DIGITS 5.0 RC

279 commits since v4.0.0

New Features

• Import pretrained models from a model "store" (#896, #1077, #1161)
• Support for image segmentation workflows (#830, #961, #1131)
• Online data augmentation with Torch (#777)
• Show CPU and system memory utilization during training (#800)
• Improved bounding-box visualizations for object detection models (#869)
• Create groups of jobs for easier display on the home page (#734)
• Reuse data extensions for inference (#1024)
• Support for plugin extensions (#1093, #927, #947)
• Add documentation for the REST API (#964)

Changes

• Use environment variables for configuration instead of a file (#1091)
• Remove digits-server and dependency on gunicorn (#1127)
• digits-devserver is now just a small shell script instead of a Python script (#1121)
• New design for Torch multi-GPU training (#828)
• Add Ubuntu 16.04 support by updating dependency versions (#965)
• Allow testing of only Caffe or only Torch with the testsuite (#1143)
• Return more info when downloading a model tarball or json (#891)

Bugfixes

• Fix bug with Torch and CUDA_VISIBLE_DEVICES (#1130)
• Fix issues with browsers returning incorrectly cached css and js files (#904)

Known Issues

• Training goes on longer than required when using batch accumulation (#1240)