rawloader
rawspeed
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| rawloader | rawspeed | |
|---|---|---|
| 3 | 10 | |
| 293 | 335 | |
| - | 3.3% | |
| 5.4 | 9.9 | |
| 21 days ago | 7 days ago | |
| Rust | C++ | |
| GNU Lesser General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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.
rawloader
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Announcing: ImageSieve, a tool to assist in sorting and archiving images and videos
I absolutely loved all the crates available that made my life very simple in many cases. I used (among others) the slint ui framework, kamadak-exif, img_hash, fast_image_resize and rawloader.
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QOI: Lossless Image Compression in O(n) Time
The simplest form is just to pack 10 or 12 bit values. There's all kinds of variations of that:
https://github.com/pedrocr/rawloader/blob/a59bb78d156277781a...
There are a few formats that use a curve and less bits. They do become lossy and doing dithering on decompress is useful to avoid banding.
The Nikon one you mention was only used very early and is decoded by decode_8bit_wtable() in that file. It's just looking up the 8 bit value in the table and then adding some randomness to prevent the banding.
rawspeed
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Support for a6700?
It works fine in the latest stable release of Darktable. You just need the definition for the camera in cameras.xml. Support for the A6700 was already added in the development branch but there hasn't been a new stable release yet since. Fortunately, simply downloading and replacing the file (which you can get from the dev branch on GitHub) suffices.
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Ansel
How about this? https://github.com/darktable-org/rawspeed/blob/develop/data/...
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Support for Nikon Z8
Propably you can just download cameras.xml and replace the one you locally have https://github.com/darktable-org/rawspeed/blob/develop/data/cameras.xml
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A7R V RAW Support
As /u/emkoemko said, support for lossless compressed RAW is not available at this time. The support of Sony lossless RAW in darktable depends on rawspeed implementing support for it. You can follow and contribute to the effort here: https://github.com/darktable-org/rawspeed/pull/386
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darktable feature release 4.0.1
Does anyone know what's the way to help with the OM-1 camera support? There's a PR that works really well (https://github.com/darktable-org/rawspeed/pull/357).
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[REQUEST]: I need some examples of Canon RAW format files or a utility to make them.
The repo of files used for RAWSpeed (https://github.com/darktable-org/rawspeed)
- Upgraded from 2.6.2 to 3.6.1 - Images now tend to be very pink or very green, even after clearing history stack
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Next release
No samples on https://raw.pixls.us/ it seems. If you provide samples and open an issue in the rawspeed issue tracker this will make things a lot easier https://github.com/darktable-org/rawspeed/issues
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dng files from smartphone look dark and dull.
For some references, see for example DT PR, DT issue, and librawspeed issue.
What are some alternatives?
dnglab - Camera RAW to DNG file format converter
darktable - darktable is an open source photography workflow application and raw developer
fast_image_resize - Rust library for fast image resizing with using of SIMD instructions.
gpr - General Purpose Raw image format
slint - Slint is a declarative GUI toolkit to build native user interfaces for Rust, C++, or JavaScript apps.
innoextract - A tool to unpack installers created by Inno Setup
qoi - A rust implementation of the “Quite OK Image” format for fast, lossless image compression
cmake-cookbook - CMake Cookbook recipes.
msgpack-rust - MessagePack implementation for Rust / msgpack.org[Rust]
stduuid - A C++17 cross-platform implementation for UUIDs
qoi - The “Quite OK Image Format” for fast, lossless image compression
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU