raman-processing
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: NoaVidovic
- Language: Jupyter Notebook
- Default Branch: main
- Size: 8.89 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Usage
To run the get_spectrum script, either create a virtual environment using the provided environment file (conda env create -p venv -f environment.yml; conda activate ./venv) or simply run it using a modern version of Python with OpenCV, Numpy and Scipy installed.
The script is called as such: python get_spectrum.py X, where X is the filename of the image you wish to process.
The script will make a .csv file with the fitted wavenumbers, raw spectrum, background fit and subtracted spectrum (raw minus background).
By default, the reference spectrum is to be located at data/sapphire_ref_cm++.txt with respect to the script.
This can be changed by opening the script with a text editor and modifying the REFERENCE_PATH variable.
Owner
- Login: NoaVidovic
- Kind: user
- Repositories: 3
- Profile: https://github.com/NoaVidovic
Citation (CITATION.cff)
cff-version: 1.1.0 message: "If you use this software, please cite it as below." authors: - family-names: Noa given-names: Vidović orcid: https://orcid.org/0009-0001-5581-9887 title:NoaVidovic/raman-processing: Raman Spectrum Processing version: v0.0.1 date-released: 2024-12-14
GitHub Events
Total
- Release event: 1
- Public event: 1
- Push event: 1
- Create event: 1
Last Year
- Release event: 1
- Public event: 1
- Push event: 1
- Create event: 1
Dependencies
- jupyter
- matplotlib
- opencv
- pandas
- scipy