Feasibility of Using a Python Image Super Resolution Library in My Rust App

This page summarizes the projects mentioned and recommended in the original post on /r/rust

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • image-super-resolution

    🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

  • I'm building a photo editing app in rust and though it might be nice to have an AI super resolution feature. A user could click a button to increase the images size by 2x, 4x, etc. The Python library Idealo seems great for this. I've watched this tutorial on embedding python in rust with inline_python, and I'm wondering, are things really that simple? You could just call and use the python library in your rust code like you would normal python code? I'm assuming that their needs to be some conversion from the python types to rust types, but for a simple image this doesn't seem too complex. Does anyone have experience with embedding python in their rust app?

  • rust-numpy

    PyO3-based Rust bindings of the NumPy C-API

  • This example maybe helpful.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • rust

    Rust language bindings for TensorFlow (by tensorflow)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts