Onkarsus13

ONKAR Susladkar's repositories

AudioText-Classififcation

Audio Aware Text Classification

Language:Python100

MPII-Humankeypoint

Human key point distribution

Language:PythonGPL-3.01 10

ActionAI

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Language:Jupyter NotebookGPL-3.0000

AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

Language:PythonCC0-1.0000

Airplane-Detection-for-Satellites

Airplanes are detected on images taken from satellite

Language:Python000

Cell-Detection

Used open cv and tensorflow for traing the images and segmented the traning and test result

Language:Python020

CoFormer-WACV-2024

Source code of "Textual Alchemy: CoFormer for Scene Text Understanding", published in WACV 2024

Language:Python000

Concept-Segmentation

Medical Imagning

Language:Jupyter Notebook000

Darklight-Pytorch

A CNN for dark recognition

Language:Python000

efficient_net_v2

Pytorch implementation of efficientnet v2 backbone with detectron2 for object detection (Just for fun)

Language:Python000

This paper first introduces a novel model, named FEEDNet, for accurately segmenting the nuclei in HE stained WSIs. FEEDNet is an encoder-decoder network that uses LSTM units and “feature enhancement blocks” (FE-blocks). Our proposed FE-block avoids the loss of location information incurred by pooling layers by concatenating the downsampled version of the original image to preserve pixel intensities. FEEDNet uses an LSTM unit to capture multi-channel representations compactly

Language:PythonNOASSERTION000