![]() Switch the sampling to Once, and the Background Eraser will erase anything with the color it sampled upon your first click. However, if I touch the branches, the Background Eraser will start deleting the trees. On the image above, for example, I can drag the Tool along the edge between the sky and the trees and it will delete only the blue from the sky. Continuous Sampling means that it will update the sample as you move the cursor. You can adjust how the Background Eraser Tool conducts its sampling. Instead, the Background Eraser Tool samples whatever is underneath the middle of the cursor (marked with a +) and deletes areas that match the sampled color. The name suggests that it automatically erases the background of your image, thus eliminating the tedious work of selecting – but I’m afraid that’s not how it works. Use the issues link above to report bugs and request new features.The Background Eraser Tool tends to confuse and disappoint Photoshop beginners. Reporting Bugs or Requesting New Features Have your changes reviewed by an objective party.Document code with Doxygen formatted comments. ![]() Ensure that all existing tests pass with your changes applied.We suggest the following guidelines be followed to keep a high degree of software quality: Contributing to DICeįork the DICe repo, develop new algorithms and send us a pull request. To install DICe on Linux, it must be built from source following the instructions here. Windows and Mac OS package installers for DICe can be found here. The International DIC Society (iDICs) provides a number of helpful resources related to DIC, for example a comprehesive guide on best practives, as well as conferences and workshops related to DIC. Lastly, DICe also includes a well-posed global DIC formulation that addresses instabilities associated with the saddle-point problem in DIC (This capability will be released later this year).įor more technical information see: DocumentationĢD tracking: General Use, Tips for DIC, and Other Resources This enables tracking of oblong objects that otherwise would not be trackable with a square subset.ĭICe also incudes a robust simplex optimization method that does not use image gradients (this method is useful for data sets that are impossible to analyze with the traditional Lucas-Kanade-type algorithms, for example, objects without speckles, images with low contrast, and small subset sizes < 10 pixels). A good way to get started is to use the GUI to set up some basic input files and then modify these files as necessary to enable more advanced features.ĭICe is different than other available DIC codes in the following ways:įirst, subsets can be of arbitrary shape. Instructions are given in the tutorials for how to enable options like these. To use DICe for trajectory tracking, or to enable some of the advanced features like the regularized global methods, the command line interface needs to be used. If you are using Linux or would like to make your own custom modifications to DICe, you can build DICe and the DICe GUI using the instructions on the documentation page below.Īlthough the GUI is expanding with each new version, only the basic use cases for 2d and stereo DIC are currently available as options in the GUI. If you are on a Windows or Mac OS and simply want to install DICe and use it there are package installers available on the release page. There are two ways to install and use DICe. Capabilities from DICe can be invoked through a customized library interface, via source code integration of DICe classes or through a standalone executable. DICe is machine portable (Windows, Linux, and Mac) and can be effectively deployed on a high performance computing platform (DICe uses MPI parallelism as well as threaded on-core parallelism). The images analyzed are typically of a material sample undergoing a characterization experiment, but DICe is also useful for other applications (for example, trajectory tracking). Its primary capabilities are computing full-field displacements and strains from sequences of digital images and rigid body motion tracking of objects. DICe Pushing DIC technology to new levels, togetherĭICe (pronounced /dīs/ as in "roll the dice") is an open source digital image correlation (DIC) tool intended for use as a module in an external application or as a standalone analysis code.
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