libvips
ck
libvips | ck | |
---|---|---|
24 | 7 | |
9,029 | 2,295 | |
1.1% | 0.4% | |
9.2 | 6.9 | |
4 days ago | 21 days ago | |
C | C | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
libvips
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Ask HN: How to handle user file uploads?
Read through the comments and was surprised no one mentioned libvips - https://github.com/libvips/libvips. At my current small company we were trying to allow image uploads and started with imagemagick but certain images took too long to process and we were looking for faster alternatives. It's a great tool with minimum overhead. For video thumbnails, we use ffmpeg which is really heavy. We off-load video thumbnail generation to a queue. We've had great luck with these tools.
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Building an online image compressor
After some research, I found libvips, a demand-driven, horizontally threaded image processing library. It is designed to run quickly while using as little as memory as possible.
- Libvips: A fast image processing library with low memory needs
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Things you might not know about Next Image
Sharp is a fast and efficient image optimization Node.js module that makes use of the native libvips library.
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Go Image Converting
h2non/bimg can handle both if the underlying libvips is compiled with support for both formats.
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.Webp is the bane of my existence
if you're using linux (which it doesn't seem so) there's also vispdisp https://github.com/jcupitt/vipsdisp which is based on https://github.com/libvips/libvips which will likely take over how images are decoded in the future for everything, at least methodology wise.
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How are responsive image sets are generated, stored, and managed server-side?
The magic happens by way of a library called Libvips, which contains an ultra-high-speed low-memory image resizer.
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imagor v1 - a fast, Docker-ready image processing server in Go, libvips and more
imagor uses one of the most efficient image processing library libvips. It is typically 4-8x faster than using the quickest ImageMagick and GraphicsMagick settings.
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[OSError] Cannot find pyvips library (DLLs)
Try the solutions here: https://github.com/libvips/libvips/issues/2479
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Image library for fast read of huge Tif files?
in that case maybe take a look at https://github.com/libvips/libvips
ck
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Falsehoods programmers believe about undefined behavior
Maybe I'm missing something, but x is not volatile and the compiler is free to assume that it is not modified concurrently outside the bounds of C's memory model. Compilers can and do hoist out loop invariants, and https://github.com/concurrencykit/ck/commit/b54ae5c4ace9b94442bbb46858449069f566d269 seems like an example of compilers doing what you say they don't. What am I missing?
- Concurrency Kit
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A portable, license-free, lock-free data structure library written in C.
Recommend checking out http://concurrencykit.org instead.
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Does a thread have a better chance of acquiring a mutex if it's just in time? Or if it's been in the queue? Neither?
If you're interested in how other approaches work, or how one achieves concurrency on shared mutable state without mutual exclusion, would recommend checking out concurrency kit.
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Libdill: Structured Concurrency for C (2016)
There are plenty of practical solutions to the safe memory reclamation problem in C. The language just doesn't force one on you.
From epoch-based reclamation (https://github.com/concurrencykit/ck/blob/master/include/ck_..., especially with the multiplexing extension to Fraser's classic scheme), to quiescence schemes (https://liburcu.org/), or hazard pointers (https://github.com/facebook/folly/blob/master/folly/synchron..., or https://pvk.ca/Blog/2020/07/07/flatter-wait-free-hazard-poin...)... or even simple using a type-stable (https://www.usenix.org/legacy/publications/library/proceedin...) memory allocator.
In my experience, it's easier to write code that is resilient to hiccups in C than in Java. Solving SMR with GC only offers something close to lock-freedom when you can guarantee global GC pauses are short enough... and common techniques to bound pauses, like explicitly managed freelists land you back in the same problem space as C.
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C Deep
ck - Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures. BSD-2-Clause
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Super-expressive – Write regex in natural language
Indeed they do, https://github.com/concurrencykit/ck
What are some alternatives?
OpenCV - Open Source Computer Vision Library
libcds - A C++ library of Concurrent Data Structures
imagick - Go binding to ImageMagick's MagickWand C API
libdill - Structured concurrency in C
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
GD - GD Graphics Library
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
HPX - The C++ Standard Library for Parallelism and Concurrency
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.