A DataFrame-like container for image data
Yotam Doron
doron.yotam at googlemail.com
Tue Apr 28 03:36:33 EDT 2015
Hi all,
I wrote the beginnings of a DataFrame-like container for image processing.
It's an experiment for the moment, a small wrapper around a dictionary of
arrays, and I'd be interested in any kind of feedback
https://github.com/yotam/pictureframe
https://pypi.python.org/pypi/pictureframe/0.1.0
https://github.com/yotam/pictureframe/blob/master/examples/quickstart.py
I wrote this because in my work I either end up with
- procedural code where I pass around lots of image-shaped arrays, or
- classes that have lots of image-shaped arrays as member variables
I wanted to avoid having to write repeated indexing code whenever I work on
a subset, and to have some guarantees about the shape of the data. I also
wanted to be able to quickly generate a scaled-down version of all my
arrays and to leave the door open for higher dimensional data like vxel
grids.
Main differences from Pandas DataFrame
- Arrays can have varying dimensions, only the first `fixed_dim`
dimensions must match. So you can keep together data such as RGB, depth,
label distributions, weight maps and so on.
- Higher dimensional data, not just a tabular structure.
Main differences from scikit-image ImageCollection and MultiImage
- Slicing and indexing operate on the underlying array data rather than
selecting a subset of the images.
- Images are constrained to match on first dimensions.
- Not constrained to image data, e.g. indexing can return a PictureFrame
with fewer constrained dimensions.
Any thoughts, suggestions or "aren't you just reimplementing library X?"
are very welcome. This is the first time I've tried to release a package so
if anything seems unusual please let me know.
Thanks,
Yotam
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