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jni / gala / 178

Builds Branch Commit Type Ran Committer Via Coverage
178 speedup Restore and test edge pixel count behavior push 25 Feb 2016 07:19AM UTC jni travis-ci pending completion   set done
177 speedup PEP8 fix push 24 Feb 2016 12:36AM UTC jni travis-ci pending completion   set done
176 master Merge pull request #75 from jni/conda-env Update dependencies push 19 Feb 2016 02:44PM UTC jni travis-ci pending completion   set done
174 conda-env Add minimal env file without test dependencies push 15 Feb 2016 07:14AM UTC jni travis-ci pending completion   set done
173 conda-env Fix minor code issues push 13 Feb 2016 01:44AM UTC jni travis-ci pending completion   set done
172 conda-env Remove Pylibtiff support altogether push 13 Feb 2016 01:19AM UTC jni travis-ci pending completion   set done
171 conda-env Update Travis to use conda env definition push 10 Feb 2016 12:02PM UTC jni travis-ci pending completion   set done
169 citation Update CITATION files so .md includes .bib push 11 Jan 2016 08:40AM UTC jni travis-ci pending completion   set done
168 citation Update requirements in various places push 09 Jan 2016 03:06AM UTC jni travis-ci pending completion   set done
167 master Merge pull request #68 from jni/learn-zmq [MRG] Add ZMQ solver and simulated client push 09 Jan 2016 02:09AM UTC jni travis-ci pending completion   set done
166 learn-zmq Add message in solver class docstring push 09 Jan 2016 12:17AM UTC jni travis-ci pending completion   set done
165 learn-zmq Document communication functions on Solver push 08 Jan 2016 02:39AM UTC jni travis-ci pending completion   set done
164 learn-zmq Join threads in testing to prevent hanging push 05 Jan 2016 03:05AM UTC jni travis-ci pending completion   set done
161 learn-zmq Move fast_rag to its own file This creates a new, lightweight RAG class that will slowly supplant the original agglo.Rag. push 04 Jan 2016 04:51AM UTC jni travis-ci pending completion   set done
160 learn-zmq Overhaul gala testing Using a mock feature manager that directly works on fragment counts (aka superpixel counts) to determine whether we are in a flat learning or agglomerative learning regime, and maps to a specific part of feature space. push 03 Jan 2016 02:14AM UTC jni travis-ci pending completion   set done
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