Radionets 0.3.0 (2023-07-20) (Second Paper Release)

API Changes

Fix loading of correct sampling file [#145]
- calculate nomalization only on non-zero pixels
- fix typo in rescaling operation [#149]
fixed sampling for images displayed in real and imaginary part [#152]

enabled training and evaluation of half sized images (for 128 pixel images) [#140]
Add naming to save path, so that the files do not get overwritten as easily [#144]
- Add normalization callback with two different techniques
- Update plotting routines for real/imag images
- Update evaluate_area and evaluate_ms_ssim for half images
- Add evaluate_ms_ssim for sampled images [#146]
add evaluation of intensity via peak flux and integrated flux comparison [#150]
- centered bin on 1 for histogram evaluation plots
- added color to legend [#151]
add prettier labels and descriptions to plots [#152]

Deleted unusable functions for new source types
Deleted unused hardcoded scaling [#140]
- add masked loss functions
- sort bundles in simulations
- minor adjustments in plotting scripts [#141]
consistent use of batch_size [#142]
- Add the model name to predictions and sampling file
- Delete unnecessary pad_unsqueeze function
- Add amp_phase keyword to sample_images
- Fix deprecation warning in sampling.py
- Add image size to test_evaluation.py routines [#146]
Outsource preprocessing steps in train_inspection.py [#148]
Remove unused norm_path from all instances [#153]
- Deleted cropping
- updated colorbar label
- removed source_list argument [#154]

Optimize evaluation.utils.trunc_rvs with numba, providing functions compiled for cpu and parallel cpu computation. [#143]