To summarize, more than 40 new mathematical functions have been implemented in this evaluator in the last two years, in order to improve its calculation capacities: store(), date(), begin_t(), end_t(), merge(), f2ui(), ui2f(), ccos(), csin(), ctan(), ccosh(), csinh(), ctanh(), lerp(), maxabs(), minabs(), argmaxabs(), argminabs(), da_size(), da_insert(), da_push(), da_remove(), da_pop(), da_back(), isvarname(), resize(), fill(), repeat(), set(), deg2rad(), rad2deg(), swap(), vargkth(), vargmin(), vargmax(), vargminabs(), vargmaxabs(), vavg(), vkth(), vmin(), vmax(), vminabs(), vmaxabs(), vmed(), vprod(), vstd(), vsum(), vvar(), string(). G'MIC has its own mathematical expression evaluator, and this one has also seen many improvements recently. The field of digital image processing is essentially based on mathematical models of images and algorithms that we want to apply. Improvements to the Mathematical Expression Evaluator The diagram below illustrates, for example, one of the network architectures that has been trained for the new Repair / Denoise denoising filter mentioned earlier.ģ.2. Several optimizers have been implemented to manage learning ( SGD, RMSprop, Adam, Adamax) and it is therefore already possible to train networks for some image processing tasks with this new library. nn_lib allows the construction in G'MIC of neural networks with convolutional or fully connected modules, pooling modules, residual modules, etc. This library has been re-implemented from scratch, which represents a really important effort of research, implementation and testing (but it has also been a very instructive work!). This library allows the manipulation of generic neural networks and supports both the network learning phase and the inference phase. Let's start with the feature that required the most development effort, which we already mentioned earlier: the implementation of an internal machine learning library ( nn_lib). This plugin allows you to enrich these programs with more than 570 different filters and effects to apply to images. The most visible G'MIC user interfaces are: the gmic command, which can be used on the command line (an essential companion to ImageMagick or GraphicsMagick for those who process their images via the terminal), the G’MIC Online Web service, and above all, the G’MIC-Qt plugin, which is available for several popular digital image editing software (free or proprietary) such as GIMP, Krita,, and more recently, Adobe Photoshop or Affinity Photo. The IMAGE team, one of the six teams of the GREYC, is composed of about fifty members (researchers, teacher-researchers, doctoral and post-doctoral students, engineers), all specialized in the fields of algorithmics and mathematics of image processing. The G'MIC project has been developed since 2008, mainly by two members of the IMAGE team of the GREYC laboratory: David Tschumperlé ( CNRS research fellow, team leader) and Sébastien Fourey ( ENSICAEN lecturer). 1.1 : Logo of the G'MIC project, a free image processing software, and its mascot "Gmicky" (created by David Revoy). G'MIC is therefore, in essence, an open, extensible and constantly evolving framework.įig. The users of the framework can thus apply operations among the hundreds already predefined, but also have the possibility if writing their own complex processing pipelines and make them accessible in the various user interfaces of the project. This language was specifically developed to ease the prototyping and implementation of new image processing algorithms and operators. The core of this project is based on the definition of a specialized scripting language (the "G'MIC language") and on a free implementation of its associated interpreter. It offers various user interfaces for the algorithmic manipulation (automated or semi-automated) of images and generic signals, ranging from simple 1D signals to 3D volumetric image sequences with any number of channels (which includes classical color images). G'MIC In Just Over 3.0.0 Words G'MIC is an open-source framework for digital image manipulation and processing.
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