nyakasko Goto Github PK
Name: Levente Göncz
Type: User
Bio: Computer Science MSc student at Aalto University(FI) and Eötvös Loránd University(HU) with an Electrical Engineering BSc from Óbuda University(HU)
Location: Budapest
Name: Levente Göncz
Type: User
Bio: Computer Science MSc student at Aalto University(FI) and Eötvös Loránd University(HU) with an Electrical Engineering BSc from Óbuda University(HU)
Location: Budapest
In this assignment I have to build a reconstruction loss based anomaly detection model using tf.keras. I have to train an autoencoder to reconstruct Homer Simpson images, then use the trained model to classify Simpson and Flower images.
Fit RANSAC lines on edge detected images - Sequential RANSAC
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Feature matching (SIFT) between two images and then applying normalized linear homography estimation, robustified by standard RANSAC
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
Prewitt edge detector: gradient filter és nonmaxima-suppression (NMS), Thresholding algorithm by Otsu, Detection of circular object by edge detection and Hough transform for circles, Motion tracking of feature points and dense optical flow
Various image filters and Guided Joint bilateral filter for guided image upsampling
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
Machine Learning and Computer Vision Engineer - Technical Interview Questions
In this assignment I have to build a Mask R-CNN based keypoint detector model using Detectron2. Detectron2 was written in PyTorch and contains many state-of-the-art obejct detection models with pretrained weights.
Estimating the fundamental and essential matrices of input stereo images, and then reconstructing the 3d points by triangulation.
Disparity image creation with naive and dynamic programming approaches and 3D pointcloud generation from the disparity image
ZED SDK Example projects
ZED SDK interface sample for OpenCV
ZED SDK interface sample for PCL, the Point Cloud Library
3D Object detection using the ZED and Pytorch
3D Object detection using the ZED and Tensorflow
This code is an initial version of the change detection algorithm developed using the ZED 2 stereo camera. The program was developed by Levente Göncz at SZTAKI (Institute for Computer Science and Control) in a framework of a 4 months long project.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.