napari is partially working! And new functions

News

• ip.window will be imported if possible, and this object makes it easy to visualize image with napari.
• curve_fit is working in PropArray, which can run scipy.optimize.curve_fit along any axis.
• specify is totally modified and now it is very useful for labeling in square or circular shape.
• melt is working in PropArray, which makes it easier to iterate along all the labels.

Improvements

• Some of filter functions are implemented using functions provided in scipy.ndimage rather than skimage because they are much faster.
• For images with size less than 10^7 pixels, parallel do not choose multiprocessing because it might be slower.
• Scales of axes can be set with set_scale so that you don't need to specify pixel size in such as hessian_eigval.
• peak_local_max takes percentile as an argument instead of absolute threshold because it is more useful.

Bug Fix

• In some functions update=True did not work
• split did split the image itself but did not split labels.

Important Changes

• __getitem__ is zero-start now, like in napari.
• All the plugin is deleted and moved into ImgArray methods.