Skip to main content

Shift 2D/3D images by phase shifting Fourier transforms in PyTorch

Project description

torch-phase-shift

License PyPI Python Version CI codecov

torch-fourier-shift is a package for shifting 1D, 2D and 3D images with subpixel precision by applying phase shifts to Fourier transforms in PyTorch.

A 2D image and the shifted result

import torch
from torch_fourier_shift import fourier_shift_image_2d

# create a dummy image
my_image = torch.tensor(
    [[0, 0, 0, 0, 0, 0],
     [0, 1, 0, 0, 0, 0],
     [0, 0, 0, 0, 0, 0],
     [0, 0, 0, 0, 0, 0],
     [0, 0, 0, 0, 0, 0],
     [0, 0, 0, 0, 0, 0]]
)

# shift the image by 1 pixel in dim 0, 2 pixels in dim 1
shifted_image = fourier_shift_image_2d(image=my_image, shifts=torch.tensor([1, 2]))

API's are equivalent for 1D and 3D images.

Installation

torch-fourier-shift is available on PyPI.

pip install torch-fourier-shift

Usage

Please check the the docs at teamtomo.org/torch-fourier-shift

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

torch_fourier_shift-0.5.2.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

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

torch_fourier_shift-0.5.2-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file torch_fourier_shift-0.5.2.tar.gz.

File metadata

  • Download URL: torch_fourier_shift-0.5.2.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for torch_fourier_shift-0.5.2.tar.gz
Algorithm Hash digest
SHA256 1576a622bdfe552ab2b4411020a1835e91212738db5f3323647d5e40e2ffe72c
MD5 96f55ac1048827ccab492fa62dff5b34
BLAKE2b-256 6057412768792e72ced6c0147d928870e487f42a660e64cc79f2cb2eee84aace

See more details on using hashes here.

Provenance

The following attestation bundles were made for torch_fourier_shift-0.5.2.tar.gz:

Publisher: deploy.yml on teamtomo/teamtomo

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

File details

Details for the file torch_fourier_shift-0.5.2-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_fourier_shift-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bd3e410963499448a786f8228cf59d363d51df4d70a655981f2e91289ca9083e
MD5 7605904507da9632dd1f416edbd05b52
BLAKE2b-256 e5db42d0d6916245bf2e03300f2c9cf256cdd9ea7286c7b1cf902ff4bf368b1b

See more details on using hashes here.

Provenance

The following attestation bundles were made for torch_fourier_shift-0.5.2-py3-none-any.whl:

Publisher: deploy.yml on teamtomo/teamtomo

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