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[ 源代码： pims ]
软件包：python3-pims（0.7+ds-1）
Python Image Sequence
Scientific video can be packaged in various ways: familiar video formats like .AVI and .MOV, folders full of numbered images, or "stacks" of TIFF images. Each of these requires a separate Python module. And, once loaded, they have different methods for "accessing individual images, looping through the images in bulk, accessing a specific range, or dealing with multidimensional files". PIMS can do all of these using a consistent interface, handling the differences between different inputs invisibly.
Formats readable by pims include:
* Directories or zipfiles of still images (most formats, including TIFF, JPEG, PNG, BMP), and TIFF stacks * Microscope images supported by the Bio-formats project, including Leica, Nikon, Olympus, and Zeiss formats. Requires separate installation; see below. * Movie formats and codecs supported by ffmpeg, including AVI, QuickTime MOV, and H.264 (MP4). May require separate installation. * CINE files from Vision Research cameras * SEQ files from NorPix StreamPix software
PIMS is based on readers by:
* scikit-image * ffmpeg and PyAV (video formats such as AVI, MOV) * jpype (interface with Bio-formats) * Pillow (improved TIFF support) * tifffile (alternative TIFF support) * pims_nd2 (improved Nikon .nd2 support) * imageio (a multi-purpose reader package that reads and writes many formats) * moviepy (a Python module that supports video editing) * nd2reader (a Pure Python module for reading Nikon NIS Elements ND2 images and metadata)
其他与 python3-pims 有关的软件包
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- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
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- dep: python3-imageio
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-packaging
- core utilities for python3 packages
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- dep: python3-slicerator
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- dep: python3-tifffile
- Read and write image data from and to TIFF files
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- rec: python3-pil
- Python Imaging Library (Python3)
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- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab