G-NetFace

Iqukethe izikhangiso
5K+
Okudawunilodiwe
Isilinganiselwa sokuqukethwe
I-USK: Bonke ubudala
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini

Mayelana nalolu hlelo lokusebenza

I-G-NetFace isebenzisa inethiwekhi ye-neural ukuze ibone ubuso. Ungaqhathanisa ubuso obubili noma ukhethe ifolda yobuso nosesho noma isizindalwazi esinezithombe zokufanisa ubuso.

Qhathanisa UBUSO:
Layisha izithombe ezimbili futhi ubale ukufana phakathi kobuso. Uma isithombe siqukethe ubuso obuningi ungakhetha ukuthi yisiphi ozosisebenzisa ukuze usiqhathanise.

Isetshenziswa kanjani:
1. Layisha ubuso obu-1 isithombe.
2. Layisha ubuso 2 isithombe.
3. Cindezela Qhathanisa UBUSO - ukufana phakathi kobuso kubalwa. Ungakwazi futhi ukubona ishadi lokushumeka kobuso okungu-128 okukhiqizwa yinethiwekhi ye-neural.

USESHO LWEFOLDA:
Layisha isithombe sobuso bese usesha ubuso obufanayo kufolda yezithombe.

Isetshenziswa kanjani:
1. Layisha isithombe sobuso.
2. Khetha ifolda enezithombe ezoseshwa.
3. Cindezela okuthi QALA - ubuso obukhethiwe buqhathaniswa nobuso ezithombeni ezikufolda ekhethiwe futhi imiphumela enokufana okukhulu kunomkhawulo ochaziwe ezilungiselelweni iyaboniswa.

USESHO Lwedathabhesi:
Isetshenziswa kanjani:
1. Dala isizindalwazi - Vula Imenyu - Isizindalwazi. Khetha ifolda yezithombe nesizindalwazi bese ucindezela u-QALA. Izithombe ezisuka kufolda ekhethiwe zingeniswa kusizindalwazi esikhethiwe.
2. Vula Imenyu - Usesho lwesizindalwazi. Khetha isithombe sobuso nesizindalwazi ukuze useshe
3. Cindezela okuthi QALA - ubuso obukhethiwe buqhathaniswa nobuso kusizindalwazi esikhethiwe futhi imiphumela enokufana okukhulu kunomkhawulo ochaziwe ezilungiselelweni iyaboniswa.

Izilungiselelo:
- I-threshold yosesho lwefolda - ichaza i-threshold ukuthi yimiphi imiphumela ezovela kokuthi FOLDER SEARCH. Ubuso obunokufana okukhulu kunalo mngcele buzoboniswa.

Inqubomgomo yobumfihlo yohlelo lokusebenza - https://sites.google.com/view/gyokovsolutions/g-netface-privacy-policy
Kubuyekezwe ngo-
Aga 6, 2024

Ukuphepha kwedatha

Ukuphepha kuqala ngokuqonda ukuthi onjiniyela baqoqa futhi babelane kanjani ngedatha yakho. Ubumfihlo bedatha nezinqubo zokuphepha zingahluka kuye ngokusebenzisa kwakho, isifunda, nobudala. Unjiniyela unikeze lolu lwazi futhi angalubuyekeza ngokuhamba kwesikhathi.
Le app ingabelana ngalezi zinhlobo zedatha nezinkampani ezingahlobene ngqo
Umsebenzi wohlelo lokusebenza, Ulwazi lwe-app nokusebenza, ne-Idivayisi noma amanye ama-ID
Le app ingaqoqa lezi zinhlobo zedatha
Umsebenzi wohlelo lokusebenza, Ulwazi lwe-app nokusebenza, ne-Idivayisi noma amanye ama-ID
Idatha ibetheliwe lapho ithunyelwa
Idatha ayikwazi ukusulwa

Yini entsha

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