photoelastimetry

Package for processing polarised images to measure stress in granular media.

Install

pip install photoelastimetry

CLI Tools

image-to-stress
stress-to-image
demosaic-raw
calibrate-photoelastimetry

Run --help on each command for usage.

Documentation

Full docs: https://benjym.github.io/photoelastimetry/
User docs (workflows/config): docs/user/
Developer docs (setup/tests/architecture): docs/developer/
API reference: docs/reference/

Fastest Local Example

stress-to-image forward.json5
image-to-stress inverse.json5

For complete runnable examples, use docs/user/quickstart.md and workflow pages under docs/user/workflows/.

Development

pip install -e ".[dev,docs]"
pytest
mkdocs build --strict

Contributor guidance is maintained in docs/developer/.

Metadata

Release files for photoelastimetry 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for photoelastimetry 0.6.0
File	Size	Uploaded
photoelastimetry-0.6.0.tar.gz	82.3 kB	Feb 13, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for photoelastimetry 0.6.0
File	Interpreter	ABI	Platform	Reset
photoelastimetry-0.6.0-py3-none-any.whl 64.1 kB Feb 13, 2026	Python 3	none	any	Details

Total release size: 146.4 kB

Release files / photoelastimetry-0.6.0.tar.gz

Download URL	photoelastimetry-0.6.0.tar.gz
Size	82.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`efca9b98160ea896c4b81827fb650d4e58adb8c6a89116073b74b4ff05e77297`
BLAKE2b-256 checksum How to use checksums	`7fa00aad2e304db580abb63f28f361acb5013135a8313ad23f2b539b9cbe40f1`
Upload date	Feb 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/benjym/photoelastimetry
Publishing commit: github.com/benjym/photoelastimetry/tree/3d12c525d870d6f5cfbf6d471d654b73cb6ad54a

Workflow

Publishing configuration: github.com/benjym/photoelastimetry/blob/3d12c525d870d6f5cfbf6d471d654b73cb6ad54a/.github/workflows/pypi.yml
Publishing logs: github.com/benjym/photoelastimetry/actions/runs/22000368401/attempts/1

Artifact

Subject: photoelastimetry-0.6.0.tar.gz
SHA-256 checksum: efca9b98160ea896c4b81827fb650d4e58adb8c6a89116073b74b4ff05e77297 Verifying attestations

Release files / photoelastimetry-0.6.0-py3-none-any.whl

Download URL	photoelastimetry-0.6.0-py3-none-any.whl
Size	64.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5a542bb59736567ded7aa5580b62957e87d6e27f8bc36b633f26df10f0fca37b`
BLAKE2b-256 checksum How to use checksums	`cd3602d99e98bc98f60183c775b0d297860db2e920be1dd2dd178eaec59b7e7f`
Upload date	Feb 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/benjym/photoelastimetry
Publishing commit: github.com/benjym/photoelastimetry/tree/3d12c525d870d6f5cfbf6d471d654b73cb6ad54a

Workflow

Publishing configuration: github.com/benjym/photoelastimetry/blob/3d12c525d870d6f5cfbf6d471d654b73cb6ad54a/.github/workflows/pypi.yml
Publishing logs: github.com/benjym/photoelastimetry/actions/runs/22000368401/attempts/1

Artifact

Subject: photoelastimetry-0.6.0-py3-none-any.whl
SHA-256 checksum: 5a542bb59736567ded7aa5580b62957e87d6e27f8bc36b633f26df10f0fca37b Verifying attestations