downsampling

XAI - An eXplainability toolbox for machine learning

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

Bicubic interpolation for images (Python)

A library for real-time voice processing in web browsers

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

PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images

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

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

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

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

Simple sinc interpolation in PyTorch.

Native bindings to libsamplerate

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

Gaussian/Laplacian Pyramids OpenCV

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

A moiré-free image resizing script for Photoshop

Collect data from Prometheus and downsampling

The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.

Created algorithm in C to detect and highlight best image match with template (2 px accuracy) using pixelwise brute force. The algorithm is optimized by 16x to take less than 5 seconds per image-template pair on i7 processor by down-sampling.

Helpful solution to reduce image size.