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        "description": "\n================\ndetection-models\n================\n\n\n.. image:: https://img.shields.io/pypi/v/detection_models.svg\n        :target: https://pypi.python.org/pypi/detection_models\n\n.. image:: https://img.shields.io/travis/gavincmartin/detection_models.svg\n        :target: https://travis-ci.org/gavincmartin/detection_models\n\n.. image:: https://readthedocs.org/projects/detection-models/badge/?version=latest\n        :target: https://detection-models.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nThis library abstracts out many of the low-level operations of the TensorFlow\nObject Detection API and provides an object-oriented approach to detecting\nobjects with frozen inference graphs.\n\n* Free software: MIT license\n* Documentation: https://detection-models.readthedocs.io.\n* Demo: https://github.com/autognc/detection-models/blob/master/detection_models_demo.ipynb\n\nInstallation\n------------\nThis package is heavily dependent upon the TensorFlow Object Detection API. Unfortunately, the OD API is not packaged for install on PyPI and therefore cannot be installed automatically as a dependency when installing `detection-models` from PyPI. To successfully install and use this package, users must:\n\n1. Install the TensorFlow Object Detection API (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md).\n\n2. Install `detection-models` from PyPI.\n.. code::\n        pip install detection-models\n\n\n=======\nHistory\n=======\n\n0.1.2 (2019-04-08)\n------------------\n\n* Added ObjectDetector and DetectedObject classes and subclasses\n* Added demo\n\n\n0.1.1 (2019-04-01)\n------------------\n\n* Updated setup.py to reflect correct repo homepage\n\n\n0.1.0 (2019-04-01)\n------------------\n\n* First release on PyPI.\n\n\n",
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