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Rscript will actually crash partway through writing the output pdf, presumably because the recognition curves are degeenrate in this case.
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Address #133
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By default, when Transform::fromAlgorithm is used, attach a stream transform as the root of whatever transform is created (can be disabled with a flag). Actually implement stream project(template), give a warning if only returning one of N templates.
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If we get a 1 column matrix in eval, check if the query and target sets are of matching size, and construct a pairwise mask for that matrix.
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Add support for doing eval in terms of a series of pairwise comparisons
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We do need to do a transpose, but the inital matrix should have columns and rows reversed, so that the matrix side remains correct.
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Similar to the read methods, cv::mat contains type information, so there is no particular need for separate methods for masks and similarity matrices. Also, fix an apparent bug where .mat files read by openbr were transposed (compared to their dimensions when writing the files).
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Since .mtx files include a matrix type in their header, we don't really need separate functions to read similarity matrices and masks. This drops special case support for creating identity matrices via readSimmat and readMask (since in that case, there is no actual header to read to get a matrix type).