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[tool.poetry] | |
name = "polos" | |
version = "0.1.3" | |
authors = ["Yuiga Wada <[email protected]>"] | |
description = "[CVPR24] Polos: Multimodal Metric Learning from Human Feedback for Image Captioning" | |
license = "BSD-3-Clause-Clear" | |
readme = "README.md" | |
classifiers = [ | |
'Development Status :: 4 - Beta', | |
'Environment :: Console', | |
'Intended Audience :: Science/Research', | |
'Topic :: Scientific/Engineering :: Artificial Intelligence', | |
] | |
packages = [ | |
{include = "polos"}, | |
] | |
include = [ | |
"LICENSE", | |
"pyproject.toml", | |
"CONTRIBUTING.md" | |
] | |
[tool.poetry.scripts] | |
polos = 'polos.cli:polos' | |
[tool.poetry.dependencies] | |
python = "3.9.2" | |
PyYAML = "5.3.*" | |
#numpy = "<=1.19" | |
protobuf="3.20.0" | |
pandas = "^1.0.0" | |
#fairseq = "0.9.0" | |
transformers = "4.*" | |
pytorch-lightning = "<=1.3" | |
pytorch-nlp = "0.5.0" | |
fsspec = "0.8.7" | |
psycopg2-binary = "^2.9.6" | |
torch = "^2.1.0" | |
click = "^8.1.7" | |
ftfy = "^6.1.1" | |
regex = "^2023.10.3" | |
wandb = "^0.15.12" | |
scikit-learn = "^1.3.2" | |
fairseq = "^0.12.2" | |
matplotlib = "^3.8.1" | |
pycocotools = "^2.0.7" | |
pycocoevalcap = "^1.2" | |
termcolor = "^2.3.0" | |
torchvision = "^0.16.0" | |
streamlit = "^1.35.0" | |
setuptools = "69.5.1" | |
[tool.poetry.dev-dependencies] | |
sphinx-markdown-tables = "0.0.15" | |
coverage = "^5.5" | |
[[tool.poetry.source]] | |
name = "torch_cu118" | |
url = "https://download.pytorch.org/whl/cu118" | |
priority = "explicit" | |
[build-system] | |
requires = ["poetry-core>=1.0.0"] | |
build-backend = "poetry.core.masonry.api" | |