G-NetFace
by GyokovSolutions
Neural network face recognition app
App Name | G-NetFace |
---|---|
Developer | GyokovSolutions |
Category | Tools |
Download Size | 62 MB |
Latest Version | 4.5 |
Average Rating | 4.00 |
Rating Count | 33 |
Google Play | Download |
AppBrain | Download G-NetFace Android app |
G-NetFace uses neural network for face recognition. You can compare two faces or select face and search folder or database with images for face match.
COMPARE FACES:
Load two images and calculate similarity between faces. If an image contains several faces you can select which one to use for comparison.
How to use:
1. Load face 1 image.
2. Load face 2 image.
3. Press COMPARE FACES - similarity between faces is calculated. You can also see chart of the 128 face embeddings that neural network produces.
FOLDER SEARCH:
Load face image and search matching face in a folder of images.
How to use:
1. Load face image.
2. Select folder with images to be searched.
3. Press START - the selected face is compared with faces in images in selected folder and the results with similarity bigger than defined threshold in settings are shown.
DATABASE SEARCH:
How to use:
1. Create database - Open Menu - Database. Select images folder and database and press START. Images from selected folder are imported in selected database.
2. Open Menu - Database search. Select face image and database to search
3. Press START - the selected face is compared with faces in selected database and the results with similarity bigger than defined threshold in settings are shown.
Settings:
- Folder search threshold - defines threshold which results to appear in FOLDER SEARCH. Faces with similarity bigger than this threshold will be shown.
App privacy policy - https://sites.google.com/view/gyokovsolutions/g-netface-privacy-policy
Recent changes:
G-NetFace is a neural network face recognition app.
v4.5
- Android 14 ready
v4.1
- Menu - Remove ads
v4.0
- increased number of databases to 10
- improved face alignment
v3.0
- option to remove ads
v2.6
- added database search:
1. Create database - Open Menu - Database. Select folder and import images in selected database.
2. Search in database - Open Menu - Database search. Select face image and database to search and press START.
v2.2
- added face embedding graph
COMPARE FACES:
Load two images and calculate similarity between faces. If an image contains several faces you can select which one to use for comparison.
How to use:
1. Load face 1 image.
2. Load face 2 image.
3. Press COMPARE FACES - similarity between faces is calculated. You can also see chart of the 128 face embeddings that neural network produces.
FOLDER SEARCH:
Load face image and search matching face in a folder of images.
How to use:
1. Load face image.
2. Select folder with images to be searched.
3. Press START - the selected face is compared with faces in images in selected folder and the results with similarity bigger than defined threshold in settings are shown.
DATABASE SEARCH:
How to use:
1. Create database - Open Menu - Database. Select images folder and database and press START. Images from selected folder are imported in selected database.
2. Open Menu - Database search. Select face image and database to search
3. Press START - the selected face is compared with faces in selected database and the results with similarity bigger than defined threshold in settings are shown.
Settings:
- Folder search threshold - defines threshold which results to appear in FOLDER SEARCH. Faces with similarity bigger than this threshold will be shown.
App privacy policy - https://sites.google.com/view/gyokovsolutions/g-netface-privacy-policy
Recent changes:
G-NetFace is a neural network face recognition app.
v4.5
- Android 14 ready
v4.1
- Menu - Remove ads
v4.0
- increased number of databases to 10
- improved face alignment
v3.0
- option to remove ads
v2.6
- added database search:
1. Create database - Open Menu - Database. Select folder and import images in selected database.
2. Search in database - Open Menu - Database search. Select face image and database to search and press START.
v2.2
- added face embedding graph