I updated the Makevars and Makevars.win
files by adding -DARMA_USE_CURRENT (see issue:
https://github.com/RcppCore/RcppArmadillo/issues/476)
I removed the -mthreads compilation option from the
“Makevars.win” file
I removed the “CXX_STD = CXX11” from the “Makevars” files, and the
“[[Rcpp::plugins(cpp11)]]” from the “superPx_AP_Kmeans_Segment.cpp” file
due to the following NOTE from CRAN, “NOTE Specified C++11: please drop
specification unless essential” (see also:
https://www.tidyverse.org/blog/2023/03/cran-checks-compiled-code/#note-regarding-systemrequirements-c11)
SuperpixelImageSegmentation
1.0.5
I updated the documentation
SuperpixelImageSegmentation
1.0.4
I’ve added the CITATION file in the inst
directory
SuperpixelImageSegmentation
1.0.3
I’ve included the Affinity Propagation Clustering parameters in the
spixel_segmentation method of the Image_Segmentation
R6 class and especially the ap_maxits (maximum number of
iterations), ap_convits (convits iterations),
ap_dampfact (update equation damping level) and
ap_nonoise (small amount of noise to prevent degenerate cases).
Although the default parameter values work for the majority of Image
Segmentation tasks, adjustments might be necessary for specific use
cases.
SuperpixelImageSegmentation
1.0.2
I’ve added the return_labels_2_dimensionsional parameter to
the spixel_segmentation R6 Method, so that if TRUE then the
2-dimensional (matrix) superpixel labels will be returned
I’ve added the spixel_clusters_show method to visualize the
superpixel clusters in case the return_labels_2_dimensionsional
parameter is set to TRUE
SuperpixelImageSegmentation
1.0.1
I’ve added an error case if the kmeans_initializer
parameter is not one of ‘kmeans++’, ‘random’, ‘optimal_init’ or
‘quantile_init’
SuperpixelImageSegmentation
1.0.0
The spixel_segmentation method allows also the user to
return the kmeans clusters too (in case that the kmeans_method
is set to “kmeans” or “mini_batch_kmeans”)