Projects for the subject on Object Detection and Segmentation of the Master in Computer Vision (UAB)
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Updated
Jun 2, 2021 - Python
Projects for the subject on Object Detection and Segmentation of the Master in Computer Vision (UAB)
Применение классических методов обработки изображений для поиска на фотографии фигур тримино и определения их маркировки.
deep learning segmentation for skin injuries
Кодирование изображений ладоней в векторное описание при помощи скелетизации исходной картинки. Последующей анализ полученных признаковых описаний с целью выявления кластерной структуры.
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in images of Pinus Taeda
This repository contains models for Multi-class disease detection using Chest X ray. A detail analysis of our approach is mentioned.
Code & data splits for the paper "S-VVAD: Visual Voice Activity Detection by Motion Segmentation" WACV 2021
Flood Segmentation on SAR [Frontiers in Remote Sensing: https://doi.org/10.3389/frsen.2022.1060144]
This is a repository for the project Detection of Polyps in Colonoscopy. We implement the pipeline for detecting and segmenting the polyps from the capsule endoscopy video feed.
This is an auto-scoring system for the game of billiards implemented with YoloV3 and OpenCV in Python
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368
OCR for recognizing Arabic text in images/ printed documents
This project was made for nails segmentation using deep learning models. __DeepLabV3Plus__ was used for segmentation problem. ResNet101 were used as encoder and imagenet weights were used as encoder weights.
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