An image processing project uses Viola-jones technique to detect faces and then use SIFT algorithm for recognition.

Overview

Attendance_System

An image processing project uses Viola-jones technique to detect faces and then use LPB algorithm for recognition.

Face Detection Using Viola-Jones Algorithm

steps to implement:

  1. Calculating Integral Image
  2. integral images are used to simplify the calculations of haar like features and save time of iterating over all pixels


  3. Calculating Haar like features
  4. there are multiple types of haar feature windows, in our implementation, we used 5 types: (2 horizontal, 2 vertical, 3 horizontal, 3 vertical, 2*2 diagonal)


  5. AdaBoost Learning Algorithm
  6. Cascade Filter

Preprocessing Images

before preprocessing

output4

- image is cropped centered and resized to fit our window size(19,19)

- a gamma correction is applied to the image to enhance the detection

output3

Results 📝

Best Accuracy we got from a model trained by a training set of ( 2000 faces, 1500 non-faces) with 40 classifiers and only 1 layer of cascade classifier

test

results on image with multiple faces 👥

output2

results on realtime with only one face 👤

IMG-20220105-WA0024

How to use?

open ViolaJones/main.ipynb and run all cells

Recognition 📝

can detect most of input images

results on image 👥

output2

How to use?

make new dataset in gray images and name it with your name

save your input photo in images folder

open recognize faces.ipynb and run all cells and just type your photo name and extention in test function

For Training

  1. In the fisrt cell slice the dataset as you want (the pkl file consist of 4000 faces and 7060 non-faces)
  2. Run the second cell and wait until the model finish the training (it might take a while depending on number of training samples)
  3. after that the model is stored in file called cvj_weights-..-...-...pkl

For Testing

  1. Run the remaining cells and change the image by the one you want
  2. For realtime run the last cell that opens camera for you
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download

LuChang 9 Dec 26, 2022
Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

VQGAN-CLIP-Docker About Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized This is a stripped and minimal dependency repository for running loca

Kevin Costa 73 Sep 11, 2022
Offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation

Shunted Transformer This is the offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation by Sucheng Ren, Daquan Zhou, Shengf

156 Dec 27, 2022
Denoising Diffusion Implicit Models

Denoising Diffusion Implicit Models (DDIM) Jiaming Song, Chenlin Meng and Stefano Ermon, Stanford Implements sampling from an implicit model that is t

465 Jan 05, 2023
Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)

OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So

csuhan 64 Jan 07, 2023
Medical Image Segmentation using Squeeze-and-Expansion Transformers

Medical Image Segmentation using Squeeze-and-Expansion Transformers Introduction This repository contains the code of the IJCAI'2021 paper 'Medical Im

askerlee 172 Dec 20, 2022
A pytorch-version implementation codes of paper: "BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation"

BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation A pytorch-version implementation

11 Oct 08, 2022
Deep Learning applied to Integral data analysis

DeepIntegralCompton Deep Learning applied to Integral data analysis Module installation Move to the root directory of the project and execute : pip in

Thomas Vuillaume 1 Dec 10, 2021
Stacs-ci - A set of modules to enable integration of STACS with commonly used CI / CD systems

Static Token And Credential Scanner CI Integrations What is it? STACS is a YARA

STACS 18 Aug 04, 2022
An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow

Fast Transformer This repo implements Fastformer: Additive Attention Can Be All You Need by Wu et al. in TensorFlow. Fast Transformer is a Transformer

Rishit Dagli 139 Dec 28, 2022
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

ACSC Automatic extrinsic calibration for non-repetitive scanning solid-state LiDAR and camera systems. System Architecture 1. Dependency Tested with U

KINO 192 Dec 13, 2022
Code for the upcoming CVPR 2021 paper

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow and Michael

Niantic Labs 496 Dec 30, 2022
A Simple Key-Value Data-store written in Python

mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat

Vaidhyanathan S M 1 Jan 09, 2022
Layered Neural Atlases for Consistent Video Editing

Layered Neural Atlases for Consistent Video Editing Project Page | Paper This repository contains an implementation for the SIGGRAPH Asia 2021 paper L

Yoni Kasten 353 Dec 27, 2022
Lightweight, Python library for fast and reproducible experimentation :microscope:

Steppy What is Steppy? Steppy is a lightweight, open-source, Python 3 library for fast and reproducible experimentation. Steppy lets data scientist fo

minerva.ml 134 Jul 10, 2022
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Google Cloud Vertex AI Samples Welcome to the Google Cloud Vertex AI sample repository. Overview The repository contains notebooks and community conte

Google Cloud Platform 560 Dec 31, 2022
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (CVPR 2021, oral presentation) CoCosNet v2: Full-Resolution Correspondence

Microsoft 308 Dec 07, 2022
Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions

README Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an

Yousef Emam 13 Nov 24, 2022
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks This is a Python3 / Pytorch implementation of TadGAN paper. The associated

Arun 92 Dec 03, 2022
Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweeper.

Minesweeper-AI Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweep

Beckham 0 Jul 20, 2022