The changes in digiKam 7.0.0 continue from there, including the addition of improved support for the HEIF image format via the use of the libheif shared library, new support for Microsoft Visual C++ with the goal of an eventual Windows Store release, official support for FlatPak Linux bundle, expanded metadata options, a new 'HTML5Responsive' theme for the HTMLGallery plugin, new settings for the SlideShow tool and much more. Users can find the full list of supported formats, including the 0.20 additions, on the LibRaw website. With this update, digiKam has gained support for more than 40 additional raw image formats, including ones from cameras like the Sony A7R4, DJI Mavic Air, Ricoh GR III, PhaseOne IQ4 150MP, GoPro HERO7, and more, including several smartphone models. The code with these changes is expected to arrive sometime this summer, according to the team, which says that'll likely drop with digiKam version 7.2.0.īeyond those face recognition changes and planned changes, digiKam 7.0.0 brings LibRaw 0.20, the new version of this library that enables the software to post-process a variety of raw camera files. The algorithm will be updated to implement new face classifiers for faster and more accurate facial recognition, plus it will receive a new face embedding database and more. These features, as well as a handful of others, are being worked on over this summer.Īnother project underway for digiKam is improvements to the software's face recognition neural network engine. The software will pin Important face tags in the sidebar and automatically assign face tag icons for a faster, more visual workflow. Users will soon be able to tell digiKam to ignore certain faces using the Reject button. Other improvements are coming to the face detection tool and related workflow, as well. In cases where the algorithm isn't trained, detected faces are instead marked as 'unknown.' Though the workflow for this updated face recognition function remains the same, the digiKam team notes that users will need to train the neural network to recognize the faces of the people they often photograph by tagging them in multiple images. The digiKam team says that testing the updated feature with 'huge collections' revealed a high level of accuracy resulting in few false positives. It not only organizes your pictures and lets you view them, but also incorporates an efficient editor so you can create error-free images to share and be proud of.The neural network model now used for digiKam's face detection feature can detect faces in a variety of states and arrangements, including profile shots, burred faces, faces partially obstructed by other objects like sunglasses and more. Thanks to its comprehensive graphic editor, you can do a good number of things to your image, applying different filters and textures as well as using other tools to improve your photos.Īll this makes digiKam a good choice amongst all the other photo-editing applications out there. It can also import pictures from Facebook and Picasa, so you don't lose any of your albums. It'll keep you from losing pictures amongst all the different folders on your hard drive and going mad whenever you go looking for one of them.Īn interesting feature in digiKam is that it lets you preview all your photos directly from your digital camera, without having to move them to your computer or download/delete them. DigiKam is a free and open-source application designed to organize, edit, and view your entire image collection.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |