vkdt

vkdt

基于GPU加速的开源RAW图像和视频处理工具

vkdt是一个基于GPU加速的开源RAW图像和视频处理工具。它使用灵活的处理节点图作为核心,支持实时动画、延时摄影和RAW视频处理。通过GLSL着色器和Vulkan技术,vkdt实现了高效的图像处理。该工具还提供全窗口色彩管理、噪声分析和命令行界面等功能,适用于各种复杂的图像处理任务。

vkdt原始图像处理GPU加速图像处理工作流开源软件Github开源项目

raw photography processing workflow

which sucks less

vkdt is a workflow toolbox for raw stills and video. vkdt is designed with high performance in mind. it features a flexible processing node graph at its core, enabling real-time support for animations, timelapses, raw video, and heavy lifting algorithms like image alignment and better highlight inpainting. this is made possible by faster processing, allowing more complex operations.

the processing pipeline is a generic node graph (DAG) which supports multiple inputs and multiple outputs. all processing is done in glsl shaders/vulkan. this facilitates potentially heavy duty computational photography tasks, for instance aligning multiple raw files and merging them before further processing, as well as outputting intermediate results for debugging. the gui profits from this scheme as well and can display textures while they are still on GPU and output the data to multiple targets, such as the main view and histograms.

features

documentation

packages

there are nightly packages built by the github ci.

also there are nixos packages vkdt and vkdt-wayland which you can use to try out/run on any linux distro, for instance:

  nix-shell -p vkdt

build instructions

you should then be able to simply run 'make' from the bin/ folder. for debug builds (which enable the vulkan validation layers, so you need to have them installed), try

  cd bin/
  make debug -j12

simply run make without the debug for a release build. note that the debug build includes some extra memory overhead and performs expensive checks and can thus be much slower. make sanitize is supported to switch on the address sanitizer. changes to the compile time configuration as well as the compiler toolchain can be set in config.mk. if you don't have that file yet, you can copy it from config.mk.defaults.

running

the binaries are put into the bin/ directory. if you want to run vkdt from anywhere, create a symlink such as /usr/local/bin/vkdt -> ~/vc/vkdt/bin/vkdt.

  cd bin/
  ./vkdt -d all /path/to/your/rawfile.raw

raw files will be assigned the bin/default-darkroom.i-raw processing graph. if you run the command line interface vkdt-cli, it will replace all display nodes by export nodes. there are also a few example config files in bin/examples/. note that you have to edit the filename in the example cfg to point to a file that actually exists on your system.

licence

our code is licenced under the 2-clause bsd licence (if not clearly marked otherwise in the respective source files, which contain a bit of GPLv3). there are parts from other libraries that are licenced differently. in particular:

rawspeed: LGPLv2 ffmpeg: LGPLv2 nuklear: public domain

and we may link to some others, too.

dependencies

  • vulkan, glslangValidator (libvulkan-dev, glslang-tools, or use the sdk)
  • glfw (libglfw3-dev and libglfw3, only use libglfw3-wayland if you're on wayland)
  • for raw input support:
    • either rawspeed (depends on pugixml, stdc++, zlib, jpeg, libomp, build-depends on cmake, libomp-dev, optionally libexiv2)
    • or rawler (depends on rust toolchain which will manage their own dependencies)
  • libjpeg
  • video io: libavformat libavcodec (minimum version 6)
  • sound: libasound2
  • build: make, pkg-config, clang, rsync, sed, xxd

the full list of packages used to build the nightly appimages can be found in the workflow yaml file.

optional (configure in bin/config.mk):

  • exiv2 (libexiv2-dev) for raw metadata loading to assign noise profiles, only needed for rawspeed builds
  • asound (libasound2) for audio support in mlv raw video
  • ffmpeg (libavformat-dev libavcodec-dev) for the video io modules i-vid and o-vid

you can also build without rawspeed or rawler if that is useful for you.

faq

  • can i load canon cr3 files?
    yes. use the rawler backend.

  • does it work with wayland?
    vkdt has been confirmed to run on wayland, using amd and nvidia hardware.

  • can i run my super long running kernel without timeout?
    if you're using your only gpu in the system, you'll need to run without xorg, straight from a tty console. this means you'll only be able to use the command line interface vkdt-cli. we force a timeout, too, but it's something like 16 minutes. let us know if you run into this..

  • can i build without display server?
    there is a cli target, i.e. you can try to run make cli to only generate the command line interface tools that do not depend on xorg or wayland or glfw.

  • i have multiple GPUs and vkdt picks the wrong one by default. what do i do?
    make sure the GPU you want to run has the HDMI/dp cable attached (or else you can only run vkdt-cli) on it. then run vkdt -d qvk and find a line such as

[qvk] dev 0: NVIDIA GeForce RTX 2070

and then place this printed name exactly as written there in your
~/.config/vkdt/config.rc in a line such as, in this example:

strqvk/device_name:NVIDIA GeForce RTX 2070

if you have several identical models in your system, you can use the device number vkdt assigns (an index starting at zero, again see the log output), and instead use

intqvk/device_id:0
  • can i use my pentablet to draw masks in vkdt?
    yes, but you need a specific version of glfw to support it. you can for instance clone https://github.com/hanatos/glfw, for instance to /home/you/vc/glfw, and then put the following in your custom bin/config.mk:
VKDT_GLFW_CFLAGS=-I/home/you/vc/glfw/include/
VKDT_GLFW_LDFLAGS=/home/you/vc/glfw/build/src/libglfw3.a
VKDT_USE_PENTABLET=1
export VKDT_USE_PENTABLET
  • are there system recommendations?
    vkdt needs a vulkan capable GPU. it will work better with floating point atomics, in particular shaderImageFloat32AtomicAdd. you can check this property for certain devices on this website. also, vkdt requires 4GB video ram (it may run with less, but this seems to be a number that is fun to work with). a fast ssd is desirable since disk io is often times a limiting factor, especially during thumbnail creation.

  • can i speed up rendering on my 2012 on-board GPU?
    you can set the level of detail (LOD) parameter in your ~/.config/vkdt/config.rc file: intgui/lod:1. set it to 2 to only render exactly at the resolution of your screen (will slow down when you zoom in), or to 3 and more to brute force downsample.

  • can i limit the frame rate to save power?
    there is the frame_limiter option in ~/.config/vkdt/config.rc for this. set intgui/frame_limiter:30 to have at most one redraw every 30 milliseconds. leave it at 0 to redraw as quickly as possible.

  • where can i ask for support?
    try #vkdt on oftc.net or ask on pixls.us.

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多