An automated facial recognition based attendance system (desktop application)

Last update: Jun 21, 2022

Overview

Facial_Recognition_based_Attendance_System

An automated facial recognition based attendance system (desktop application)

Made using Python, Tkinter and OpenCV. It has a leave application system inbuilt. Facial biometrics of new users can be added seamlessly. Generates pay slips and attendance reports. Face ID Login implemented in order to perform any task.

Owner

GitHub Repository

Dataset Condensation with Contrastive Signals

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The tool under this branch fork can be used to crack devices above A12 and up to A15. After cracking, you can also use SSH channel strong opening tool to open SSH channel and activate it with Demo or Shell script. The file can be extracted from my Github homepage, and the SSH channel opening tool can be extracted from Dr238 account.

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[email protected]"> 66 Nov 23, 2022

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5.7k Jan 09, 2023

An automated facial recognition based attendance system (desktop application)

Related tags

Overview

Facial_Recognition_based_Attendance_System

Owner

Dataset Condensation with Contrastive Signals

A collection of implementations of deep domain adaptation algorithms

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

Code for the paper "Multi-task problems are not multi-objective"

DenseNet Implementation in Keras with ImageNet Pretrained Models

[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"

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Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

MM1 and MMC Queue Simulation using python - Results and parameters in excel and csv files

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

CVPR 2021

“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)

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Tech Resources for Academic Communities

[ICCV 2021] Relaxed Transformer Decoders for Direct Action Proposal Generation

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Coursera - Quiz & Assignment of Coursera

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.