential library:
  • Numpy
  • Pandas
  • Matplotlib
  • Tensorflow
  • Deeplab2 (https://github.com/google-research/deeplab2)
  • Geatpy (http://geatpy.com | https://github.com/geatpy-dev/geatpy)
  • Sci-kit learn

目录结构

更新日志

更新日志

待办清单

• GIS数据初始化工具（供本研究分析用）

• GSV数据初始化工具和处理器（供GSV图像获取用）

许可

• 作为非计算机专业的研究人员，我并不太了解许可证、著作权方面的信息。待我调查和学习后再安排这部分内容。
• 此外，由于本框架中的部分步骤使用了其他开源的代码库、算法、工具等，所以我需要遵循它们的许可。待我研究清楚后再完善这部分。

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