Applications and Project Descriptions

Application List

Base Applications

• persistentStorageManager : manages data stored by the drwnPersistentStorage class

Machine Learning Applications

• learnClassifier : application for training classifiers from data
• evalClassifier : application for evaluating a classifier on new data

Probabilistic Graphical Models Applications

• none

Vision Applications

• generateSuperpixels : generate (and visualize) superpixels.
• grabCut : bounding-box-based figure/ground segmentation.
• visualizeImageDataset : visualize image datasets.
• basicPatchMatch : demonstration of using the drwnMaskedPatchMatch class.
• patchMatchDemo : demonstrate construction of a drwnPatchMatchGraph.
• inPaint : basic image inpainting application.

Test Applications

• testDarwinBase : regression and unit testing for drwnBase library
• testDarwinIO : regression and unit testing for drwnIO library
• testDarwinML : regression and unit testing for drwnML library
• testDarwinPGM : regression and unit testing for drwnPGM library
• testDarwinVision : regression and unit testing for drwnVision library

Project List

• Darwin Tutorial : source code for all the tutorials.
• MAP Inference for Rosetta Protein Design : example MAP inference for protein design problems.
• photoMontage : interactive photo montage based on Agarwala et al., SIGGRAPH 2004.
• Multi-class Image Segmentation : multi-class image segmentation (pixel labeling).
• PatchMatchGraph Project : scene understanding based on Gould and Zhang, ECCV 2012.
• nnGraph Project : superpixel graph label transfer with learned distance metric for scene understanding (Gould et al., ECCV 2014)
• Matlab Interfaces : Matlab mex interfaces.
• Graphical User Interface for Machine Learning Data Flows : Graphical user interface for data flow design.