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A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and Use

Project description

tensorflow_object_detection PyPI version Build Status

This is a thin wrapper around Tensorflow Object Detection API for easy installation and use. The original installation procedure 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.

Installation

pip install tensorflow-object-detection[tf]

Or for tensorflow with GPU support,

pip install tensorflow-object-detection[tf-gpu]

Usage

All the scripts from tensorflow object detection APIs work out-of-box. You can find an example usages from the API's model_main.py.

import object_detection

What's in here

  • setup.py: The python packaging script.
  • PROTOC Environment variable should be set so that setup.py can compile as part of the setup.py execution.
# Download and setup all required dependencies required for tensorflow object 
# detection libarary to work correctly.
$ python setup.py install
  • tf_object_detection: A git submodule pointing to the version of tensorflow object detection this thin wrapper is for.

Project details


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