face_recognization (FaceNet) + TFHE (HNP) + hand_face_detection (Mediapipe)

Related tags

Deep LearningSuperControlSystem
Overview

SuperControlSystem

Face_Recognization (FaceNet)

面部识别 (FaceNet)

Fully Homomorphic Encryption over the Torus (HNP)

环面全同态加密 (TFHE)

Hand_Face_Detection (Mediapipe)

手脸检测 (Mediapipe)

DEMO (pesudo)

result

IT CAN

  • FACE FEATURE EXTRACTOR
  • FULLY HOMOMORPHIC ENCRYPTION
  • SYSTEM WITHOUT TOUCH
  • LIVE DETECTION (BLINK DETECTION)

VERSION OF PYTHON

FEATURE API python3.7 SERVER python3.8

TIPS

  • weight document already include
  • path may need to change (relative path is in used, normally not necessary to change)
  • image needs be prepared by yourself (upload or use API.py to take pictures)
  • image should be square and use same clear light
  • API.py can cut a almost square
square = self.image[210:210+400,450:450+380] # change this line to get perfect square
  • requirement.txt is ready and I suggest you to install in your virtual environnement
pip install requirements.txt # to get all package (some package is not necessaire)

HOW TO RUN

python API.py [--user]

STAR

RESULT

FHE

STAR

FACENET

STAR STAR

Owner
liziyu0104
liziyu0104
GitHub Repository
Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks

PWLQ Updates 2020/07/16 - We are working on getting permission from our institution to release our source code. We will release it once we are granted

54 Dec 15, 2022
TANL: Structured Prediction as Translation between Augmented Natural Languages

TANL: Structured Prediction as Translation between Augmented Natural Languages Code for the paper "Structured Prediction as Translation between Augmen

98 Dec 15, 2022
NEG loss implemented in pytorch

Pytorch Negative Sampling Loss Negative Sampling Loss implemented in PyTorch. Usage neg_loss = NEG_loss(num_classes, embedding_size) optimizer =

Daniil Gavrilov 123 Sep 13, 2022
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch

Memformer - Pytorch Implementation of Memformer, a Memory-augmented Transformer, in Pytorch. It includes memory slots, which are updated with attentio

Phil Wang 60 Nov 06, 2022
Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems.

CottonWeeds Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems. requirements pytorch torchsumma

Dong Chen 8 Jun 07, 2022
PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" [arXiv 2022].

Smooth ReLU in PyTorch Unofficial PyTorch reimplementation of the Smooth ReLU (SmeLU) activation function proposed in the paper Real World Large Scale

Christoph Reich 10 Jan 02, 2023
Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.

Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions

Gautam J 1 Jan 01, 2022
Implementation of Convolutional LSTM in PyTorch.

ConvLSTM_pytorch This file contains the implementation of Convolutional LSTM in PyTorch made by me and DavideA. We started from this implementation an

Andrea Palazzi 1.3k Dec 29, 2022
Clean Machine Learning, a Coding Kata

Kata: Clean Machine Learning From Dirty Code First, open the Kata in Google Colab (or else download it) You can clone this project and launch jupyter-

Neuraxio 13 Nov 03, 2022
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019) Introduction Official implementation of Adaptive Pyramid Context Network

21 Nov 09, 2022
《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

The Most Important Thing. Our code is developed based on: LXMERT: Learning Cross-Modality Encoder Representations from Transformers

53 Dec 16, 2022
Machine Learning automation and tracking

The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea

873 Jan 04, 2023
Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers.

Less is More: Pay Less Attention in Vision Transformers Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers. By

73 Jan 01, 2023
Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).

DeepMTA_PyTorch Officical PyTorch Implementation of "Dynamic Attention-guided Multi-TrajectoryAnalysis for Single Object Tracking", Xiao Wang, Zhe Che

Xiao Wang（王逍） 7 Dec 03, 2022
Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

FFD Source Code Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face M

88 Nov 22, 2022
A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required.

Fluke289_data_access A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required. Created from informa

3 Dec 08, 2022
You Only 👀 One Sequence

You Only 👀 One Sequence TL;DR: We study the transferability of the vanilla ViT pre-trained on mid-sized ImageNet-1k to the more challenging COCO obje

Hust Visual Learning Team 666 Jan 03, 2023
A Real-World Benchmark for Reinforcement Learning based Recommender System

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System RL4RS is a real-world deep reinforcement learning recommender system

121 Dec 01, 2022
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

AdderNet: Do We Really Need Multiplications in Deep Learning? This code is a demo of CVPR 2020 paper AdderNet: Do We Really Need Multiplications in De

HUAWEI Noah's Ark Lab 915 Jan 01, 2023
Crossover Learning for Fast Online Video Instance Segmentation (ICCV 2021)

TL;DR: CrossVIS (Crossover Learning for Fast Online Video Instance Segmentation) proposes a novel crossover learning paradigm to fully leverage rich c

Hust Visual Learning Team 79 Nov 25, 2022