acoustools 1.0.0

No project description provided

AcousTools

A 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.

---

Table of Contents

• Installation
• License
• Docs

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.