magika
libvips
magika | libvips | |
---|---|---|
5 | 24 | |
7,490 | 9,228 | |
1.9% | 2.4% | |
9.8 | 9.2 | |
7 days ago | 4 days ago | |
Python | C | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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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.
magika
- Ask HN: How to handle user file uploads?
- FLaNK Stack Weekly 19 Feb 2024
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Magika: AI powered fast and efficient file type identification
As someone that has worked in a space that has to deal with uploaded files for the last few years, and someone who maintains a WASM libmagic Node package ( https://github.com/moshen/wasmagic ) , I have to say I really love seeing new entries into the file type detection space.
Though I have to say when looking at the Node module, I don't understand why they released it.
Their docs say it's slow:
https://github.com/google/magika/blob/120205323e260dad4e5877...
It loads the model an runtime:
https://github.com/google/magika/blob/120205323e260dad4e5877...
They mark it as Experimental in the documentation, but it seems like it was just made for the web demo.
Also as others have mentioned. The model appears to only detect 116 file types:
https://github.com/google/magika/blob/120205323e260dad4e5877...
Where libmagic detects... a lot. Over 1600 last time I checked:
https://github.com/file/file/tree/4cbd5c8f0851201d203755b76c...
I guess I'm confused by this release. Sure it detected most of my list of sample files, but in a sample set of 4 zip files, it misidentified one.
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Show HN: Magika: AI powered fast and efficient file type identification
We are very excited to announce the release of Magika our AI powered fast and efficient file type identification lib and tool - https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html
Thanks to its optimized Keras model, large scale training dataset, and Onnx Magika massively outperform other file identification tools while be very fast even on CPU.
Magika python code and model is open sourced on Github: https://github.com/google/magika and we also provide an experimental TFJS based npm package https://www.npmjs.com/package/magika
With the team we hope you will find Magika useful for your own projects. Let us know what you think or if you have any question!
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
What are some alternatives?
file - Read-only mirror of file CVS repository, updated every half hour. NOTE: do not make pull requests here, nor comment any commits, submit them usual way to bug tracker or to the mailing list. Maintainer(s) are not tracking this git mirror.
OpenCV - Open Source Computer Vision Library
magic - Racket implementation of the Unix file command's magic language
imagick - Go binding to ImageMagick's MagickWand C API
Space-Maker
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
spark-nlp-workshop - Public runnable examples of using John Snow Labs' NLP for Apache Spark.
GD - GD Graphics Library
noseyparker - Nosey Parker is a command-line program that finds secrets and sensitive information in textual data and Git history.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
kaitai_struct_formats - Kaitai Struct: library of binary file formats (.ksy)
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.