The repo proposes a pipeline for indoor mapping by use of 3D meshes from MVS RGB images and conversion into point clouds for segmentation.

Use case: A portable and automated workflow, to be run on demand. Functionalities: Workflow extracted and read data from a given SQL server instance. Prompt input for location of Excel file to write on. Segmentation and aggregations, given conditions. Ran a developed macro in VBA, verifying the workflow output.

This repository contains a collection of computer vision projects implemented using PyTorch. I developed it for the purpose of learning and practicing computer vision concepts and techniques, and acquiring hands-on experience with PyTorch.

🏥 java 8 swing application to view computed tomography scanned medical images

[BMVC 2022] SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features

The purpose of this repository is to provide good insight to the Pytorch practitioner, especially for the newbie.

Predict the type and localise the defect using Image Segmentation

This repo hosts the PyTorch dataloader for FewSOL dataset

Baidu Tieba spider, word segmentation and wordcloud

My take on card localization and classification

# Using technology of computer vision to classify clouds.

Implementation of U_Net architecture for medical image segmentation purpose.

all-in-in and easiest module to import // yolov5*, yolov8* //tracking bodypose, detection, instance segmentations

DeepLab v3+ model in PyTorch. Support different backbones.

Marketing in a Digital World - Implications of Internet Core Trends for TV Advertising

Continual Learning for Medical Image Segmentation

A collection of scripts to create an audio data-set with energy based segmentation.

✨Image Segmentation Detection Competition(AI BoostCamp Proejct) ✅ COCO dataset ✅ LB: 9등, 4등

Bank Customer Segmentation and Insurance Claim Prediction - The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest, Artificial Neural Network are used to draw inferences from these case studies. Various performance metrics have been used to validate the pe…