Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

unoffical and work in progress PyTorch implementation of CutPaste

Deploy Computer Vision solutions with a few lines of code.

[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Python package for Stroke Width Transform - Localizing the Text (Letters & Words) in a Natural Image

Building a GUI tool to find the right parameters visually and quickly, for various Computer Vision algorithms

A non-deep learning sky detector method

Vision Dashboard - A One-Stop CV Learning Tool

Pre-processing technique called DullRazor for the detection and removal of hairs on dermoscopic images.

A 3D environment visual simulation for UAVS. Such visual simulation is particularly useful for machine learning and computer vision techniques.

This repository details the various methods I have attempted for skin segmentation.

Omarke is a facial search algorithm that implements a binary search algorithm on a facial recognition model which efficiently identifies faces that are absent in pictures based on a dataset.

Mono repo with sinapsis templates for object tracking

A deep learning package for computer vision algorithms built on top of TensorFlow

reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]

Robot Vision routines for OpenMV

[CVPR'25] The official implementation of "GG-SSMs: Graph-Generating State Space Models"