Project URL
https://pypi.org/project/nvidia-vfx/
Does this project already exist?
New Limit
600 MiB
Update issue title
Which indexes
PyPI
About the project
nvidia-vfx provides Python bindings for the NVIDIA VFX SDK. It includes the VideoSuperRes effect, so you can add AI-based upscaling, denoising, and deblurring to your video pipelines entirely from Python.
Additional library files and AI model files that come with the VFX SDK are bundled in the wheel so that all dependencies are there after installation. The efforts to reduce the file size include removal of dynamic libraries that are not required for the VideoSuperRes feature. However, the required dependencies make the package size > 550 MB.
No example data are bundled in the wheel.
Reasons for the request
We're making this request to enable the initial release of the nvidia-vfx python package.
Package size may increase when adding more features, but we will work towards a modularized approach requiring separate installation of features in an upcoming release, so that all dependencies are not required in the core package.
Code of Conduct
Project URL
https://pypi.org/project/nvidia-vfx/
Does this project already exist?
New Limit
600 MiB
Update issue title
Which indexes
PyPI
About the project
nvidia-vfx provides Python bindings for the NVIDIA VFX SDK. It includes the VideoSuperRes effect, so you can add AI-based upscaling, denoising, and deblurring to your video pipelines entirely from Python.
Additional library files and AI model files that come with the VFX SDK are bundled in the wheel so that all dependencies are there after installation. The efforts to reduce the file size include removal of dynamic libraries that are not required for the VideoSuperRes feature. However, the required dependencies make the package size > 550 MB.
No example data are bundled in the wheel.
Reasons for the request
We're making this request to enable the initial release of the nvidia-vfx python package.
Package size may increase when adding more features, but we will work towards a modularized approach requiring separate installation of features in an upcoming release, so that all dependencies are not required in the core package.
Code of Conduct