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Rytis Augustauskas photo

rytisss Goto Github PK

followers: 9.0 following: 6.0 repos: 23.0 gists: 4.0

Name: Rytis Augustauskas

Type: User

Company: Agmis & other (this is my private account)

Bio: Software developer & PhD working with Computer Vision, AI and other stuff. Most of the time coding in C++ and Python. C# / Managed C++ as well.

Location: Kaunas, Lithuania

Rytis Augustauskas's Projects

driftcarstabilitycontrol icon driftcarstabilitycontrol

This project is dedicated to stabilize drift car steering control using Arduino and MPU6050. Stabilization is done with closed loop, using PID controller. In this case, P only :)

ecgmentations icon ecgmentations

A Python library for ecg data augmentation. Useful for machine learning.

fastest_image_pattern_matching icon fastest_image_pattern_matching

C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"

panelsdrillsegmentation icon panelsdrillsegmentation

CNN implementation of article 'Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network' by Rytis Augustauskas, Arūnas Lipnickas and Tadas Surgailis

roadpavementsegmentation icon roadpavementsegmentation

Repository for all the stuff related with road pavements defect segmentation. Main idea behind the segmentation is to create/approve/test various architectures (modification of autoencoders, such as U-Net) to find the best to do the task. Third-party library priorities: Tensorflow (with Keras frontend), OpenCV and many nifty things related to Python programming language.

spbpuwinterschool icon spbpuwinterschool

Homeworks and projects for Peter the Great St. Petersburg Polytechnic Winter School Machine Learning: Theory and Application”

tcprequestsample icon tcprequestsample

Description/example for TCP message request formation and response parsing

tf_model_flops icon tf_model_flops

Example how to calculate Tensorflow model floating point operations

zoomocr icon zoomocr

Instructions for ZoomOCR application

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