Skip to main content

A Full-Stack Python based library for working with acoustic fields for holgraphy

Project description

AcousTools

A Full-Stack Python based library for working with acoustic fields for holgraphy. Developed using PyTorch, AcousTools uses PyTorch Tensors to represent points, acoustic fields and holograms to enable development of new algorithms, applications and acoustic systems. As a full-stack solution, Acoustools is able to implement each stage of development making it a single point of call.

See Here for examples of code using AcousTools. The Preprint of AcousTools can be found on arXiv


Table of Contents

Installation

Optionally create a virtual environment to install AcousTools into
Optionally install the correct version of PyTorch

Run

pip install acoustools

Or visit AcousTools' on PyPi

Local Installation

Clone the repo and then run

pip install -r <path-to-clone>/requirements.txt
pip install -e <path-to-clone>/acoustools/ --config-settings editable_mode=strict

Use python<version> -m before the above commands to use a specific version of python.

where <path-to-clone> is the local location of the repository

Documentation

Documentation can be seen Here

Or to view the documentation for AcousTools locally, firstly install pdoc:

pip install pdoc

Then run pdoc on AcousTools to create a locally hosted server containing the documentation

python -m pdoc <path-to-clone>/acoustools/ --math

See Here for examples of code using AcousTools.

AcousTools Basics

AcousTools represents data as torch.Tensors. A point is represented as a tensor where each column represents a (x,y,z) point. Groups of points can also be grouped into batches of points for parallel computation and so have a shape (B,3,N) for B batches and N points.

Ultrasound waves can be focused by controlling many sources such that at a given point in space all waves arrive in phase and therefore constructivly interfere. This can be done in a number of ways (acoustools.Solvers). This allows for applications from high speed persistance-of-vision displays to haptic feedback and non-contact fabrication.

License

acoustools is distributed under the terms of the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acoustools-1.0.4.tar.gz (190.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acoustools-1.0.4-py3-none-any.whl (95.7 kB view details)

Uploaded Python 3

File details

Details for the file acoustools-1.0.4.tar.gz.

File metadata

  • Download URL: acoustools-1.0.4.tar.gz
  • Upload date:
  • Size: 190.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.4

File hashes

Hashes for acoustools-1.0.4.tar.gz
Algorithm Hash digest
SHA256 b89efd02ad37cca3da79761d64573f407a0b48254eaf705150a9be4e05c3901a
MD5 2da549ceb589755f0533fb10507d2ce1
BLAKE2b-256 f49d3ab9c8a5554151ad55857213212a3407bf35336b3df06a6f225b655fa4ae

See more details on using hashes here.

File details

Details for the file acoustools-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: acoustools-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 95.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.4

File hashes

Hashes for acoustools-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 68b36c8a844d8101aa5f1ef8c7aff1f4df38107553164450646f944d9a6e7dcd
MD5 1ec8ea1157fa50db748d534dc77e2be0
BLAKE2b-256 c11a842500e996eb29daf82fd82c6c9e6f6f20c6b24dd34a747546437ca0c951

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page