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        "author": "Pierre-Luc St-Charles",
        "author_email": "stcharpl@crim.ca",
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            "Development Status :: 2 - Pre-Alpha",
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            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
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        "description": "========\nOverview\n========\n\n\n\nThis package provides a training framework and CLI for PyTorch-based machine learning projects. This is free\nsoftware distributed under the `Apache Software License version 2.0`__ built by researchers and developers\nfrom the Centre de Recherche Informatique de Montr\u00e9al / Computer Research Institute of Montreal (CRIM).\n\n.. __: <https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)>\n\nTo get a general idea of what this framework can be used for, visit the `FAQ page\n<https://thelper.readthedocs.io/en/latest/faq.html>`_. For installation instructions, refer to the\n`installation guide <https://thelper.readthedocs.io/en/latest/installation.html>`_. For usage instructions,\nrefer to the `user guide <https://thelper.readthedocs.io/en/latest/user-guide.html>`_. The auto-generated\ndocumentation is available via `readthedocs.io <https://thelper.readthedocs.io/en/latest/>`_.\n\n\nNotes\n-----\n\nDevelopment is still on-going --- the API and internal classes may change in the future.\n\nThe project's structure was originally generated by `cookiecutter <https://github.com/audreyr/cookiecutter>`_\nvia `ionelmc's template <https://github.com/ionelmc/cookiecutter-pylibrary>`_.\n\n.. _changelog:\n\nChangelog\n=========\n\n0.4.1 (2019/10/15)\n------------------\n\n* Removed travis check in deploy stage for master branch\n\n0.4.0 (2019/10/11)\n------------------\n\n* Added geo subpackage\n* Added geo vector/raster parsing classes\n* Added ogc module for testbed15-specific utilities\n* Added testbed15 train/viz configuration files\n* Cleaned up makefile targets & coverage usage\n* Replaced tox build system with makefile completely\n* Merged 3rdparty configs into setup.cfg\n* Updated travis to rely on makefile directly\n\n0.3.14 (2019/09/30)\n-------------------\n\n* Added extra logging calls in trainer and framework utils\n* Cleaned up data configuration parsing logger calls\n* Bypassed full device check when specific one is requested\n\n0.3.13 (2019/09/26)\n-------------------\n\n* Moved drawing utilities to new module\n* Cleaned up output root/save directory parsing\n* Cleaned up potential circular imports\n* Moved optional dependency imports inside relevant functions\n* Added support for root directory specification via config\n* Updated config load/save to make naming optional\n\n0.3.12 (2019/09/13)\n-------------------\n\n* Fixed potential issue when reinstantiating custom ResNet\n* Fixed ClassifLogger prediction logger w/o groundtruth\n\n0.3.11 (2019/09/09)\n-------------------\n\n* Add cli/config override for task compatibility mode setting\n\n0.3.10 (2019/09/05)\n-------------------\n\n* Cleaned up dependency lists, docstrings\n* Fixed bbox iou computation with mixed int/float\n* Fixed dontcare label deletion in segmentation task\n* Cleaned up training session output directory localization\n* Fixed object detection trainer empty bbox lists\n* Fixed exponential parsing with pyyaml\n* Fixed bbox display when using integer coords values\n\n0.3.9 (2019/08/20)\n------------------\n\n* Fixed collate issues for pytorch >= 1.2\n* Fixed null-size batch issues\n* Cleaned up params#kwargs parsing in trainer\n* Added pickled hashed param support utils\n* Added support for yaml-based session configuration\n* Added concept decorators for metrics/consumer classes\n* Cleaned up shared interfaces to fix circular dependencies\n* Added detection (bbox) logger class\n\n0.3.8 (2019/08/08)\n------------------\n\n* Fixed nn modules constructor args forwarding\n* Updated class importer to allow parsing of non-package dirs\n* Fixed file-based logging from submodules (e.g. for all data)\n* Cleaned and API-fied the CLI entrypoints for external use\n\n0.3.7 (2019/07/31)\n------------------\n\n* Fixed travis timeouts on long deploy operations\n* Added output path to trainer callback impls\n* Added new draw-and-save display callback\n* Added togray/tocolor transformation operations\n* Cleaned up matplotlib use and show/block across draw functions\n* Fixed various dependency and logging issues\n\n0.3.6 (2019/07/26)\n------------------\n\n* Fixed torch version checks in custom default collate impl\n* Fixed bbox predictions forwarding and evaluation in objdetect\n* Refactored metrics/callbacks to clean up trainer impls\n* Added pretrained opt to default resnet impl\n* Fixed objdetect trainer display and prediction callbacks\n\n0.3.5 (2019/07/23)\n------------------\n\n* Refactored metrics/consumers into separate interfaces\n* Added unit tests for all metrics/prediction consumers\n* Updated trainer callback signatures to include more data\n* Updated install doc with links to anaconda/docker hubs\n* Cleaned drawing functions args wrt callback refactoring\n* Added eval module to optim w/ pascalvoc evaluation funcs\n\n0.3.4 (2019/07/12)\n------------------\n\n* Fixed issues when reloading objdet model checkpoints\n* Fixed issues when trying to use missing color maps\n* Fixed backward compat issues when reloading old tasks\n* Cleaned up object detection drawing utilities\n\n0.3.3 (2019/07/09)\n------------------\n\n* Fixed travis conda build dependencies & channels\n\n0.3.2 (2019/07/05)\n------------------\n\n* Update documentation use cases (model export) & faq\n* Cleanup module base class config backup\n* Fixed docker build and automated it via travis\n\n0.3.0 - 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