thelper 0.3.9

Notes

Development is still on-going — the API and internal classes may change in the future.

The project’s structure was originally generated by cookiecutter via ionelmc’s template.

0.3.8 (2019/08/08)

• Fixed nn modules constructor args forwarding

• Updated class importer to allow parsing of non-package dirs

• Fixed file-based logging from submodules (e.g. for all data)

• Cleaned and API-fied the CLI entrypoints for external use

0.3.7 (2019/07/31)

• Fixed travis timeouts on long deploy operations

• Added output path to trainer callback impls

• Added new draw-and-save display callback

• Added togray/tocolor transformation operations

• Cleaned up matplotlib use and show/block across draw functions

• Fixed various dependency and logging issues

0.3.6 (2019/07/26)

• Fixed torch version checks in custom default collate impl

• Fixed bbox predictions forwarding and evaluation in objdetect

• Refactored metrics/callbacks to clean up trainer impls

• Added pretrained opt to default resnet impl

• Fixed objdetect trainer display and prediction callbacks

0.3.5 (2019/07/23)

• Refactored metrics/consumers into separate interfaces

• Added unit tests for all metrics/prediction consumers

• Updated trainer callback signatures to include more data

• Updated install doc with links to anaconda/docker hubs

• Cleaned drawing functions args wrt callback refactoring

• Added eval module to optim w/ pascalvoc evaluation funcs

0.3.4 (2019/07/12)

• Fixed issues when reloading objdet model checkpoints

• Fixed issues when trying to use missing color maps

• Fixed backward compat issues when reloading old tasks

• Cleaned up object detection drawing utilities

0.3.3 (2019/07/09)

• Fixed travis conda build dependencies & channels

0.3.2 (2019/07/05)

• Update documentation use cases (model export) & faq

• Cleanup module base class config backup

• Fixed docker build and automated it via travis

0.3.0 - 0.3.1 (2019/06/12)

• Added dockerfile for containerized builds

• Added object detection task & trainer implementations

• Added CLI model/checkpoint export support

• Added CLI dataset splitting/HDF5 support

• Added baseline superresolution implementations

• Added lots of new unit tests & docstrings

• Cleaned up transform & display operations

0.2.8 (2019/03/17)

• Cleaned up build tools & docstrings throughout api

• Added user guide in documentation build

• Update tasks to allow dataset interface override

• Cleaned up trainer output logs

• Added fully convolutional resnet implementation

• Fixup various issues related to fine-tuning via ‘resume’

0.2.7 (2019/02/04)

• Updated conda build recipe for python variants w/ auto upload

0.2.6 (2019/01/31)

• Added framework checkpoint/configuration migration utilities

• Fixed minor config parsing backward compatibility issues

• Fixed minor bugs related to query & drawing utilities

0.2.2 - 0.2.5 (2019/01/29)

• Fixed travis-ci matrix configuration

• Added travis-ci deployment step for pypi

• Fixed readthedocs documentation building

• Updated readme shields & front page look

• Cleaned up cli module entrypoint

• Fixed openssl dependency issues for travis tox check jobs

• Updated travis post-deploy to try to fix conda packaging (wip)

0.2.1 (2019/01/24)

• Added typedef module & cleaned up parameter inspections

• Cleaned up all drawing utils & added callback support to trainers

• Added support for albumentation pipelines via wrapper

• Updated all trainers/schedulers to rely on 0-based indexing

• Updated travis/rtd configs for auto-deploy & 3.6 support

0.2.0 (2019/01/15)

• Added regression/segmentation tasks and trainers

• Added interface for pascalvoc dataset

• Refactored data loaders/parsers and cleaned up data package

• Added lots of new utilities in base trainer implementation

• Added new unit tests for transformations

• Refactored transformations to use wrappers for augments/lists

• Added new samplers with dataset scaling support

• Added baseline implementation for FCN32s

• Added mae/mse metrics implementations

• Added trainer support for loss computation via external members

• Added utils to download/verify/extract files

0.1.1 (2019/01/14)

• Minor fixups and updates for CCFB02 compatibility

• Added RawPredictions metric to fetch data from trainers

0.1.0 (2018/11/28)

• Fixed readthedocs sphinx auto-build w/ mocking.

• Refactored package structure to avoid env issues.

• Rewrote seeding to allow 100% reproducible sessions.

• Cleaned up config file parameter lists.

• Cleaned up session output vars/logs/images.

• Add support for eval-time augmentation.

• Update transform wrappers for multi-channels & lists.

• Add gui module w/ basic segmentation annotation tool.

• Refactored task interfaces to allow merging.

• Simplified model fine-tuning via checkpoints.

0.0.2 (2018/10/18)

• Completed first documentation pass.

• Fixed travis/rtfd builds.

• Fixed device mapping/loading issues.

0.0.1 (2018/10/03)

• Initial release (work in progress).