Photivo is intended to be used in a workflow together with digiKam/F-Spot/Shotwell and Gimp. It offers the most flexible and powerful denoise, sharpen and local contrast (fake HDR) algorithms in the open source world. Photivo tries to provide the best algorithms available even if this implies some redundancy. Photivo is a free and open source photo processor which handles RAW files as well as raster photos. A tool stack can even be copied to a batch of photos at one time. It's a completely non-destructive editor, where any of the tools can be re-adjusted or modified later - even in a different editing session. Rather than using layers in the way that other photo editors do, LightZone lets the user build up a stack of tools which can be rearranged, readjusted, turned off and on, and removed from the stack. LightZone is professional-level digital darkroom software for Windows, Mac OS X, and Linux, that includes RAW processing and editing. A special tool based on lensfun library permit to apply lens corrections automatically on images. This includes basic tools for adjusting colours, cropping, and sharpening as well as advanced tools for, curves adjustment, panorama stitching, and much more. The application provides a comprehensive set of editing tools. You can then use filtering functionality to quickly find items that match specific criteria. But the application also features powerful tagging tools that allow you to assign tags, ratings, and labels to photos and raw files. The application allows you to configure import settings and rules that process and organize imported items on-the-fly.ĭigiKam organizes photos, raw files, and videos into albums. You can use digiKam's import capabilities to easily transfer photos, raw files, and videos directly from your camera and external storage devices (SD cards, USB disks, etc.). The application provides a comprehensive set of tools for importing, managing, editing, and sharing photos and raw files. digiKamĭigiCam - Professional Photo Management with the Power of Open SourceĭigiKam is an advanced open-source digital photo management application that runs on Linux, Windows, and MacOS. It manages your digital negatives in a database, lets you view them through a zoomable light table and enables you to develop raw images and enhance them. A virtual light table and darkroom for photographers. DarkTableĭarktable is an open source photography workflow applicationĭarkTable is an open source photography workflow application and raw developer. And it does it very well - at a minimum, RawTherapee is one of the most powerful raw processing programs available. Rather than being a raster graphics editor such as Photoshop or GIMP or a digital asset management program like digiKam, it is specifically aimed at raw photo post-production. RawTherapee is a cross-platform raw image processing program. It is also by far the most expensive, which means that the powerful features are not available to most amateur and beginner photographers. There is also a test web app that you can run locally to interact with the backend.Adobe Lightroom is one of the most popular photo management and digital workflow applications for photographers. This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. In parallel, it also produces a thumbnail of the photo. It then uses image recognition to tag objects in the photo. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. The Image Recognition and Processing Backend demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. Lambda-refarch-imagerecognition - The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition
0 kommentar(er)
