Free imaging solution software for linux

Postfix SMTP Monitoring Solution is a set of three Perl CGI scripts used to monitor the SMTP queue, allowing the deletion of messages that for one reason or another become "stuck" in the queue.

I needed a web-based solution to monitor my Postfix SMTP relay, which enabled me to remove messages that become "stuck" in the queue. I wrote three simple Perl scripts, and used Sudo to give me the desired functionality.

I am uploading these scripts in case they are useful to others. Assuming you have Apache configured correctly on your Postfix server, it should be as easy as placing the three .cgi files into your webservers cgi-bin directory, and making the appropriate modifications to your /etc/sudoers file (see the README contained in the tarball).

Image Cluster copies and renames images based on Exif data and file number names. Image Cluster also clusters those images into directories based on a variable sliding window (with a default of 36 hours), which makes it easy to group images based on events without manual intervention.

The inspiration for this program came from recently getting a new Canon SD500 camera to replace my Canon S30 that Id had for years. The upside, the Canon SD500 rocks! The downside, I now have 2 cameras that are burning through the same sequence numbers, so my previous solution of just putting all the files in to directories by the first 2 digits of the sequence numbers was no longer going to work.

Imagecluster solves this problem, plus another grouping problem that Id been thinking about, by extracting the CreateDate and FileNumber exif tags from the images, and using that as the basis of a new filename (typically YYYY:mm:dd_HH:MM:SS_FileNumber.jpg). This ensures that 2 images taken at the same second have an even smaller chance of colliding, as their camera sequence numbers would have to also be the same at that second.

But that is just the first step. I have noticed that I am an occational photographer, so take pictures in bursts, often for a weekend of hanging out with folks, though sometimes for a vacation as well. This got me thinking. What I really needed is a tool that also creates directories that allows for some minimum tollerance between CreateDate, that is used to cluster images. For me, the optimum value seems to be 36 hours, though this is configurable via the command line.

This took me an afternoon to pull together, Im sure it could be smarter, but it is useful enough to post for others to use.

Options:

-d directory
Set the target directory for images. Defaults to /tmp/photos, which is probably not what you want.

-D
Dryrun. Tells you what the program would have done.

-h
Print out help message

-s
Seperator character. It defaults to : (i.e. 2005:10:09...), but is user configurable because my friend Clemens wants to use - (i.e. 2005-10-09) instead.

-t
Set the tollerance for image clustering. This is the maximum time between any 2 pictures in a cluster, which will cause a new cluster to be created. The name of the cluster will be YYYY:MM:DD of the first image in the cluster, even if it spans multiple days. Because this tollerance is the maximum time between any two images in the cluster, it is possible that all images you have ever taken could be in 1 cluster, if you took a picture every day of your life. Hence, this feature isnt useful to everyone. If you are that kind of person, set tollerance to 16 hours or something, and youll tend to get 1 day sized buckets.

-v
Prints verbose output

HP Linux Imaging and Printing Driver Project consists of two projects:

1) HPIJS, a printer driver for HP devices

2) HP Linux Imaging and Printing (HPLIP), a complete printing and imaging solution for Linux (note: HPLIP includes HPIJS).

Medical Imaging Interaction Toolkit (MITK) is currently under active development, and aims at supporting the development of leading-edge medical imaging software with a high degree of interaction. It combines vtk, itk and the pic-based-libraries of the Div.
Main features:
- multiple, consistent views on the same data. For example, when you have three orthogonal 2D-views and a 3D view and data consisting of a green surface, the surface will be visible and green in all views (as contour lines in 2D, as a surface in 3D), and when you move the surface, it will move in all views. When you try to realize this with basic vtk, you will need to coordinate the position/orientation/color/... of all the views somewhere in your program - exactly this can mitk do for you.
- interactions that create and/or modify data (not only actors as in basic vtk)
- complex interactions with multiple states, e.g., for interaction with active contours
- undo/redo of interactions
- organization of data objects in a tree at run-time, e.g., to represent logical dependencies (e.g., a heart cavity is a part of the heart) or to control the rendering process
- additional properties of arbitrary type can be assigned to data objects contained in the data tree
- visualization and interaction with 3D+t data (basic vtk can handle only 3D data and itk is not for visualization and interaction)
- although mitk is mainly a toolkit and not an application, it offers some support on the application-level, e.g, for structured combination of modules (so-called functionalities), e.g., for combining and switching between one functionality for segmentation and another for registration.
Enhancements:
- New functionalities: IsoSurface, ViewInitialization and Measurement.
- Support for ITK 2.4-2.8, VTK 4.4 and 5.0.
- Lots of bugfixes and improvements, e.g. interaction for rotatable slices.

Image::ExifTool::QuickTime is a Perl module to read QuickTime and MP4 meta information.

SYNOPSIS

This module is used by Image::ExifTool

This module contains routines required by Image::ExifTool to extract information from QuickTime and MP4 video files.

Image Download allows you to download All the Picuture In the Page.

Filter by width ,height, type.

Auto Create Sub Folder ,auto rename

Auto log Download Infomation.

Image Viewer is an image viewer with real-time interactive pan and zoom viewing that uses the GTK+ toolkit and Imlib (or Imlib2).
Image Viewer can open and save to any image format supported by Imlib, rectangular crop, grab the screen, print, and display on the root window.
Main features:
- View
- Convert
- Grab (Screenshot)
- Print
- Rotate
- Crop
- Resize
- Display on Desktop
Enhancements:
- A bug was fixed in the saving of animated GIF images in which looping was not an option.
- The disposal method support for GIF images was improved.

Magic Cube 4D project is a four-dimensional Rubiks Cube.

MagicCube4D is a fully functional four-dimensional analog of Rubiks cube. The image above shows the puzzle in its solved state. Click on it for a simple resizable applet version that you can interact with to get a feeling for how it works. Download the full-featured application below and try to solve it. Please read the FAQ for a more complete description of the puzzle. If the Java applet or application fail to start you may need to install a Java virtual machine. Click here for a current one.

Don Hatch and Melinda Green have developed it on and off over several years. Jay Berkenbilt has recently joined us to help with Linux support and source control. Don and Jay were the first to have solved the puzzle making extensive use of the move macro facility in the UNIX version. Roice Nelson became the first person to solve the puzzle without using macros. For his solution, he extended Philip Marshalls 3D "Ultimate Solution to Rubiks Cube".

You can learn Roices solution if you dont feel like trying to solve it yourself first. Using his techniques, Roice and others have continued to find ever shorter solutions so that the record currently recovered by Roice required only 334 twists! You can find documentation of these and other milestones on the MagicCube4D Hall Of Fame page. If you solve it with or without reading the solution, send us your log file and well list you in the MagicCube4D hall of fame too!

The mathematically inclined may be interested to know that the number of possible states for the 4D cube is exactly

(24!x32!)/2 x 16!/2 x 2^23 x (3!)^31 x 3 x(4!/2)^15 x 4

which can also be expressed as

32! 24! 16! 2^22 6^32 12^15