vladimir_adt

5 ms·

1.
by vladimir_adt 1y ago
Interesting approaches. Did you face the problem with none-frontal image when two person look to each others. For my opinion its also possible add some animation where person slide in and then calculation occurred. Its should be perfect for
2.
by vladimir_adt 1y ago
Yes, it's already available, though there are some issues on newer iOS devices, so we haven't officially released it yet. However, you can try it now using our Flutter demo here and React Native demo here. For now, I recommend sta
3.
by vladimir_adt 1y ago
At a higher level, it supports all standard formats on Android (inherited from `BitmapFactory`). For a faster solution, you can pass the raw YUV image directly from the camera source. On iOS, the approach is similar, but the supported forma
4.
by vladimir_adt 1y ago
Sunglasses mostly work, thanks to face shape recognition. Masks can be detected if they match common types included in the dataset (scary, ghost, cat, Halloween, etc.). We can calculate a 'human score,' but the robust solution is
5.
by vladimir_adt 1y ago
In terms of battery life, the AI doesn't even load the two performance cores — the main power consumption comes from the camera preview. On Android, it's more reliable to keep the device connected to a power source and use the bat
6.
by vladimir_adt 1y ago
It's already live and working with camera preview on both Android and iOS. We plan to update the demos to reflect that. A question for you in return: Are you satisfied with the non-Full HD live preview, or do you need a more detailed i
7.
by vladimir_adt 1y ago
It's a bit challenging to create a dataset with all types of angled faces. We're currently working internally on a small dataset of around 128 images, but overall, testing is proceeding as planned.
8.
Show HN: Perch-Eye – Cross-Platform Face Comparison SDK for Android and iOS(github.com)
3 points by vladimir_adt 1y ago|14 comments