DirectXMath
FFmpeg
DirectXMath | FFmpeg | |
---|---|---|
13 | 486 | |
1,481 | 42,517 | |
0.3% | 1.8% | |
6.6 | 10.0 | |
about 1 month ago | 4 days ago | |
C++ | C | |
MIT License | GNU General Public License v3.0 or later |
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DirectXMath
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Vector math library benchmarks (C++)
For those unfamiliar, like I was, DXM is DirectXMath.
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Learning DirectX 12 in 2023
Alongside MiniEngine, you’ll want to look into the DirectX Toolkit. This is a set of utilities by Microsoft that simplify graphics and game development. It contains libraries like DirectXMesh for parsing and optimizing meshes for DX12, or DirectXMath which handles 3D math operations like the OpenGL library glm. It also has utilities for gamepad input or sprite fonts. You can see a list of the headers here to get an idea of the features. You’ll definitely want to include this in your project if you don’t want to think about a lot of these solved problems (and don’t have to worry about cross-platform support).
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Optimizing compilers reload vector constants needlessly
Bad news. For SIMD there are not cross-platform intrinsics. Intel intrinsics map directly to SSE/AVX instructions and ARM intrinsics map directly to NEON instructions.
For cross-platform, your best bet is probably https://github.com/VcDevel/std-simd
There's https://eigen.tuxfamily.org/index.php?title=Main_Page But, it's tremendously complicated for anything other than large-scale linear algebra.
And, there's https://github.com/microsoft/DirectXMath But, it has obvious biases :P
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MATHRIL - Custom math library for game programming
I am not in gamedev, but work with 3D graphics, we use DirectX 11, so DirectXMath was a natural choice, it is header only, it supports SIMD instructions (SSE, AVX, NEON etc.), it can even be used on Linux (has no dependence on Windows). It of course just one choice: https://github.com/Microsoft/DirectXMath.
- When i had to look up what a Quaternion is
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Eigen: A C++ template library for linear algebra
I never really used GLM, but Eigen was substantially slower than DirectXMath https://github.com/microsoft/DirectXMath for these things. Despite the name, 99% of that library is OS agnostic, only a few small pieces (like projection matrix formula) are specific to Direct3D. When enabled with corresponding macros, inline functions from that library normally compile into pretty efficient manually vectorized SSE, AVX or NEON code.
The only major issue, DirectXMath doesn’t support FP64 precision.
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maths - templated c++ linear algebra library with vector swizzling, intersection tests and useful functions for games and graphics dev... includes live webgl/wasm demo ?
If you’re the author, consider comparisons with the industry standards, glm and DirectXMath, which both ensure easy interoperability with the two graphics APIs.
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Algorithms for division: Using Newton's method
Good article, but note that if the hardware supports the division instruction, will be much faster than the described workarounds.
Personally, I recently did what’s written in 2 cases: FP32 division on ARMv7, and FP64 division on GPUs who don’t support that instruction.
For ARM CPUs, not only they have FRECPE, they also have FRECPS for the iteration step. An example there: https://github.com/microsoft/DirectXMath/blob/jan2021/Inc/Di...
For GPUs, Microsoft classified FP64 division as “extended double shader instruction” and the support is optional. However, GPUs are guaranteed to support FP32 division. The result of FP32 division provides an awesome starting point for Newton-Raphson refinement in FP64 precision.
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Use of BLAS vs direct SIMD for linear algebra library operations?
For graphics DX math is a very good library.
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Speeding Up `Atan2f` by 50x
I wonder how does it compare with Microsoft’s implementation, there: https://github.com/microsoft/DirectXMath/blob/jan2021/Inc/Di...
Based on the code your version is probably much faster. It would be interesting to compare precision still, MS uses 17-degree polynomial there.
FFmpeg
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Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
FFmpeg (https://ffmpeg.org/)
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Show HN: CompressX, my FFmpeg wrapper for macOS, made $9k in the last 4 months
GPL2
Since FFmpeg is GPL2, doesn’t that require CompressX to disclose its source code?
IANAL, apologies if I miss understand license requirements.
https://github.com/FFmpeg/FFmpeg?tab=License-1-ov-file
- Microsoft offered FFmpeg one-time payment instead of support contract
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Writing x86 SIMD using x86inc.asm (2017)
This turns out to be a lot of assembly macros to help write one x86 assembly. https://github.com/FFmpeg/FFmpeg/blob/master/libavutil/x86/x...
The sibling comment recommending compiler intrinsics is probably the best way to go for writing SIMD code. A mixture of `` style types and intrinsics to specify instructions is a solid 90% solution compared to assembly.
If you want that last 10%, I think macros are putting the emphasis in the wrong place. They're a somewhat easy way to build up a language abstraction which will work if held carefully, but I'm confident the dev experience using this abstraction when you write invalid code will be deeply confusing.
I would suggest to write a parser instead of the macros. That'll tell you clearly when the syntax is invalid (though possibly not with much precision) and it'll give you a place to put semantic analysis for where valid syntax encodes nonsense. Do the equivalent of the macro expansions on the parsed tree instead of on the text. Emit asm as the "back end".
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Video Generation with Python
You might have heard of FFMPEG or ImageMagick for image and video edition in a programmatic way. MoviePy is a Python module for video editing (Python wrapper for FFMPEG and ImageMagick). It provides functions for cutting, concatenations, title insertions, video compositing, video processing, and the creation of custom effects. It can read and write common video and audio formats and be run on any platform with Python 2.7 or 3+.
- I want some logically difficult c programs
- Looking for a good file converter for upload testing
- Best Way to Rip Rare DVDs?
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11 Ways to Optimize Your Website
There are many cloud-based tools and websites that can convert your images, but the problem with these tools is that you usually have to upload the files for them to be processed, and some of their services are not free. In this article, I'd like to introduce a piece of software called FFmpeg, which allows you convert the images locally with one simple command.
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AI-assisted removal of filler words from video recordings
To run the demo locally, be sure to have Python 3.11 and FFmpeg installed.
What are some alternatives?
GLM - OpenGL Mathematics (GLM)
mpv - 🎥 Command line video player
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
ffmpeg-python - Python bindings for FFmpeg - with complex filtering support
libjxl - JPEG XL image format reference implementation
OpenH264 - Open Source H.264 Codec
Fastor - A lightweight high performance tensor algebra framework for modern C++
Exoplayer - An extensible media player for Android
glibc - GNU Libc
hlsdl - C program to download VoD HLS (.m3u8) files
Vc - SIMD Vector Classes for C++
GStreamer - GStreamer open-source multimedia framework