Free there is no difference software for linux

Visual difference metrics can predict whether differences between two images are visible to the human observer or not. Such metrics are used for testing either visibility of information (whether we can see important visual information) or visibility of noise (to make sure we do not see any distortions in images, e.g. due to lossy compression).

The image below shows how two input images, a reference image (upper left) and a distorted image (lower left), are processed with the VDP to produce a probability of detection map (right). Such probability of detection map tells how likely we will notice a difference between two images for each part of an image.

Red color denotes high probability, green - low probability. Red color is mostly present in the areas where there is a snow covered path. Because of smooth texture of the snow, there is not much visual masking and distortions are easily visible.

Although there are dozens of visible difference metrics that serve a similar purpose, our Visual Difference Predictor for HDR images (HDR-VDP) has two unique advantages: firstly, our metric works with a full range of luminance values that can be meet in a real word (HDR images), and secondly, we offer a complete source code for free.

High Dynamic Range Visible Difference Predictor (HDR-VDP) can work within the complete range of luminance the human eye can see. An input to our metric is a high dynamic range (HDR) image, or an ordinary 8-bits-per-color image, converted to the actual luminance values. The proposed metric takes into account the aspects of high contrast vision, like scattering of the light in the optics (OTF), nonlinear response to light for the full range of luminance, and local adaptation.

xRecurseDiff is a small sotware, useful for all those programmers working with a own code repository (class library or similar). Helps to rapidly verify difference between different copies of the same file.

For every file in project directory search in library directory for files having the same name. A report containing results is shown. A detailed diff output can be shown. Search can be case-insensitive and limited by a char filter.

Installation:

Extract archive: tar xzf xRecurseDiff.version.tgz
Enter in the new directory: cd xRecurseDiff.version
Link the correct language file: ln -s lang/xrdstrings-lang.h xrdstrings.h
Compile: make
Copy in the path: cp xrecursediff /usr/local/bin/

Text::Diff3::DiffHeckel is a two-way diff plug-in.

SYNOPSIS

use Text::Diff3;
my $f = Text::Diff3::Factory->new;
my $p = $f->create_diff;
my $mytext = $f->create_text([ map{chomp;$_} < F0 > ]);
my $original = $f->create_text([ map{chomp;$_} < F1 > ]);
my $diff2 = $p->diff( $origial, $mytext );
$diff2->each(sub{
my( $r ) = @_;
print $r->as_string, "n";
if ( $r->type ne d ) {
print -, $original->as_string_at( $_ ) for $r->rangeB;
}
if ( $r->type ne a ) {
print +, $mytext->as_string_at( $_ ) for $r->rangeA;
}
});

ABSTRACT

This is a package for Text::Diff3 to compute difference sets between two text buffers based on the P. Heckels algorithm. Anyone may change this to an another diff or a its wrapper module by a your custom Factory instance.

Text::Diff3 needs a support of computing difference sets between two text buffers (diff). As the diff(1) command, the required diff module creates a list of tipples recorded an information set of a change type (such as a, c, or d) and a range of line numbers between two text buffers.

Since there are several algorithms and their implementations for the diff computation, Text::Diff3 makes a plan independent on any specific diff routine. It calls a pluggable diff processor instance specified in a factory commonly used in Text::Diff3. Anyone may change diff plug-in according to text properties.

For users convenience, Text::Diff3 includes small diff based on the P. Heckels algorithm. On the other hands, many other systems use the popular Least Common Sequence (LCS) algorithm. The merits for each algorithm are case by case. In authors experience, two algorithms generate almost same results for small local changes in the text. In some cases, such as moving blocks of lines, it happened quite differences in results.Text::Diff3::DiffHeckel is a two-way diff plug-in.

Asterisk Configuration and Management Interface is a module-based, object oriented framework to administrate Asterisk PBX boxes through a Web browser.
The main difference between this and other projects is that ACaMI is based on a small template engine to separate logic from the output.
Enhancements:
- Several changes were made on the dialplan to work with asterisk 1.2.1.

Servlet::ServletInputStream is a servlet input stream interface.

SYNOPSIS

my $byte = $stream->read();

my $numbytes = $stream->read($buffer);
my $numbytes = $stream->read($buffer, $offset, $length);

my $numbytes = $stream->readLine($buffer, $offset, $length);

$stream->skip($numbytes);

if ($stream->markSupported()) {
$stream->mark($limit);
$stream->reset();
}

$stream->close();

Provides an input stream for reading binary data from a client request. With some protocols, such as HTTP POST and PUT, the stream can be used to read data sent from the client.

An input stream object is normally retrieved via "getInputStream" in Servlet::ServletRequest.

NOTE: While this is an abstract class in the Java API, the Perl API provides it as an interface. The main difference is that the Perl version has no constructor. Also, it merges the methods declared in java.io.InputStream and javax.servlet.ServletInputStream into a single interface.

ProMEPIS Linux is a linux distribution based on Debian that can be run from your CD drive without installation.

Where it shines is its easy, 100% "point and click" installation, and automatic detection of not only "normal" computer hardware but also popular webcams, the latest wireless network cards, "Winmodems" that usually work only with Windows, digital cameras, scanners, and other devices.

The difference between SimplyMEPIS and ProMEPIS is that SimplyMEPIS will continue to be a freely available desktop MEPIS bootable CD and ProMEPIS will designate an upcoming multi-CD packaged version of MEPIS.

Hash::Diff::Dispatch allows to execute code depending on difference between hashes.

SYNOPSIS

my $hash_watcher = Hash::Diff::Dispatch->new(

{}, # Sets the starting hash

# The events will be called using the order returned
# by calling keys on these values...

b => &bold,
i => &italic,

);


# Will call: bold(on, 5)
$hash_watcher->update( { b => 5, a => la } );

# Will call: bold(changed, 6)
$hash_watcher->update( { b => 6 } );

# Will call: bold(changed, 0)
$hash_watcher->update( { b => 0 } );

# Will call: bold(off)
$hash_watcher->update( {} );

METHODS

new

Accepts a starting hash-ref, and then a list of keys you want to watch, and the code to execute when they change. It will take a copy of the hash in the hash-ref you specify.

update

Accepts a hash-ref, which itll take a copy of, and make it the saved hash to check the next call to update again.
If a keys value has changed, itll execute the code specified when you created the object. If the key exists where it didnt before, itll pass on as the first argument, and the new value as the second. If its changed, changed and the new value. If its been deleted, itll pass off.