![]() ![]() So hopefully, some of you are using these new models now because they work better than the old models. So, there’s no need to use something else if something is already working. I found out a long time ago what I like and need, and it works. However, I’m not a big fan of some of these new algorithms, and I prefer the old models, and that’s just a personal preference. Some models have been updated to include new and improved algorithms for making our images sharper and cleaner. We are now at 1.4.0, and it’s been a couple of months since I’ve done any updated video tutorials, and that’s because a lot of the updates have been really simple and nothing earth-shattering. Here are some comparison images that showcase the improvements users can expect when moving from the original auto-detect mask models to the improved ones.Today we have a new update to Topaz Photo ai. Users can now better rely on auto selection, and may need less manual modifications to get a perfect mask. In other words, this update enables more accurate masks, particularly on the boundaries of objects. Now, when classifying each pixel, this new deep learning architecture sees larger local regions to improve this classification accuracy. ![]() In more technical terms, segmenting out the salient object(s) in an image requires us to classify each pixel as salient or not salient. With Sharpen AI v4.1, we’ve made significant improvements to the overall detection quality of these models, as well as improved the edge detection of the auto-drawn masks.Īll three auto selection models have been updated with a recent state-of-the-art deep learning architecture. When enabled, users have the option for Sharpen AI to auto-detect-and mask-general subjects, landscapes/skylines, and portraits. We first introduced auto-detect masking functionality in Sharpen AI v3.3. Release Notes Improved auto-select mask models
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