digiKam is an advanced open-source digital photo management application that runs on Linux, Windows, and MacOS. The application provides a comprehensive set of tools for importing, managing, editing, and sharing photos and raw files.
digiKam might be a bit more popular than ML5.js. We know about 9 links to it since March 2021 and only 9 links to ML5.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
Digikam seems ideal for this https://digikam.org/. - Source: Hacker News / 11 months ago
I have all of my photos (with the exception of smartphone photos... ugh) in a nicely constructed set of folders \photos\yyyy\yyyymmmdd\ then the folder made by the camera, etc. I've got a small python script to generate the folders. I use Digikam[1] to do facial recognition and tagging on them. It's finally gotten to the point where it doesn't crash all the time writing metadata, and the facial recognition is... - Source: Hacker News / 11 months ago
I use digikam for my own personal library. I’m not sure if it’s able to be run from a server, but I know you can hook up a NAS to it to manage it. Can tag photos, rank, organize, etc. Source: about 1 year ago
Check out digiKam. It has photo editing tools as well, but the main focus is photo management. Also it is free and open source. Source: about 2 years ago
But with that many photos, I'd suggest a more fully featured digital asset management (DAM) program. Lightroom (paid), DigiKam, or DarkTable (both free) are good choices. PhoTool's IMatch (paid) also uses exiftool and is extremely powerful with regards to metadata. Source: about 2 years ago
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