Face detection and Face Recognition app allow user to train and recognize user
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İsim | Face Recognition |
---|---|
Sürüm | 28.0 |
Güncelleme | 20 Ağu 2024 |
Boyut | 28 MB |
Kategori | Kitaplıklar ve Kısa Sunum |
Yükleme sayısı | 100B+ |
Geliştirici | MMM developers |
Android OS | Android 5.0+ |
Google Play ID | org.opencv.javacv.recognition |
Face Recognition · Açıklama
This Face Recognition application detect and recognize user face. Face Recognition has three main module
First Face Recognition allow user to train person by face detection and save user name.
Second Face Recognition module face recognition is to recognize trained user faces and display names of person with match for face detection.
The third Face Recognition module is a face recognition gallery consisting of all trained faces by face detection and face recognition. Users can delete faces as well.
All images are saved in the user's mobile so your images are saved so you can train as many faces as you can.
face recognition app is now updated with a newer version of OpenCV so that face detection and face recognition work smoothly on every device.
Face recognition applications have crossed 100k+ users thanks to you all.
we are going to release a face recognition stable version using tensorflow.
First Face Recognition allow user to train person by face detection and save user name.
Second Face Recognition module face recognition is to recognize trained user faces and display names of person with match for face detection.
The third Face Recognition module is a face recognition gallery consisting of all trained faces by face detection and face recognition. Users can delete faces as well.
All images are saved in the user's mobile so your images are saved so you can train as many faces as you can.
face recognition app is now updated with a newer version of OpenCV so that face detection and face recognition work smoothly on every device.
Face recognition applications have crossed 100k+ users thanks to you all.
we are going to release a face recognition stable version using tensorflow.