Color Analysis of Singapore Shophouses

Getting Started

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.8 or higher
• Pip or Conda for managing software packages

Installation

Clone the repository to your local machine:

git clone https://github.com/your-username/your-repository.git
cd your-repository

Install the required packages

pip install -r requirements.txt

Dataset Acquisition

To obtain the datasets used in this project, please visit the following link:

Download Dataset

The datasets include:

1. Ten pairs of shophouse photos taken before and after 1989
2. Three groups of GSV images featuring three historical styles
3. 3103 GSV images distinguished by three districts and 80 streets
4. The spatial distribution data of the core areas demarcated by the URA
5. Data on types of ethnic languages displayed on street billboards

Usage

You can view and run specific code modules based on different requirements.

Results

The following results are generated by the project:

Color Complexity Distribution

Color Harmony Distribution

Contribution

Contributions to enhance or expand the project are welcome. Please follow these steps:

1.Fork the repository.
2.Create a new branch (git checkout -b feature-branch).
3.Make changes and commit (git commit -am 'Add some feature').
4.Push to the branch (git push origin feature-branch).
5.Create a new Pull Request.