MLV-App
xtensor
| MLV-App | xtensor | |
|---|---|---|
| 7 | 8 | |
| 266 | 3,215 | |
| - | 1.0% | |
| 8.8 | 7.6 | |
| 9 days ago | 9 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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MLV-App
- Does anyone know any good open source project to optimize?
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riebecj/mlv-dump-ui: A Cross-Platform User Interface written in Flet for the Magic Lantern dump utility
Did you just create this software for fun (which is fair enough for me) or did you find some real advantage compared to MLVApp (which is a monster compared to your application but is free and covering already 100% of what you want to achieve, including the cross platform requirement)?
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Neutered devices, high-low-ends and high-level-lies
The application for processing RAWs, in DNG photo and video, For windows, OsX x86_64 and ARM, and Linux x86_64 https://mlv.app/
- Is the Canon EOS 7D worth buying for filmmaking?
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New Update comes with "Chroma Smooth". What does it do?
Picture from a forum
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QUESTION - What is the name of the software?
looks a bit like https://mlv.app/
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Automator shell script question (newb)
https://github.com/ilia3101/MLV-App/issues/166 (3 years old):
xtensor
- Does anyone know any good open source project to optimize?
- Container slicing in c++
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Which is the best way to work with matrices and linear algebra using c++?
I use xtensor: https://github.com/xtensor-stack/xtensor
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Can you give an example of well-designed C++ code, and explain why you think it is so?
Currently, one of my current favorites is xtensor.
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Risk of valarray being deprecated?
xTensor natively supports tensors and multidimensional arrays - not just vectors and matrices. Is fast, but not always as fast as Eigen and Blaze - and compiles very slow. Has a nice syntax.
- Xtensor: multi-dimensional arrays with broadcasting and lazy computing
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Eigen: A C++ template library for linear algebra
I wonder how Eigen compares to xtensor, which was inspired by Numpy and has support for views, slicing, and broadcasting?
https://github.com/xtensor-stack/xtensor
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When researching and developing new algorithms to be used in the real-world production environment, what is your workflow and how do you usually do it? Do I have to prototype in Python, and then rewrite all code in C++/Rust?
You can try eigen (http://eigen.tuxfamily.org/), armadillo (http://arma.sourceforge.net/) which is based on LAPACK which is what numpy is based on and xtensor (https://github.com/QuantStack/xtensor) which I think is the closest thing to numpy you’re gonna find in c++
What are some alternatives?
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
Fastor - A lightweight high performance tensor algebra framework for modern C++
motioncam - Motion Cam is a camera application for Android that replaces the entire camera pipeline. It consumes RAW images and uses computational photography to combine multiple images to reduce noise.
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
gpr - General Purpose Raw image format
dynarray - A header-only library, VLA for C++ (≥C++14). Extended version of std::experimental::dynarray
pfr - std::tuple like methods for user defined types without any macro or boilerplate code
SwiftyWasmer - A Swift API for the Wasmer WebAssembly Runtime
RawTherapee - A powerful cross-platform raw photo processing program
GLM - OpenGL Mathematics (GLM)
hiring_test - Show of your coding skills by writing a renderer.
pinocchio - A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives