Search Results for "case"

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, AVIF and WebP images of varying dimensions. Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly.

...The user can specify various parameters and constraints which the software then uses to generate complex structures. One of the key features of such programs is the ability to export the created models in various file formats, which appears to include the PLY format in this case.

It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but that color instead of gray) In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image from being saved successfully If you do not know the color code, you can pass a color: -color input and the application will let you move the mouse on the screen, and when you press return, the color of the mouse pointer will be picked. (This does not work properly in certain environments, but you can always move the mouse over your color before launching the application) You can find more about it at this web site: https://www.frojasg1.com:8443/downloads_web/web/html/keyColorImage.html=origin=sourceforge

Current filter functionality: - Simple editing options: Image cropping, resizing, rotation, Color brightness curve alignment - Histobram processing: Convolution, statistics (e. g. f_max or median analysis) - Image segmentation: The actual segmentation process as well as group weight calculation for further filtering (both functions rely on self defined custom dynamic mathematical functions) - Dynamic mathematical functions for custom and automated image filtering: General mathematical operations, using image or matrix as f(x, y), export f(x, y) as image or matrix, mapping variables on other ones and of course boolean operation for case sensitivity - A flexible variables model of dynamic mathematical function that sets no restriction on particular variables count - Sub project support for an organized total process targeting to save time using previously created editing routines instead of redoing steps each time

IDTE is a full-featured tag editor for Windows that supports tagging of FLAC, APE, ID3v1.x/2.x, WMA, Lyrics, and Vorbis metadata in audio files. It also includes a powerful audio player with support for 40+ lossy and lossless formats, including FLAC, ALAC, OGG, APE, MP3, and more. IDTE offers a wide range of advanced features: • Rename files using tag information • Export and manage tag data • Create and manage playlists • Search online for missing or incomplete tags • Fetch...

...More than a thousand readymade objects help to draw professional diagrams. Dia can read and write a number of different raster and vector image formats. Software developers and database specialists can use Dia as a CASE tool to generate code skeletons from their drawings. Dia can be scripted and extended using Python.

DiscWrapper is a cover designer for home-made discs. It was made with Code::Blocks and it uses the wxWidgets library. It has template covers. Depending on the case there are pages where you can place labels, images, and lists.

...Some attempts to rewrite it in other languages were done, but currently (since January 2012) there is an attempt or rewrite using those technologies: _ C++11 _ wxWidgets 2.9 (will be 3.0 when it will be released) _ openGL _ pluma framework (a fixed version located on bitbucket) The design of the actual C++ code-base primarily targets clean source code and high modularity of source code, to allow easy reuse of the code and fast learning for people who might join the effort. Current development is located on https://bitbucket.org/bmorel/autorealm . Howerver, older repositories are still here in case someone would like to consult them, and to allow easy access to algorithms they might contain.