Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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Updated
Jul 5, 2024 - Python
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".
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
MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper
Vision Dashboard - A One-Stop CV Learning Tool
A non-deep learning sky detector method
A 3D environment visual simulation for UAVS. Such visual simulation is particularly useful for machine learning and computer vision techniques.
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.
Pre-processing technique called DullRazor for the detection and removal of hairs on dermoscopic images.
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
Package of Computer Vision algorithms
This repository details the various methods I have attempted for skin segmentation.
Computer Vision Playground: A development & testing space for image processing algorithms
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