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Has the team considered using OpenCV for more than facial/object recognition given the recent improvements to the AI pipelines in 8.5/8.6 (thank you Mike!)? </div>
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I'm hoping for something similar to iPhoto's auto-generated highlight reels where DigiKam would identify a quick-and-dirty "good enough" sampling and representation of the contents of a folder. This would save hours of manual labor: Just selecting vacation
highlights can be incredibly time consuming and intimidating when the folder contains well over 1,000 photos from my wife, children, and I with many overlapping subjects, duplicates, errant or "failed experiment" photos, etc.</div>
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These Highlights don't need to be some Platonic ideal "best" photos (whatever that means), and certainly wouldn't replace human-centric selection of the perfect pose and expression. However, qualitatively decent pictures could be selected using AI-based criteria
such as focus/sharpness, visual clutter, uniqueness, and rule of thirds composition. I don't need 100 elephant pictures from the zoo; just pick a few good ones. Just pick one of the 6 group pictures (even if someone's eyes are closed, I can always refine it
later). Skip the 15 pictures taken of the inside of my pocket. Et cetera.</div>
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Ideally, Highlight photos could be selected to be further manually tagged, starred, labelled, or otherwise entered into existing workflows. Or, they could just be copied directly to a slideshow, photo frame, or email, knowing they capture the gist of a folder.</div>
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Would others find such a feature useful? Or is <span style="color: rgb(0, 0, 0);">
DigiKam already capable of something like this and I'm just not aware of it?</span></div>
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Thanks!</div>
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