Releases: CRBS/cdeep3m
Releases · CRBS/cdeep3m
v1.6.3rc3
v1.6.3rc2
Improved performance of ensemble
bugfix
- changed tempdir to output directory
Added --gpu flag and now install IMOD
bug fixes and --gpu added to runtraining.sh
Parallel segmentation and prediction
Addition of tunable parameters for training
Fixed following issues
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Update default number of iterations in runtraining.sh to 30000. Issue #31
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Update runtraining.sh with custom flags to allow caller to adjust learning rate etc. Issue #30
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Update prediction to run with less then 16 augmented variations of the data. Issue #32
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Copy over VERSION file to train and predict jobs to. Issue #35
Bug fix in merge
Fixed a bug where merging large datasets was failing
Updates to EnsemblePredictions.m
Updated EnsemblePredictions.m to ignore non .png files in #fm directories.
Added large pretrained mito dataset
v0.14.1 new release