{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"PIMS provides a unified interface to read scientific video and image sequences from diverse formats\u2014video files, image stacks, microscope formats, and numbered image directories\u2014using consistent methods for accessing, slicing, and iterating through frames.","skillfed_tags":["microscopy","video-processing","image-io"],"use_cases":["Load and iterate through frames from a microscopy experiment stored as a TIFF stack or vendor-specific format without learning format-specific APIs.","Process video files (AVI, MOV, MP4) frame-by-frame in a scientific analysis pipeline using a consistent interface.","Build batch image processing workflows that accept multiple input formats and automatically detect and read them.","Access specific frame ranges or multidimensional slices from large image sequences without loading entire files into memory.","Prototype image analysis code that needs to work with both video files and numbered image directories interchangeably."],"what_it_does":"PIMS abstracts away the complexity of reading scientific video and image data in many different formats. Instead of learning separate libraries for AVI files, TIFF stacks, Nikon microscope images, and numbered image sequences, you use a single consistent interface. It handles the format detection, loading, and frame access transparently, letting you focus on your image analysis rather than file I/O plumbing.\n\nThe package is built on top of established libraries like imageio, numpy, tifffile, and optional integrations with ffmpeg and Bio-formats. It supports video formats (AVI, MOV, MP4), image stacks (TIFF, JPEG, PNG), microscope vendor formats (Leica, Nikon, Olympus, Zeiss), and specialized camera formats (CINE, SEQ). You can slice frames, iterate in bulk, access specific ranges, and work with multidimensional data using the same API regardless of source.","worth_installing":"Yes, if you work with scientific video or microscopy images in multiple formats and want to avoid format-specific boilerplate. The aging maintenance status (last release 795 days ago) and high install friction mean it's best for established workflows where the dependency chain is already stable. No known vulnerabilities. Not recommended for new projects unless you specifically need multi-format support."},"id":"pims","links":{"html":"https://skillfed.io/packages/pims","md":"https://skillfed.io/packages/pims.md","pypi":"https://pypi.org/project/pims/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2024-06-10","license_spdx":null,"license_treatment":"permissive","name":"PIMS","python_support":"supports_current","summary":"Python Image Sequence"},"popularity":{"monthly_downloads":184643,"position":10028,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.7"}