📌 This repository originated from here.

🔹 The content is identical to the original repository.

This is a baseline code for SNU Computer Graphics (4190.410). This code uses Pyglet which is a cross-platform windowing library under Python 3.8+. Supported platforms are:

• Windows 7 or later
• Mac OS X 10.3 or later
• Linux, with the following libraries (most recent distributions will have these in a default installation):

If you haven't installed an IDE, download VSCode or PyCharm

• Download VSCode
• Download PyCharm

If Conda is not installed, download Miniconda (recommended) or Anaconda:

• Download Miniconda
• Download Anaconda

After installation, verify Conda is installed correctly:

conda --version

git clone [email protected]:SNU-IntelligentMotionLab/SNU_ComputerGraphics_.git

If you don't have Git,

1. Click "Code" → "Download ZIP"
2. Extract the ZIP file and open the folder.

Once inside the project folder, create a Conda environment using environment.yml:

conda env create -f environment.yml

Then, activate the environment:

conda activate snu_graphics

If you have installed additional packages, be sure to update environment.yml manually.

# environment.yml
name: snu_graphics
channels:
  # - conda-forge -> you can install pyglet from conda-forge
  - defaults
dependencies:
  - python>=3.8
  - pip
  # Install Pyglet here if you encounter any issues
  # - pyglet
  # You can add more Conda packages here  
  # - numpy==1.23.1
  # - scipy
  - pip:
      - pyglet>=2.1.0
      # - another-pip-package  

You can execute the code easily by:

python3 main.py

You can then see the result, as shown in the image below.