Name: Alessandro de Oliveira Faria (A.K.A.CABELO)
Type: User
Company: OITI TECHNOLOGIES
Bio: Professor at FIA University, Ambassador OpenSUSE Linux, Chapter Leader OWASP SP, OneAPI Innovator Intel, Founder of the openSUSE Linux INNOVATOR initiative.
Twitter: cabelo_linux
Location: Brasil
Blog: http://assuntonerd.com.br
Alessandro de Oliveira Faria (A.K.A.CABELO)'s Projects
A collection of Deep Learning projects and resources
Going from a CFA RAW format image to a full-color RGB image through the process of applying the Bayer filter and Demosaicing by interpolating the missing parts of the channels with different algorithms, in the frequency and spatial domains.
The documentation site for Luxonis DepthAI
Experimental projects we've done with DepthAI.
Detecting and segmenting and classifying materials inside mostly transparent vessels in images using a fully convolutional neural net for chemistry lab and other general setting
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🧠 DMAD - Differential Morphing Attack Detection. A project for Fundamentals of Computer Vision and Biometrics course at the University of Salerno.
The Deepfake Offensive Toolkit
Official Code for DragGAN (SIGGRAPH 2023)
Official PyTorch Implementation of DreamCatalyst
(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing."
Para onde foi o seu dinheiro?
Python scripts for TelloEDU to introduce drone swarming
Dualray dataset
Fast and easy recognition of car plate in webapi.
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
A fast and minimalist 3D viewer.
An open-source Python web app to distinguish real faces from fake ones based on live camera feed
Face Liveness Detection (Face Anti Spoofing) Server SDK
FaceSwapper, a web application that harnesses the power of computer vision to detect faces in photos and allows users to swap faces between different images.
Face recognition library which can be called from Python, integrated various useful functions.
Multiple face anti-spoofing models from github
なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモ
Github of the FaceForensics dataset
3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Face recognition using Tensorflow