downsampling

XAI - An eXplainability toolbox for machine learning

Domain Elastic Transform / Bayesian Coherent Point Drift

A library for real-time voice processing in web browsers

High-performance time series downsampling algorithms for visualization

Bicubic interpolation for images (Python)

Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.

PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images [ICLR 2022]

An Elixir downsampling library that retains the visual characteristics of your data

MinMax-preselection for Efficient Time Series Line Chart Visualization (using LTTB)

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Extended AsyncImage to perform down sampling when downloading image

Ansible role to setup downsampling with continuous queries on influxDB, optionally with backfilling and compaction of existing raw data.

An algorithm that decimates a curve composed of line segments to a similar curve with fewer points.

Simple sinc interpolation in PyTorch.

The demo demonstrates downsampling images technique on the example of a UICollectionView based gallery with prefetching data.

Pointcloud-based frontier exploration using ROS, PCL and C++.

A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.

Music spectrum analyzer implemented on a 7-series FPGA with novel DSP algorithms written in VHDL to accurately bin piano keys to frequency ranges and display in real-time

MinMaxLTTB and clasical LTTB algorithms for downsampling of timeseries for visualization