This project provides a solution for correcting the refraction effects in OVROLWA images. It is designed to work with a range of frequencies and supports various image file types.
- Frequency Support: Handles a wide range of frequencies specified in MHz.
- Normalization: Supports both logarithmic and standard normalization for image processing.
- File Type Support: Compatible with multiple image file types for input and output.
- Spectral Mode: Allows for different modes of spectral analysis.
- Correction Parameters: Utilizes radio frequency interference correction parameters for image correction.
- Contour Drawing: Option to draw contours on images for enhanced analysis.
- Dual Panel Display: Supports displaying images in a dual-panel mode for comparative analysis.
- Version Control: Automatically fetches the latest version of correction parameters.
- Flexible Time Difference Tolerance: Configurable tolerance for time difference in image timestamps.
To set up this project, ensure you have Python and pip installed on your system. Then, run the following command to install the required dependencies:
pip install -r requirements.txtTo use the image correction pipeline, run the main script with the necessary arguments. Here is an example command:
python img_corr_pipeline.py --mode <mode> --freq <frequency> --filetype <file_type> --specmode <spectral_mode> --norm <normalization> --docorr <do_correction> --workdir <working_directory> --alpha <alpha_value> --minpercent <minimum_percentage> --draw_contours <draw_contours> --fov <field_of_view> --dual_panel <dual_panel> --get_latest_version <get_latest_version> --timediff_tol <time_difference_tolerance> --rfrcor_parm_files <rfrcor_parm_files_path> --interp_method <interpolation_method> --overwrite <overwrite>Replace the placeholders with your specific configurations.
Contributions to this project are welcome. Please fork the repository, make your changes, and submit a pull request.
This project is licensed under the MIT License