All notable changes to the Pyimof package will be documented in this file.
The format is based on Keep a Changelog and this project adheres to Semantic Versioning.
- image registration example to the doc,
- Gaussian kernel support to
iLK
.
TV
regularization method intvl1
solver.
pyimof.io.floread
complyance with middlebury files,- image loading as
np.float32
.
div
and discrete gradient schemes.
iLK
optical flow solver,TV-L1
optical flow solver,- the two-frame grayscale Middlebury training dataset in the
pyimof.data
submodule, - read/write vector field to
.flo
format in thepyimof.io
submodule, - optical flow color coding and quiver plot in the
pyimof.display
submodule.