Changelog

Unreleased (latest)

• Remove extra code for infer mode to setup Tester session runner.
• Retrieve model type from upper level config dictionary if available without failing (case encountered following exported model checkpoint during reload).
• Fix dumping of JSON configurations with non-serializable Tensors during infer mode.
• Fix imports of GDAL package whether available via osgeo or directly.
• Refactor replicated ColorMap and dontcare/background operations into specific handlers.
• Add demo configuration for inference of Segmentation tasks using geo-based model.
• Add thelper.train.utils.SegmOutputGenerator to report Segmentation inference results.

0.6.2 (2020/10/01)

• Added SelectChannels transform operator for inplace sample modifications that might need it.

0.6.1 (2020/07/29)

• Fixed conda package builds for tagged deployments

0.6.0 (2020/07/28)

• Refactored and cleaned up HDF5 data extraction/parsing classes
• Added dataset interfaces for BigEarthNet, Agri-Vis challenge
• Update classification task to allow multi-label classification
• Added activation layer customization for in-framework ResNet archs
• Updated default move_tensor behavior to be non-blocking
• Added trainer implementation for auto-encoder-type models
• Added Orion reporting support for hyperparameter explorations
• Added SLURM cluster utilities (tmpdir getter, launch scripts)

0.5.0 (2020/07/21)

• Skip image save call during metric rendering if the provided value is None as employed by basic logger/reporter.
• Add JSON implementation for thelper.train.utils.ClassifLogger.
• Fix concepts to handle any variation of upper/lower concept name.

0.5.0-rc2 (2020/07/08)

• Employ requirements.txt within conda-env.yml to kept dependencies in sync.
• Fixes built docker image not using appropriate dependencies enforced through requirements.txt.

0.5.0-rc1 (2020/07/07)

• Fix version comparison check when validating configuration and/or checkpoint against package version. Version can now have a release part which was not considered.
• Fix incorrect calculation of sample coordinates in thelper.data.geo.parsers.SlidingWindowDataset.
• Remove not_skip = __init__.py config option for isort since __init__.py is included since 4.3.5. Also force isort<5 since many import checks break suddenly (e.g.: direct import with as alias break).

0.5.0-rc0 (2020/04/25)

• Update this changelog to use rst links (renders on github and readthedocs)
• Add infer mode for classification of geo-referenced rasters
• Add Dockerfile-geo to build thelper with pre-installed geo packages
• Add geo-related build instructions to travis-ci build steps
• Add auto-documentation of makefile targets and docker related targets

0.4.7 (2019/11/20)

• Removed optional dependencies from conda build env

0.4.6 (2019/11/20)

• Travis deploy test w/ split conda/docker stages

0.4.5 (2019/11/18)

• Split travis deploy stage into two phases
• Fixed draw_segment threshold usage & params lookup
• Fixed FCResNet embedding getter wrt latest pooling update
• Update all matplotlib plots to use 160 dpi by default
• Refactor trainer data/metric writer to save all viz data

0.4.4 (2019/11/18)

• Added viz pkg w/ t-SNE & UMAP support for in-trainer usage
• Fixed geo pkg documentation build issue related to mocking
• Fixed type and output format checks in numerous metrics
• Updated all callback readers to rely on new utility function
• Cleaned and optimize coordconv implementation
• Added U-Net architecture implementation to nn package
• Added IoU metric implementation
• Added support for SRM kernels and SRM convolutions
• Updated documentation (install, faq, maintenance)
• Added fixed weight sampler to data package
• Added lots of extra unit tests
• Added efficientnet 3rd-party module wrapper
• Fixed potential conflicts in task class names ordering

0.4.3 (2019/11/06)

• Fixed pytest-mock scope usage in metrics utests

0.4.2 (2019/11/06)

• Updated common resnet impl to support segmentation heads
• Fixed samples usage for auto-weighting of loss functions
• Cleaned up samples usage in loader factory data splitter
• Add GDL compatibility module to geo package
• Fix segmentation task dontcare default color mapping
• Cleaned up and simplified coordconv implementation
• Update segmentation trainer to use long-typed label maps
• Cleaned up augmentor/albumentations demo configurations

0.4.1 (2019/10/15)

• Removed travis check in deploy stage for master branch

0.4.0 (2019/10/11)

• Added geo subpackage
• Added geo vector/raster parsing classes
• Added ogc module for testbed15-specific utilities
• Added testbed15 train/viz configuration files
• Cleaned up makefile targets & coverage usage
• Replaced tox build system with makefile completely
• Merged 3rdparty configs into setup.cfg
• Updated travis to rely on makefile directly

0.3.14 (2019/09/30)

• Added extra logging calls in trainer and framework utils
• Cleaned up data configuration parsing logger calls
• Bypassed full device check when specific one is requested

0.3.13 (2019/09/26)

• Moved drawing utilities to new module
• Cleaned up output root/save directory parsing
• Cleaned up potential circular imports
• Moved optional dependency imports inside relevant functions
• Added support for root directory specification via config
• Updated config load/save to make naming optional

0.3.12 (2019/09/13)

• Fixed potential issue when reinstantiating custom ResNet
• Fixed ClassifLogger prediction logger w/o groundtruth

0.3.11 (2019/09/09)

• Add cli/config override for task compatibility mode setting

0.3.10 (2019/09/05)

• Cleaned up dependency lists, docstrings
• Fixed bbox iou computation with mixed int/float
• Fixed dontcare label deletion in segmentation task
• Cleaned up training session output directory localization
• Fixed object detection trainer empty bbox lists
• Fixed exponential parsing with pyyaml
• Fixed bbox display when using integer coords values

0.3.9 (2019/08/20)

• Fixed collate issues for pytorch >= 1.2
• Fixed null-size batch issues
• Cleaned up params#kwargs parsing in trainer
• Added pickled hashed param support utils
• Added support for yaml-based session configuration
• Added concept decorators for metrics/consumer classes
• Cleaned up shared interfaces to fix circular dependencies
• Added detection (bbox) logger class

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

0.3.1 (2019/06/17)

• Fix metrics RawPredictions not returning predictions during eval
• Fix parsing of checkpoint base path

0.3.0 (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

0.2.5 (2019/01/29)

• Fix travis-ci conda build/env path

0.2.4 (2019/01/29)

• Fix travis-ci conda channel setup

0.2.3 (2019/01/29)

• Fix openssl dependency

0.2.2 (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).