compressors 0.0.4

compressors

Compressors

Compressors is a library of containing flexible implementations of state-of-the-art compression systems.

Compressors is early in development, but aims to include:

• Lossless compression systems, which can be used standalone or as part of a lossy compression system.
• Energy compacting transforms like the DCT, MCDCT, Wavelet transforms, and Wavelet packet transform.
• Differentiable soft quantizers for learned compression
• DNN autoencoder building blocks for standard modalities such as stereo audio, and RGB image/video
• DNN autoencoder building blocks for arbitrary signal shapes and dimensions, allowing users to easily create codecs for non-standard inputs (spatial audio arrays, hyperspectral images, 3d volumes, etc)
• End-to-end codec pipelines that combine the above techniques
• Conventional distortion metrics (e.g. PSNR, SSIM) for training and evaluation
• DNN-based distortion metrics (e.g. LPIPS, DISTS) for training and evaluation
• Tools for creating machine-oriented codecs, which can be optimized for downstream applications in addition to one or more distortion metrics

Package

• Python package: pip install compressors