rust-numpy
image-super-resolution
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rust-numpy | image-super-resolution | |
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10 | 19 | |
988 | 4,459 | |
3.8% | 1.0% | |
6.7 | 0.0 | |
6 days ago | 17 days ago | |
Rust | Python | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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rust-numpy
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Numba: A High Performance Python Compiler
On the contrary, it can use and interface with numpy quite easily: https://github.com/PyO3/rust-numpy
- Carefully exploring Rust as a Python developer
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Hmm
Once I figured out the right tools, it was easy. Its just "maturin new". It automatically converts python floats and strings. Numpy arrays come through as a special Pyarray type, that you need to unwrap, but that's just one builtin function. Using pyo3, maturin and numpy, https://github.com/PyO3/rust-numpy it's fairly easy.
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Man, I love this language.
If I'm understanding this documentation correctly then you may be able to pass the numpy array directly with func(df['col'].to_numpy) which may save some conversion.
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Otherwise, though, Rust is an excellent choice. The many advantages of Rust (great package manager, memory safety, modern language features, ...) are already well documented so I won't repeat them here. Specifically for writing Python libraries, check out PyO3, maturin, and rust-numpy, which allow for seamless integration with the Python scientific computing ecosystem. Dockerizing/packaging is a non-issue, with the aforementioned libraries you can easily publish Rust libraries as pip packages or compile them from source as part of your docker build. We have several successful production deployments of Rust code at OpenAI, and I have personally found it to be a joy to work with.
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Writing Rust libraries for the Python scientific computing ecosystem
Integration with numpy uses the rust-numpy crate: Example of method that accepts numpy arrays as arguments Example of a method that returns a numpy array to Python (this performs a copy, there ought to be a way to avoid it but the current implementation has been plenty fast for my use case so far)
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
This example maybe helpful.
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Julia is the better language for extending Python
Given that it's via pyO3, you could even pass the numpy arrays using https://github.com/PyO3/rust-numpy and get ndarrays at the other side.
Same no copy, slightly more user friendly approach.
Further criticism of the actual approach - even if we didn't do zero copy, there's no preallocation for the vector despite the size being known upfront, and nested vectors are very slow by default.
So you could speed up the entire thing by passing it to ndarray, and then running a single call to sum over the 2D array you'd find at the other end. (https://docs.rs/ndarray/0.15.1/ndarray/struct.ArrayBase.html...)
- PyO3: Rust Bindings for the Python Interpreter
image-super-resolution
- A tech worker is selling a children's book he made using AI. Professional illustrators are pissed.
- Low quality surveillance footage from a hit and run that happened today. Greatly appreciate if anyone has any ideas on how to get the plate number.
- What’s an extremely useful website most people probably don’t know about?
- VC#4 - pancake - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- VC#1 - presidency - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- I unwrapped Neil Armstrong’s visor to 360 sphere to see what he saw.
- Totally free and unlimited upscale or superresolution AI
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
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?
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
julia - The Julia Programming Language
RustPython - A Python Interpreter written in Rust
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
waifu2x - Image Super-Resolution for Anime-Style Art
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
rayon - Rayon: A data parallelism library for Rust
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting