pyproject.toml

[tool.poetry]
name = "foggy-cyclegan"
version = "0.1.0"
description = "Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to synthesize fog on clear images."
authors = ["Ghais Zaher <ghaiszaher@gmail.com>"]
license = "GPL-3.0-only"
readme = "README.md"
package-mode = false

[tool.poetry.dependencies]
python = "^3.10"
tensorflow = "^2.17.0"
tensorflow-datasets = "^4.9.6"
matplotlib = "^3.9.2"
jupyter = "^1.0.0"
numpy = "^1.20.0"
pydot = "^3.0.1"
graphviz = "^0.20.3"
ipython = "^8.26.0"
pandas = "^2.2.2"
gdown = "^5.2.0"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"