Metadata-Version: 2.1
Name: thelper
Version: 0.3.8
Summary: Training framework & tools for PyTorch-based machine learning projects.
Home-page: https://github.com/plstcharles/thelper
Author: Pierre-Luc St-Charles
Author-email: stcharpl@crim.ca
License: Apache Software License 2.0
Description: ========
        Overview
        ========
        
        
        
        This package provides a training framework and CLI for PyTorch-based machine learning projects. This is free
        software distributed under the `Apache Software License version 2.0`__ built by researchers and developers
        from the Centre de Recherche Informatique de Montréal / Computer Research Institute of Montreal (CRIM).
        
        .. __: <https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)>
        
        To get a general idea of what this framework can be used for, visit the `FAQ page
        <https://thelper.readthedocs.io/en/latest/faq.html>`_. For installation instructions, refer to the
        `installation guide <https://thelper.readthedocs.io/en/latest/installation.html>`_. For usage instructions,
        refer to the `user guide <https://thelper.readthedocs.io/en/latest/user-guide.html>`_. The auto-generated
        documentation is available via `readthedocs.io <https://thelper.readthedocs.io/en/latest/>`_.
        
        
        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 <https://github.com/audreyr/cookiecutter>`_
        via `ionelmc's template <https://github.com/ionelmc/cookiecutter-pylibrary>`_.
        
        .. _changelog:
        
        Changelog
        =========
        
        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).
        
Keywords: pytorch,trainer,loader
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: ~=3.6
Description-Content-Type: text/x-rst
Provides-Extra: rst
