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
Serial communication with Arduino under the hoof of Dear Imgui
Hello world for C++ and Python binding. All about deep learning routines to be callable from C++
CVAT label type conversion to defined label data type
Repository for the code from IDAACS'2023 conference article 'Defects localization in images using deep learning-based classification with CAM output'
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 :)
A Python library for ecg data augmentation. Useful for machine learning.
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Repository with CMake script for ImGui project setup
Semi-open [at this moment] library for interactive picture viewer development.
OpenGL3 image texture sample with manipulation features
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
Improved Pixel-level Pavement Defects Segmentation Based on Various Loss Functions
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.
Generic class for DC motor control with SN754410NE written in MicroPython
Header only configuration parser for modern C++ using nlohmann/json
Code for sound classification using convolutional neural networks
Homeworks and projects for Peter the Great St. Petersburg Polytechnic Winter School Machine Learning: Theory and Application”
Sandbox image analysis. Methods tryouts and visualizations
Description/example for TCP message request formation and response parsing
TCP socket client sample in C# to listen to neural network training events
Example how to calculate Tensorflow model floating point operations
Raspberry Pico W sandbox.
Instructions for ZoomOCR application