Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 6 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.9%) to scientific vocabulary
Repository
Image registration using discrete Fourier transform.
Basic Info
Statistics
- Stars: 262
- Watchers: 13
- Forks: 70
- Open Issues: 23
- Releases: 2
Metadata Files
README.md
imreg_dft
Project status
imreg_dft has reached a stable state.
This means that although you won't see many commits, the project is not dead, there are just no outstanding issues and people are not complaining.
Addition of some nice-to-have features is planned in Q3/2017.
Until then, I will spend time on the Argbash project - you might want to check it out if you write shell scripts.
Overview
Image registration using discrete Fourier transform.
Given two images, imreg_dft can calculate difference between scale, rotation and position of imaged features.
Given you have the requirements, you can start aligning images in about five minutes!
Check the documentation on readthedocs.org (bleeding-edge) or pythonhosted.org (with images).
If you are a part of the education process that has something to do with phase correlation (doesn't matter whether you are a student or a teacher), the ird-show utility that is part of the imreg_dft project can help you understand (or explain) how the phase correlation process works.
If you are a researcher and you are having problems with the method on your data, you can use ird-show to find out what causes your problems quite easily.
Features
- Image pre-processing options (frequency filtration, image extension).
- Under-the-hood options exposed (iterations, phase correlation filtration).
- Visualization of various stages of the image registration (so you can more easily find out how it works or what went wrong).
- Command-line interface for image registration (
ird- text output and/or image output), for image transformation (ird-tform, cooperates withird) and inspection (ird-show). - Documented Python API with examples.
- Permissive open-source license (3-clause BSD).
Project facts
- The project is written in pure Python.
- Essentially requires only
numpyandscipy(RHEL7-safe). - Includes quickstart documentation and example data files.
- Per-commit tests and documentation (see badges under the heading).
- Originally developed by Christoph Gohlke (University of California, Irvine, USA)
- Currently developed by Matěj Týč (Brno University of Technology, CZ)
Owner
- Name: Matěj Týč
- Login: matejak
- Kind: user
- Location: Brno
- Company: Red Hat
- Repositories: 42
- Profile: https://github.com/matejak
GitHub Events
Total
- Watch event: 26
- Fork event: 5
Last Year
- Watch event: 26
- Fork event: 5
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Matěj Týč | m****c@g****m | 148 |
| Matěj Týč | m****j@c****z | 7 |
| Arve Seljebu | a****u@g****m | 2 |
| Andrey Aristov | a****v@p****r | 2 |
| Christoph Gohlke | c****e@u****u | 1 |
| Matej Tyc | b****a@M****n | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 42
- Total pull requests: 8
- Average time to close issues: 4 months
- Average time to close pull requests: 5 months
- Total issue authors: 25
- Total pull request authors: 6
- Average comments per issue: 1.21
- Average comments per pull request: 1.63
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- matejak (18)
- eharbitz (1)
- arichmondphoto (1)
- cena001plus (1)
- dregula (1)
- garnyt (1)
- daidaiworm (1)
- skarlant001 (1)
- arve0 (1)
- loomcode (1)
- cs16s027 (1)
- kwankong (1)
- HazenBabcock (1)
- garikhgh (1)
- jlshin (1)
Pull Request Authors
- arve0 (3)
- maweigert (1)
- EveCharbie (1)
- cgohlke (1)
- aaristov (1)
- GCBallesteros (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 1,602 last-month
-
Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 19
(may contain duplicates) - Total versions: 7
- Total maintainers: 1
pypi.org: imreg_dft
Image registration utility using algorithms based on discrete Fourier transform (DFT, FFT)
- Homepage: https://github.com/matejak/imreg_dft
- Documentation: https://imreg_dft.readthedocs.io/
- License: BSD
-
Latest release: 2.0.0
published about 10 years ago
Rankings
Maintainers (1)
conda-forge.org: imreg_dft
- Homepage: https://github.com/matejak/imreg_dft
- License: BSD
-
Latest release: 2.0.0
published almost 8 years ago
Rankings
Dependencies
- numpy >=1.7
- pillow *
- scipy >=0.12
- setuptools >=1.0
- Sphinx >=1.3