Search Results for "corrupted"

nonechucks is a library that provides wrappers for PyTorch's datasets, samplers and transforms to allow for dropping unwanted or invalid samples dynamically. What if you have a dataset of 1000s of images, out of which a few dozen images are unreadable because the image files are corrupted? Or what if your dataset is a folder full of scanned PDFs that you have to OCRize, and then run a language detector on the resulting text, because you want only the ones that are in English? Or maybe you have an AlternateIndexSampler, and you want to be able to move to dataset[6] after dataset[4] fails while attempting to load! ...

...Besides basic synthesis properties (cases per day, office hours, randomized activity duration, ...), its detailed parameter setting for simulating business processes also allows to specify data usage (objects + access modality), actors for process activities and access control constraints for task/object permissions. It is also capable of enforcing/violating specific security properties on process traces, such as SoD/BoD, Unauthorized Access, Corrupted log entries, Skipped Activities. SecSy builds upon the following libraries, that have to be included in the projects' build path: - JAGAL: http://sourceforge.net/p/jagal - JAWL: http://sourceforge.net/p/jawl - SEPIA: http://sourceforge.net/p/sepiaframework - SERAM: http://sourceforge.net/p/seram - TOVAL: http://sourceforge.net/p/toval

Docx2txt is a Perl based command-line utility to convert (even corrupted) Microsoft docx documents to reasonably formatted text files, along with appropriate character conversions. Apart from Perl it also requires a command line unzipping program like unzip/7z/pkzipc/wzunzip.