Speed up image analysis in Python with efficient reading
impy
Speed up image analysis in Python with efficient reading, batch-processing, viewing functions and easily extend your own function for batch processing.
Image analysis programatically is sometimes troublesome like …
- for multi-dimensional images, you need to check which is time-axis and which is channel axis and so on.
- you need to consider the output data types and shapes for every batch image processing.
- you need to care about all the images’ information such as the names and directories of original images.
- hard to edit images interactively.
As a result, isn’t it faster to analyze images using ImageJ? This module solves these major problems of Python based image analysis and makes it much more effective.
Installation
pip install git+https://github.com/hanjinliu/impy
impy is partly dependent on numba, trackpy, mrcfile and