An experimental webGPU glyph compositor demonstration in Futhark
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Updated
Feb 5, 2026 - TypeScript
An experimental webGPU glyph compositor demonstration in Futhark
A hands-on playground for Pattern Recognition — exploring edges, boundaries, and dimensions with Python. From Canny curves to PCA plots, this repo turns theory into experiments you can see.
A C-based algorithmic tool that renders a hollow triangular pattern by calculating boundary coordinates and managing dynamic internal void spacing.
Foreground boundary detection with Deep Layer Aggregation
This project involves developing a simplified boundary detection algorithm that combines texture, brightness, and color gradients with classical edge detection methods like Sobel and Canny. The final boundary map is generated by fusing these feature gradients with traditional edge detection methods for more robust and accurate edge detection.
Boundary detection for self-driving cars using U-Net
A fast, unsupervised video segmentation tool using PyTorch. It detects action boundaries via feature similarity and refines segments with clustering, requiring no training or labels.
🔍 Visualize React's `'use client'` boundaries with clear indicators, enhancing your code clarity and improving your development workflow.
An interpretable region-based pattern mining system that incrementally maps LHS feature space to RHS distributions via grid partitioning, clustering, and boundary co-optimization.
image segmentation workflow for Phenome Force 2021
Boundary detection using Probability of Boundary || Implementation and analysis of deep learning architectures such as ResNet, DenseNet, etc.
Projects developed as a part of Computer Vision and Image Processing
This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.
Motion based object tracking & boundary prediction using MATLAB
This is a MATLAB demo to elaborate the idea of boundary tracing objects in image using directional gradients
we will extract the brain boundaries from the resting state functional magnetic resonance imaging (rs-fMRI) scans
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