Skip to main content

She knows a good alignment when she sees one

Project description

miss-alignment

License PyPI Python Version CI codecov

Installation

Installation is limited at the moment to a specific python, CUDA, and torch version. This might be fixed at some point in the future. For now, its easiest to set everything up in a conda environment.

First create an environment called miss-alignment with cuda-toolkit 12.9 and activate it:

conda create –n miss-alignment –c conda-forge python=3.11 cuda-toolkit=12.9 –y
conda activate miss-alignment

We need to fix some GPU dependencies for accelerated reconstruction:

python -m pip install torch==2.8.0 numpy
python -m pip install torch-projectors --index-url https://warpem.github.io/torch-projectors/cu129/simple/

Finally install miss-alignment with this command:

python -m pip install miss-alignment

Check that the CLI shows up with:

miss-alignment --help

How to run?

See the docs/ folder for some barebones instructions. This will be improved soon.

Changelog

A full list of changes per release is available on the GitHub Releases page.

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

miss_alignment-0.1.5.tar.gz (26.3 MB view details)

Uploaded Source

Built Distribution

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

miss_alignment-0.1.5-py3-none-any.whl (63.0 kB view details)

Uploaded Python 3

File details

Details for the file miss_alignment-0.1.5.tar.gz.

File metadata

  • Download URL: miss_alignment-0.1.5.tar.gz
  • Upload date:
  • Size: 26.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for miss_alignment-0.1.5.tar.gz
Algorithm Hash digest
SHA256 3423df2d69fe1fd5cea1c15417e93bd1fb357642fcc2ac8f4007d7b28ff4b170
MD5 085943e888662b867ec482db80a5c15d
BLAKE2b-256 45001476217462e4e969f954a8a71746bfe96303d3a0a3c6f0f7984959a39bc6

See more details on using hashes here.

Provenance

The following attestation bundles were made for miss_alignment-0.1.5.tar.gz:

Publisher: ci.yml on warpem/miss-alignment

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file miss_alignment-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: miss_alignment-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 63.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for miss_alignment-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 36d446fb2e969775fe9a7eed29368f35aa134120baf94a532ad29becdc7cd8a0
MD5 9af578993dbfe373b30e91059a59a29b
BLAKE2b-256 07249f84f60c8fd23221e2a4bb54fb46f5a5be871c01a4c8206880a8e26a3d8a

See more details on using hashes here.

Provenance

The following attestation bundles were made for miss_alignment-0.1.5-py3-none-any.whl:

Publisher: ci.yml on warpem/miss-alignment

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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