vishwa1718's Stars
PriyankaJhaTheAnalyst/DataAnalystPortfolioProjects
This repository contains my Data Analytics portfolio projects ranging from SQL, Python, Tableau, Excel, and Hadoop (HiveQL).
sourabhv/FlapPyBird
A Flappy Bird Clone using python-pygame
610265158/Peppa_Pig_Face_Landmark
A simple face detect and alignment method, which is easy and stable.
VIS-VAR/LGSC-for-FAS
Learning Generalized Spoof Cues for FaceAnti-spoofing
xionghc/Facial-Expression-Recognition
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
yaojieliu/ECCV20-STDN
Source code for ECCV 2020 paper: On Disentangling Spoof Trace for Generic Face Anti-Spoofing
hamuchiwa/AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
KingArnaiz/Object-Detection-Tutorial
anand498/Face-Liveness-Detection
Application to detect between actual faces and fake faces in realtime with Computer Vision and Deep Learning
intel/libxcam
libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.
vishwa1718/Face_Anti_Spoofing
siyamdumisa/SpoofingDetection
Anti-spoofing system that detect attempt of illegal individuals using face image printouts, 3D Mask, and replay attack
deepcam-cn/Face-Anti-spoofing.pytorch
Train code of face anti-spoofing with a single RGB frame
nvlong21/face_anti_spoofing
Mobilenet for Face Anti Spoofing
Podidiving/lgsc-for-fas-pytorch
Learning Generalized Spoof Cues for FaceAnti-spoofing reimplementation in pytorch
SeuTao/FaceBagNet
FaceBagNet - Patch-based Methods for Multi-modal Face Anti-spoofing (FAS)
AlexanderParkin/ChaLearn_liveness_challenge
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
xuanjihe/speech-emotion-recognition
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
developedbyed/glass-website
juan-csv/face_liveness_detection-Anti-spoofing
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
souhaiel1/AI-powered-surveillance-using-raspberry-pi
this projet aims to automate surveillance using the Raspberry Pi computer and its camera module . This project was inspired by other older works and it's a push towards the AI-powered surveillance as computer vision and IoT are strongly emerging. The main focuses of this project are efficiency and accuracy .
Karthikram398/Smart_surveillance_robot
ShivamK30/Military-Surveillance-Robot
utisolichah/mobile_robot_surveillance
Preliminary Study on Movement Controls and Data Streaming in Mobile Robot Surveillance
codinggrace/text_based_adventure_game
Learn Python making a text-based adventure game
shivang8/Secure-File-Storage-Using-Hybrid-Cryptography
A secure platform for storing of files using Hybrid Cryptography
clks-wzz/FAS-SGTD
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
praja1/Credit-card-fraud-detection-system
In this project, proposed a system that detect a fraud in credit card transactions. In recent time, digitization is increasing day to day. Many people is using digital money instead of hard money. So, here comes the fraud system. Credit card companies shall be able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. Using a dataset of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the two algorithms Local Outlier Factor (LOF) and Isolation Forest Algorithm.
rohitsurthi/Toknect
Toknect is simple and easy to use android chat application with additional features of making friends.