Unreleased (latest)
- Remove extra code for
infer
mode to setupTester
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
anddontcare
/background
operations into specific handlers. - Add demo configuration for inference of
Segmentation
tasks using geo-based model. - Add
thelper.train.utils.SegmOutputGenerator
to reportSegmentation
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
withinconda-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 forisort
since__init__.py
is included since4.3.5
. Also forceisort<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).