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GNU Guile-CV 0.1.6 released
GNU Guile-CV 0.1.6 released
Sun, 13 Aug 2017 20:38:35 -0300
GNU Guile-CV 0.1.6 is released.
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.
Here are the compressed sources and a GPG detached signature [*]:
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 18.104.22.168-0c102
-] 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
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.
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'.
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 …
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
** Bug fixes
the width and height of the result normalized image were inadvertently
inverted, now fixed.
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 address@hidden
* Mailing lists
For the time being, Guile-CV uses Guile's mailing list:
address@hidden is for general user help and discussion;
address@hidden is used to discuss most aspects of Guile-CV,
including development and enhancement requests.
[*] 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
Description: OpenPGP digital signature
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