dnrops
/
DeepFace
mirror of https://github.com/swghosh/DeepFace
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
60 Commits 2 Branches 1 Tag 515 KiB
Python 100%
Go to file
Swarup Ghosh 72b4fbc30f Merge branch 'docs-beta' 2021-07-11 13:10:59 +05:30
contrib/training Moved train tpu to training and added example script 2020-02-12 12:58:37 +05:30
deepface Minor change in et al. 2019-11-12 21:07:58 +05:30
docs Renamed docs/summary.html -> docs/index.html 2019-10-22 14:58:11 +05:30
examples Refactor a script and use MD instead 2020-02-12 13:02:06 +05:30
training Minor change 2020-06-28 09:30:31 +05:30
.gitignore Gitignored .vscode, .idea and pythonenv* for use in GitHub Codespaces 2020-09-09 06:03:45 +00:00
LICENSE Added LICENSE.md 2020-02-11 19:34:20 +05:30
README.md Merge branch 'docs-beta' 2021-07-11 13:10:59 +05:30
deepface-architecture.png Update readme with correct image link 2021-07-11 13:08:55 +05:30
requirements.txt Added results.md, requirements.txt 2019-09-27 18:28:25 +05:30
setup.py Added setup.py 2020-02-12 12:46:59 +05:30

README.md

DeepFace

Introduction

Open source implementation of the renowned publication titled "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf published at Conference on Computer Vision and Pattern Recognition (CVPR) 2014.

DeepFace (CVPR14) Network Architecture

Implementation of this paper have been done using Keras (tf.keras). This project and necessary research was supported by the TensorFlow Research Cloud (TFRC). GCP resources have been used to train a million-scale machine learning model using Cloud TPUs.

Requirements

  • Python 3.5+
  • tensorflow>=1.14.0
  • matplotlib
$ pip install requirements.txt

or

$ python3 -m pip install requirements.txt

Installation

$ pip install git+https://github.com/swghosh/DeepFace.git