rytisss/Pixel-level-Pavement-Defects-Segmentation-Based-on-Various-Loss-Functions

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Created almost 5 years ago
Updated almost 3 years ago

rytisss/Pixel-level-Pavement-Defects-Segmentation-Based-on-Various-Loss-Functions

rytisss

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Improved Pixel-level Pavement Defects Segmentation Based on Various Loss Functions

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.

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

DL-defect-classification-with-CAM-output

Repository for the code from IDAACS'2023 conference article 'Defects localization in images using deep learning-based classification with CAM output'

Jupyter Notebook

ImGUIPictureViewer

Semi-open [at this moment] library for interactive picture viewer development.

RP2_sn754410ne_motor_control

Generic class for DC motor control with SN754410NE written in MicroPython

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 :)