No Description
| Uploaded | Thu Dec 15 20:09:12 2016 |
| md5 checksum | 3e84660eac5d21884e1e0293ab199e89 |
| arch | x86_64 |
| build | np111py27_15 |
| build_number | 15 |
| depends | ann 1.1.2, armadillo 6.500.5, boost 1.55.0, decorator 3.4.0, dlib 18.16, dpct 1.1.post4, faulthandler 2.4, fftw 3.3.4, freetype 2.5.2, futures 3.0.2, greenlet 0.4.6, h5py 2.6.0, hdf5 1.8.16, hytra 1.1.1, iiboost 0.2.post2, ilastik-feature-selection 0.123.post9, ilastikrag 0.1.post12, ilastiktools 0.2, itk-seg-conv-only 4.6.1, jbig 2.1, jpeg 8d, jsonschema 2.4.0, lemon 1.2.4, libgcc 4.8.5 19991, libpng 1.6.17, libtiff 4.0.6, libxml2 2.9.0, matplotlib 1.5.1, mlpack 1.0.8.99, multi-hypotheses-tracking-with-cplex 1.1.2, multi-hypotheses-tracking-with-gurobi 1.1.2, networkx 1.11, nifty 0.2.post257 py27_0_g968d496, nifty-with-gurobi 0.2.post257 py27_0_g968d496, nose 1.3.6, numpy 1.11.1, opengm 2.3.7.post29, opengm-structured-learning-headers 2.3.4 np111py27_3_ga0797cd, opengm-with-cplex 2.3.7.post29, openssl 1.0.2j, pandas 0.18.1, pgmlink 1.3.post4, pillow 3.0.0, pip 6.1.1, psutil 2.2.1, pyparsing 2.0.3, pyqt 4.11.3, python 2.7.12, python-dateutil 2.4.2, pytiff 0.4.4, pytz 2015.4, qimage2ndarray 1.4, qt 4.8.6, readline 6.2, scikit-image 0.12.3, scikit-learn 0.17.1, scipy 0.17.0, setuptools 23.0.0, sip 4.16.5, six 1.9.0, sqlite 3.13.0, tifffile 0.4.post2, tk 8.5.18, vigra 1.11.0.post196, vtk 5.10.1.99, wsdt 0.2.post4, xz 5.0.5, yapsy 1.10.423, zlib 1.2.8 |
| machine | x86_64 |
| operatingsystem | linux |
| platform | linux |
| subdir | linux-64 |
| target-triplet | x86_64-any-linux |