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| from setuptools import setup, find_packages | |
| setup( | |
| name='denseav', | |
| version='0.1.0', | |
| packages=find_packages(), | |
| install_requires=[ | |
| 'torch', | |
| 'kornia', | |
| 'omegaconf', | |
| 'pytorch-lightning', | |
| 'torchvision', | |
| 'tqdm', | |
| 'torchmetrics', | |
| 'scikit-learn', | |
| 'numpy', | |
| 'matplotlib', | |
| 'timm==0.4.12', | |
| 'moviepy', | |
| 'hydra-core', | |
| 'peft==0.5.0', | |
| 'av', | |
| 'audioread' | |
| ], | |
| author='Mark Hamilton', | |
| author_email='markth@mit.edu', | |
| description='Offical code for the CVPR 2024 Paper: Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language', | |
| long_description=open('README.md').read(), | |
| long_description_content_type='text/markdown', | |
| url='https://github.com/mhamilton723/DenseAV', | |
| classifiers=[ | |
| 'Programming Language :: Python :: 3', | |
| 'License :: OSI Approved :: MIT License', | |
| 'Operating System :: OS Independent', | |
| ], | |
| python_requires='>=3.6' | |
| ) | |