S

segmentation

Ultralytics YOLO 🚀

This is a project to train, use and analyze 2D and 3D neural networks for segmentation.

Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.

Covid-Net based network, reproducibility experiment applied to CRX images for covid detection and classification

DBSCAN clustering based on the kd-tree search

Typesetting TEI xml Compliant Critical Editions (See http://www.ekdosis.org)

Implementazione di GraphCut un algoritmo per la segmentazione di immagini basato su grafi

Machine Learning - Regression Problem

piecewise constant approximation of graph-structured data along geometric primitives

Image Processing done in subject VBA(Vision Based Automation)

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

Multimodal Brain Tumor Segmentation (BRATS) Challenge 2019

Training of deep networks for medical image segmentation tasks Network and training strategy that relies on the strong use of data augmentation