DIGITS 3.1

New Features

• Enable multi-GPU for Torch (#480)
• Add basic login functionality (#463)
• Allow Torch to fine-tune pretrained models (#499)
• Allow Caffe to fine-tune from multiple pretrained models (#498)
• New tutorials
  • Fine-tuning (#500)
  • Siamese networks (#453)
  • Weight initialization (#522)
• Allow optional specification of image folder during multiple inference (#526)

Changes

• Torch performance improvements (#368, #390, #441, #339)
• Disable colormap for "Top N" feature (#481)
• Better real-time updates for dataset creation (#473)
• Better display for device_query tool (#497)
• Display the job directory for all job types (#469)
• Use Flask "Blueprints" to cleanup routing code (#507)
• Cleanup and alphabetize imports throughout the project (#501)
• Removed docs/API.md and docs/FlaskRoutes.md (a05356e)

Bugfixes

• Enable importing of LMDBs created with Caffe's convert_imageset tool (#517)

DIGITS 3.0

See release notes for v3.0 RC.

New since 3.0 RC

• Fix handling of unencoded LMDBs in Torch (#475)
• Significant performance enhancement for creating datasets (#491)
• Various documentation fixes / updates

DIGITS 3.0 RC

New Features

• Add Torch7 as an alternative backend to Caffe (#324, #345)
• Make using python layers easier by [optionally] attaching a python file to each model (#329)
• Add the ability to clone previous jobs with a click (#334)
• Update the homepage to show job updates in real-time (#240)
• Enable mean subtraction by subtracting the mean file as well as subtracting the mean pixel (#321)
• Support NVcaffe v0.14 (#341, #336)
• Display the job directory size for each DatasetJob and ModelJob (#309)
• Add a backend badge (LMDB/HDF5) to DatasetJobs on the homepage (#323)
• Explore images in LMDB datasets (#331)

Changes

• Use port 34448 for the digits-server instead of port 8080 (#392)
• Remove digits-walkthrough (#352)
• Enforce standard UI for file input fields across different browsers (#325)

Bugfixes

• Fix PicklingErrors issues on all platforms (#307)
• Fix issue when running inference on many images at once (#361)

Known Issues

• Large inference requests (i.e. "Classify many") may cause timeouts or even crashes (#479)
• Incorrect handling of unencoded LMDB in Torch wrapper (#477)

DIGITS 2.2.1

New since 2.2.0

• Fixed snapshot list for previous networks (#285)
• Fixed parameter counting (#317)

DIGITS 2.2

New Features

• Add [initial] support for HDF5 datasets (#226)
• Zoom in on weight/activation visualizations (#267)
• Add a new page for comparing training results (#195)
• Add notes to jobs (#283)

Changes

• Open inference results in a new browser tab (#244)
• Various improvements for using prebuilt LMDBs (#268)
• Sort subfolders when parsing a folder of images (#296)
• Use input_shape instead of input_dim for deploy network prototxt (#231)

Known Issues

• Using a snapshot from a previous network doesn't work unless the network is on the first page (#285)
• Parameter counting fails for some layer types (like PReLU) (#317)

DIGITS 2.1

New Features

• Add support for "Generic Inference" (i.e. non-classification) networks (#189)
• Display number of learned parameters in a model (#221)
• Show ground truth in "Classify Many" if provided (#110)
• Zoom in on a selection of the loss/accuracy graph (#113)
• Add autocomplete for server-side path input fields (#183)
• Select max/min images per class when parsing a folder of images (#161)
• Allow user to download log from CreateDb tasks (#221)
• Show number of available GPUs on home page (#207)
• Allow local file upload for image lists (#106)
• Display DIGITS version in top right of page header (#153) and in the console output (c181797)

Changes

• Double the LMDB map_size when running out of memory instead of setting to 1TB (#209)
  • requires py-lmdb 0.87
• Rename default GoogLeNet layers and tops (9ff246e)
• Add pagination to Previous Networks list (c181797)
• Various changes that help with Windows compatibility (#199)
• Major refactoring of tests (#192)

Known issues

• Parameter counting fails for some layer types (like PReLU) (#317)

DIGITS 2.0

New Features

• Enabled support for multi-GPU Caffe (#92)
  • Select multiple and/or specific GPUs for training (#92, #104)
• Created new routes for JSON REST API (#134, #136)
• Started using GPU for inference (#66)
• Added NVML info about GPU memory/utilization (#93)
• Enabled ADAGRAD and NESTEROV as alternative solver types (@drozdvadym in #102)
• Added scripts to download standard datasets MNIST and CIFAR
• Added option to set server name (#111)
• Added support for PPM images (#123)
• Enabled path autocompletion while setting values in the configuration (#96)

Changes

• Added a python classification example (#147)
• Subtract mean pixel during training (#169)
• Added TravisCI integration to run tests (#28)
• Added Coveralls integration for test coverage
• Added Landscape integration to inspect code
• Added auto-generated documentation of the webapp’s HTTP routes
• Switched to loading config files from new, more logical locations (#96)
• Started suppressing most of Caffe’s raw output (b382e99, 019bc6c)
• Added a CLA

Bugfixes

• Fixed various OSX platform-specific issues (#32, @trivedigaurav in #94)

Known Issues

• Some motherboards cause P2P bandwidth issues (NVIDIA/caffe#10)

DIGITS 2.0 RC

See release notes for v2.0.0-preview.

New since 2.0 Preview

• Recommend NVIDIA/Caffe v0.13(5dc0f8e)
  • Requires cuDNN v3
• Subtract mean pixel during training (#169)
• Fixes regarding deployment of digits-server (c9a9dce, e7bbc63)

DIGITS 2.0 Preview

New Features

• Enabled support for multi-GPU Caffe (#92)
  • Select multiple and/or specific GPUs for training (#92, #104)
• Created new routes for JSON REST API (#134, #136)
• Started using GPU for inference (#66)
• Added NVML info about GPU memory/utilization (#93)
• Enabled ADAGRAD and NESTEROV as alternative solver types (@drozdvadym in #102)
• Added scripts to download standard datasets MNIST and CIFAR
• Added option to set server name (#111)
• Added support for PPM images (#123)
• Enabled path autocompletion while setting values in the configuration (#96)

Changes

• Added a python classification example (#147)
• Added TravisCI integration to run tests (#28)
• Added Coveralls integration for test coverage
• Added Landscape integration to inspect code
• Added auto-generated documentation of the webapp’s HTTP routes
• Switched to loading config files from new, more logical locations (#96)
• Started suppressing most of Caffe’s raw output (b382e99, 019bc6c)
• Added a CLA

Bugfixes

• Fixed various OSX platform-specific issues (#32, @trivedigaurav in #94)

Known Issues

• Some motherboards cause P2P bandwidth issues (NVIDIA/caffe#10)

DIGITS 1.1.2

See release notes for v1.1.0.

New since 1.1.0

• Fixed a few things in the documentation (6ab2d6f)
• Fixed upgrade path for datasets and jobs created with older versions of DIGITS (6a838e0)