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        "author": "Junjue Wang",
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        "description": "# tf_object_detection [![PyPI version][pypi-image]][pypi] [![Build Status][travis-image]][travis]\n\n[travis-image]: https://travis-ci.org/junjuew/tf_object_detection.svg?branch=master\n[travis]: http://travis-ci.org/junjuew/tf_object_detection\n\n[pypi-image]: https://badge.fury.io/py/tf-object-detection.svg\n[pypi]: https://pypi.org/project/tf-object-detection/\n\nThis is a thin wrapper around [Tensorflow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection) for easy installation and use. The original [installation procedure](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md) contains multiple manual steps that make dependency management difficult. This repository creates a pip package that automate the installation so that you can install the API with a single pip install.\n\n## Installation\n\n```\npip install tf-object-detection\n```\n\n## Usage\n\nAll the scripts from tensorflow object detection APIs work out-of-box. \nYou can find an example usages from the API's [model_main.py](https://github.com/tensorflow/models/blob/master/research/object_detection/model_main.py).\n\n```\nimport object_detection\n```\n\n\n## What's in here\n\n* [setup.py](setup.py): The python packaging script.\n* [pb2](pb2): This directory contains the compiled protobuf files from the following commands.\n\n```bash\ncd tf_object_detection/research/\nprotoc object_detection/protos/*.proto --python_out=.\nmv object_detection/protos/*_pb2.py ../../pb2/\n```\n* tf_object_detection: A git submodule pointing to the version of tensorflow object detection this thin wrapper is for.\n\n\n",
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