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Data structures for running TensorFlow Object Detection API models

Project description


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detection-models
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:target: https://pypi.python.org/pypi/detection_models

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:target: https://travis-ci.org/gavincmartin/detection_models

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:target: https://detection-models.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status




This library abstracts out many of the low-level operations of the TensorFlow
Object Detection API and provides an object-oriented approach to detecting
objects with frozen inference graphs.

* Free software: MIT license
* Documentation: https://detection-models.readthedocs.io.
* Demo: https://github.com/autognc/detection-models/blob/master/detection_models_demo.ipynb

Installation
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This 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:

1. Install the TensorFlow Object Detection API (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md).

2. Install `detection-models` from PyPI.
.. code::
pip install detection-models


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History
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0.1.2 (2019-04-08)
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* Added ObjectDetector and DetectedObject classes and subclasses
* Added demo


0.1.1 (2019-04-01)
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* Updated setup.py to reflect correct repo homepage


0.1.0 (2019-04-01)
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* First release on PyPI.


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