A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and Use
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.
pip install tensorflow-object-detection[tf]
Or for tensorflow with GPU support,
pip install tensorflow-object-detection[tf-gpu]
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.
What's in here
- setup.py: The python packaging script.
PROTOCEnvironment variable should be set so that
setup.pycan compile as part of the
# 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.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for tensorflow_object_detection-0.0.6.tar.gz