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EquimercConverter

Convert images to equirectangular and mercator projections

Install / Use

/learn @swift502/EquimercConverter
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Equirectangular-Mercator Projection Converter

Bi-directional image projection converter. Converts images between equirectangular and mercator projections.

Features a fast GPU and a slower CPU conversion implementations:

  • The GPU version uses moderngl to transform the image using shaders and then saves it using Pillow
  • The CPU version simply uses Pillow to modify every pixel individually

This project therefore contains working examples of Python and GLSL conversion code. Feel free to borrow them and translate them to your language/project.

Setup

  1. Install Python 3.11+
  2. Clone the repository
  3. Install requirements
pip install -r requirements.txt

Usage

CLI

python convert.py path/to/input_image [--to_equirectangular] [--to_mercator] [--nearest] [--cpu]

| Parameter | | | --- | --- | | ‑‑to_equirectangular | Convert the image to the Equirectangular projection. | | --to_mercator | Convert the image to the Mercator projection. | | --nearest | Use nearest sampling for stretching that will occur due to change of aspect ratio. Only used by GPU rendering. | | --cpu | Use the CPU rendering implementation. Much slower and doesn't support linear sampling. |

Examples

# Merc to equi
python convert.py merc.png --to_equirectangular

# Equi to merc
python convert.py equi.png --to_mercator

Python API

You can use the Converter class directly in Python. Check out the test script to see how to run conversions from code.

Size limits

Input images have the following size limits:

  • GPU (Default)
    • To Mercator: 32768 x 16384
    • To Equirectangular: 16384 x 32768
    • Exceeding these limits will result in Error: the framebuffer is not complete (INCOMPLETE_ATTACHMENT)
  • CPU (--cpu)
    • CPU conversion should allow much larger images, but the process is still limited by available system memory. Converting anything above 16384 x 16384 is likely to consume huge amounts of memory. There's also limits imposed by the Pillow library. https://pillow.readthedocs.io/en/stable/reference/limits.html

Python package

If anyone wants to transform this into a functional, publishable package, feel free to fork the project and publish it. I don't have enough experience doing that and can't imagine many people will use this thing to make the extra effort worthwhile.

Image sources

  • https://en.wikipedia.org/wiki/File:Equirectangular-projection.jpg
  • https://en.wikipedia.org/wiki/File:Mercator-projection.jpg

Related Skills

View on GitHub
GitHub Stars18
CategoryDevelopment
Updated4mo ago
Forks1

Languages

Python

Security Score

92/100

Audited on Nov 13, 2025

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