Recent Releases of radionets

radionets - radionets v0.4.1

What's Changed

  • Update CITATION.cff, authors by @aknierim in https://github.com/radionets-project/radionets/pull/190

Full Changelog: https://github.com/radionets-project/radionets/compare/v0.1.12...v0.4.1

- Python
Published by aknierim 7 months ago

radionets - Radionets v0.4.0

What's Changed

  • change bs to batch_size by @Kevin2 in https://github.com/radionets-project/radionets/pull/142
  • Rime tests by @Kevin2 in https://github.com/radionets-project/radionets/pull/141
  • Faster trunc norm by @RuneDominik in https://github.com/radionets-project/radionets/pull/143
  • Add model name to saving path for sampling by @FeGeyer in https://github.com/radionets-project/radionets/pull/144
  • Add correct path to evaluation methods by @FeGeyer in https://github.com/radionets-project/radionets/pull/145
  • Update framework for the use of real/imag by @FeGeyer in https://github.com/radionets-project/radionets/pull/146
  • Add isort pre-commit hook by @FeGeyer in https://github.com/radionets-project/radionets/pull/147
  • Fix mean normalization method by @FeGeyer in https://github.com/radionets-project/radionets/pull/149
  • Outsource repeating preprocessing steps in train_inspection by @FeGeyer in https://github.com/radionets-project/radionets/pull/148
  • Add evaluation of intensity by @FeGeyer in https://github.com/radionets-project/radionets/pull/150
  • Better binning and legend by @FeGeyer in https://github.com/radionets-project/radionets/pull/151
  • Remove normalization path by @FeGeyer in https://github.com/radionets-project/radionets/pull/153
  • Fix sampling for real/imag & nicer plotting by @FeGeyer in https://github.com/radionets-project/radionets/pull/152
  • Small improvements by @FeGeyer in https://github.com/radionets-project/radionets/pull/154
  • Fix sampling and improve uncertainty evaluation by @FeGeyer in https://github.com/radionets-project/radionets/pull/155
  • Use mamba for tests by @FeGeyer in https://github.com/radionets-project/radionets/pull/159
  • Create MANIFEST.in by @FeGeyer in https://github.com/radionets-project/radionets/pull/160
  • Add zenodo.json by @FeGeyer in https://github.com/radionets-project/radionets/pull/161
  • Latest release by @FeGeyer in https://github.com/radionets-project/radionets/pull/163
  • Uncertainty fixes by @FeGeyer in https://github.com/radionets-project/radionets/pull/164
  • Normalize images by @FeGeyer in https://github.com/radionets-project/radionets/pull/165
  • Cleanup by @FeGeyer in https://github.com/radionets-project/radionets/pull/166
  • Generalize symmetry computation by @FeGeyer in https://github.com/radionets-project/radionets/pull/168
  • Add logo to the README by @aknierim in https://github.com/radionets-project/radionets/pull/169
  • Fix comet_ml callback and process_prediction by @FeGeyer in https://github.com/radionets-project/radionets/pull/170
  • Uncertainty fixes and altered architecture by @FeGeyer in https://github.com/radionets-project/radionets/pull/171
  • Fix plotting for msssim sampled method by @FeGeyer in https://github.com/radionets-project/radionets/pull/173
  • Fix legend eval contour plot and CI by @aknierim in https://github.com/radionets-project/radionets/pull/175
  • Update pyproject by @aknierim in https://github.com/radionets-project/radionets/pull/176
  • Fix tests by @aknierim in https://github.com/radionets-project/radionets/pull/177
  • [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/radionets-project/radionets/pull/180
  • CI: Use uv instead of pip by @aknierim in https://github.com/radionets-project/radionets/pull/179
  • [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/radionets-project/radionets/pull/181
  • [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/radionets-project/radionets/pull/182
  • [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/radionets-project/radionets/pull/183
  • Restructure by @aknierim in https://github.com/radionets-project/radionets/pull/178
  • Updates to CI/CD and workflows by @aknierim in https://github.com/radionets-project/radionets/pull/186
  • Bump the actions group with 4 updates by @dependabot[bot] in https://github.com/radionets-project/radionets/pull/188
  • Docs by @aknierim in https://github.com/radionets-project/radionets/pull/187

New Contributors

  • @aknierim made their first contribution in https://github.com/radionets-project/radionets/pull/169
  • @pre-commit-ci[bot] made their first contribution in https://github.com/radionets-project/radionets/pull/180
  • @dependabot[bot] made their first contribution in https://github.com/radionets-project/radionets/pull/188

Full Changelog: https://github.com/radionets-project/radionets/compare/v0.2.0...v0.4.0

- Python
Published by aknierim 7 months ago

radionets - v0.3.0

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

API Changes

Bug Fixes

  • 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]

New Features

  • 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 evaluatearea and evaluatems_ssim for half images
    • Add evaluatemsssim 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]

Maintenance

  • 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 ampphase keyword to sampleimages
    • 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]

Refactoring and Optimization

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

- Python
Published by FeGeyer over 2 years ago

radionets - v0.2.0

Radionets 0.2.0 (2023-01-31)

API Changes

  • train on half-sized images and applying symmetry afterward is a backward incompatible change models trained with early versions of radionets are not supported anymore #140

Bug Fixes

  • fixed sampling of test data set fixed same indices for plots #140

New Features

  • enabled training and evaluation of half sized images (for 128 pixel images) #140

Maintenance

  • Deleted unusable functions for new source types Deleted unused hard coded scaling #140

Refactoring and Optimization

- Python
Published by Kevin2 about 3 years ago

radionets - v0.1.18

Radionets 0.1.18 (2023-01-30)

API Changes

Bug Fixes

New Features

  • added creation of uncertainty plots changed creation and saving/reading of predictions to dicts prediction dicts have 3 or 4 entries depending on uncertainty added scaled option to get_ifft created new dataset class for sampled images created option for sampling and saving the whole test dataset updated and wrote new tests #129

Maintenance

  • Add and enable towncrier in CI. #130

  • publish radionets on pypi #134

  • Update README, use figures from the paper, minor text adjustments #136

Refactoring and Optimization

- Python
Published by Kevin2 about 3 years ago

radionets - Initial publish on pypi

First published version of radionets.

- Python
Published by Kevin2 about 3 years ago

radionets - PhD thesis K. Schmidt

This state was used to create the Ph.D. thesis of K. Schmidt. From this point, we plan backward incompatible changes.

- Python
Published by Kevin2 about 3 years ago

radionets - Overhaul of the structure

Restructuring of the whole project. Different tasks are new available as command line executables.

- Python
Published by FeGeyer over 5 years ago

radionets - Felix Geyers Master Thesis

State of the framework used for the Master Thesis from Felix Geyer submitted on 30 September 2020.

- Python
Published by FeGeyer over 5 years ago

radionets - Feasibility Study without Sampling

Testing Fourier transformation with CNN using all available frequencies: * Create toy data with MNIST * Image size 64 x 64 pixel * Two different models * Training framework based on fast.ai course v3 part 2 (first half only)

- Python
Published by Kevin2 over 6 years ago