Vision Transformers for Facial Recognition

An attempt to create the most accurate, reliable, and general vision transformers for facial recognition at scale.

Installation

pip install frvit

MIT

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for frvit 0.0.2
File	Size	Uploaded
frvit-0.0.2.tar.gz	8.8 kB	Oct 8, 2023	Details

Table of built distributions (wheels) for frvit 0.0.2
File	Interpreter	ABI	Platform	Reset
frvit-0.0.2-py3-none-any.whl 9.5 kB Oct 8, 2023	Python 3	none	any	Details

Total release size: 18.3 kB

Download URL	frvit-0.0.2.tar.gz
Size	8.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`51926f95c7a82d4c4a2049c5fe8c1a82da07551a5e3e4bec14f6c9b9531e6e00`
BLAKE2b-256 checksum How to use checksums	`20bd40a3958492ae02ac840604af761ed69bab8948e5b45e071866d04081f7e1`
Upload date	Oct 8, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0`

Download URL	frvit-0.0.2-py3-none-any.whl
Size	9.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0ee6ac6e66791944ab88a78f4b8db623b5f18414318411716084e9a544b5fda8`
BLAKE2b-256 checksum How to use checksums	`f1a9f7f08c395d97d81d5b85eee5651ebd95cf420b1ea1279d0bc62e6461f7d1`
Upload date	Oct 8, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0`

This release

0.0.2 This release