Face recognize system

Last update: Nov 18, 2021

Related tags

Deep Learning Face_recognize_system

Overview

FRS

Face_recognize_system

This project contains my work that target on solving some problems of FRS:

Face detection: Retinaface
Face anti-spoofing: Fourier transform
Face embedding: Insightface
Face quality: EQface

Installation

Install my-project with CPU device

  $ pip install -r requirements-cpu.txt

Install my-project with GPU device

  $ pip install -r requirements-gpu.txt

Pretrained model

Download and unzip folder in Link

Test

  python main.py

Owner

Tran Anh Tuan

GitHub Repository

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Face recognize system

Related tags

Overview

FRS

Face_recognize_system

Installation

Pretrained model

Test

Owner

Tran Anh Tuan

[peer review] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided curriculum Learning Approach

Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay

Learning to Stylize Novel Views

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Semantic Image Synthesis with SPADE

Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

Reference PyTorch implementation of "End-to-end optimized image compression with competition of prior distributions"

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PyTorch implementation of Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction (ICCV 2021).

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A NSFW content filter.

some academic posters as references. May we have in-person poster session soon!

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Sharpness-Aware Minimization for Efficiently Improving Generalization