nyakasko
Computer Science MSc student at Aalto University(FI) and Eötvös Loránd University(HU) with an Electrical Engineering BSc from Óbuda University(HU)
Budapest
Pinned Repositories
AnomalyDetection
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.
ComputerVision-RANSAC
Fit RANSAC lines on edge detected images - Sequential RANSAC
homography_estimation
Feature matching (SIFT) between two images and then applying normalized linear homography estimation, robustified by standard RANSAC
icp_tricp
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
ImageAndVideoAnalysis
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
ImageFiltersAndUpsampling
Various image filters and Guided Joint bilateral filter for guided image upsampling
LO-RANSAC-3DPlaneFitting
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
ObjectAndKeypointDetection
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.
stereo_reconstruction
Estimating the fundamental and essential matrices of input stereo images, and then reconstructing the 3d points by triangulation.
ZED_2_change_detection
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.
nyakasko's Repositories
nyakasko/icp_tricp
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
nyakasko/ImageFiltersAndUpsampling
Various image filters and Guided Joint bilateral filter for guided image upsampling
nyakasko/LO-RANSAC-3DPlaneFitting
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
nyakasko/ZED_2_change_detection
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.
nyakasko/homography_estimation
Feature matching (SIFT) between two images and then applying normalized linear homography estimation, robustified by standard RANSAC
nyakasko/ObjectAndKeypointDetection
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.
nyakasko/stereo_reconstruction
Estimating the fundamental and essential matrices of input stereo images, and then reconstructing the 3d points by triangulation.
nyakasko/ComputerVision-RANSAC
Fit RANSAC lines on edge detected images - Sequential RANSAC
nyakasko/ImageAndVideoAnalysis
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
nyakasko/AnomalyDetection
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.
nyakasko/darknet
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
nyakasko/StereoMatching
Disparity image creation with naive and dynamic programming approaches and 3D pointcloud generation from the disparity image
nyakasko/automatic_scripts
nyakasko/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
nyakasko/zed-examples
ZED SDK Example projects
nyakasko/zed-opencv
ZED SDK interface sample for OpenCV
nyakasko/zed-pcl
ZED SDK interface sample for PCL, the Point Cloud Library
nyakasko/zed-pytorch
3D Object detection using the ZED and Pytorch
nyakasko/zed-tensorflow
3D Object detection using the ZED and Tensorflow