GNU Guile-CV 0.1.6 released

GNU Guile-CV 0.1.6 released

[David Pirotte]

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Hello,

GNU Guile-CV 0.1.6 is released.

* About

Guile-CV - Image Processing and Analysis in Guile - is a Computer Vision
functional programming library for the Guile Scheme language.

Based on Vigra (Vision with Generic Algorithms - a C++ image processing
and analysis library), Guile-CV comprises a direct binding to Vigra C (a
C wrapper to most of the Vigra functionality), enriched with pure Guile
scheme algorithms, all accessible through a nice, clean and easy to use
high level API.

Guile-CV is natively multi-threaded, and takes advantage of multiple
cores, using high-level and fine grained application-level parallelism
constructs available in Guile, based on its support to POSIX threads.

	http://www.gnu.org/software/guile-cv/

* Download

Here are the compressed sources and a GPG detached signature [*]:

	http://ftp.gnu.org/gnu/guile-cv/guile-cv-0.1.6.tar.gz
	http://ftp.gnu.org/gnu/guile-cv/guile-cv-0.1.6.tar.gz.sig

This released was bootstrapped with the following tools:

	-] gcc              (Debian 6.4.0-1) 6.4.0 20170704 
	-] autoconf         (GNU Autoconf) 2.69 
	-] automake         (GNU automake) 1.15.1 
	-] libtool          (GNU libtool) 2.4.6 
	-] makeinfo         (GNU texinfo) 6.4.90 
	-] pdflatex         3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) 
	-] guile-2.2        2.2.2.3-0c102
	-] guile-lib-1.0    0.2.5.1
	-] vigra            from the source, last commit here:
                            b2ff44f - June 18, 2017
	-] vigra C          from the source, last commit here:
                            0885303 - Feb 3, 2017

* Changes since 0.1.5

** Interface changes

im-normalize
im-normalize-channel:

  Adding an optional #:key (val 255.0), since we need to be able to
  normalize to specific values in some circumstances, such as, for
  example, to normalize gray level co-occurrence matrices.

f32vector-reduce:

  The arguments order has been changed for 'vector proc default' not
  'proc default vector', because it is the order we use in im-reduce and
  im-reduce-channel - as [almost] all other im-* procedures or methods
  take an image as their first argument.  As a user, it is also a bit
  more naturel, imo at least, to 'reduce image using proc, return
  default if the image is empty'.

im-add
im-add-channel
im-subtract
im-subtract-channel
im-multiply
im-multiply-channel
im-divide
im-divide-channel:

  All linear algebra matrix methods now accept any number of images or
  channels.  Note that due to the inherent checks between lines and
  columns of intermediate results, im-multiply-channel and
  im-divide-channel methods arguments must be a series of at least one
  tuple(s) composed of three values - channel width height - represented
  in the manual as: c1 w1 h1 c2 w2 h2 c3 w3 h3 …

im-collect:

  Updated so its interface is 'identical' to im-map and friends, and a
  typical call now looks like:  im-collect what i1 i2 i3 … (instead of
  im-collect images what).

** New interfaces

im-range
im-range-channel
im-min
im-min-channel
im-max
im-max-channel
im-map
im-map-channel
im-reduce
im-reduce-channel
f32vector->s32vector
f32vector-range
s32vector-range
s32vector-min
s32vector-max
s32vector-reduce
s32vector->f32vector

** Bug fixes

im-normalize:

  the width and height of the result normalized image were inadvertently
  inverted, now fixed.

f32vector-matrix-multiply:

  the sub results were inadvertently using 'n' instead of 'p' to compute
  their destination position in the 'n x p' cells returned result
  f32vector, now fixed.

* Bug reports

Please report bugs to bug-guile-cv@gnu.org

* Mailing lists

For the time being, Guile-CV uses Guile's mailing list:

	guile-user@gnu.org is for general user help and discussion;

	guile-devel@gnu.org is used to discuss most aspects of Guile-CV,
	including development and enhancement requests.


David


[*] Use a .sig file to verify that the corresponding file (without the
    .sig suffix) is intact.  First, be sure to download both the .sig
    file and the corresponding tarball.  Then, run a command like this:

	gpg --verify guile-cv-0.1.6.tar.gz.sig

    If that command fails because you don't have the required public
    key, then run this command to import it:

	gpg --keyserver keys.gnupg.net --recv-keys A3057AD7

    and rerun the 'gpg --verify' command

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