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  • feature/hydra_config
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Created with Raphaël 2.2.020Jul1814131221Jun20762131May3027Mar20Feb17151476130Jan2619181365423Dec222119161514139723Nov181716109226Oct2524212018171413121110765428Sep27262131Aug30292524181716119formatting and change util script to be able to load directories as symlinkseval.random_search.outlier allows to set the random search dir and is robust to unavailable parameter valuesupdate label_outliers script to print the average NMAEadd sbatch files used for slurm to gitignoreupdate gitignorefix usage of custom random search dir in oulier labelingmerge (gitignore)fix that random_search can user other datasetstry introducing dataset dir to cgan random searchupdate gitignoreadd scatter correction as a random search param to be evaluateMerge branch 'main' of https://gitlab.ub.uni-bielefeld.de/thuxohl/mu-mapmu_map/random_search/eval/params.py allows the evaluation of multiple params with the same calladd all cgan_random_search dirs to gitignorechange create_gif.py behaviour to not loop per defaultcgan random search now includes scatter correction as a parameterMerge branch 'main' into feature/hydra_configadd roi command to create_gifadd script to create a gif from 3d imagesadd script to compute a single mu mapupdate osem reconstructionconversion to dicom changes UIDupdate vis.slices with image config paramsimplement conversion func from interfile to dicomremove debug print statements from file utilupdate file utilsrenameing and change_size accepts negative target sizesadd module with global image configrename load to load_any in file.convertupdate gitignore to ignore build filesrename load_img to load_any in file.convertimplement get_format method in file.convertuse new types in file.nrrd and implement cropping and paddingadd module for typingupdate pyproject.tomladapt other depending codeload nrrd files and update conversion - file handling in generalupdate dicom implementation with a dataclass wrapping header and image as well additional functionalityimplement automatic patient bed detectionupdate label of loss type plot in random_search.eval.params
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