Models and examples built with TensorFlow
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pkulzc Minor fixes for object detection.
214018767  by Zhichao Lu:

    Add original_image_spatial_shape tensor in input dictionary to store shape of the original input image

213914693  by lzc:

    Internal change.

213872175  by Zhichao Lu:

    This CL adds a Keras-based mobilenet_v2 feature extractor for object detection models.

    As part of this CL, we use the Keras mobilenet_v2 application's keyword argument layer injection API to allow the generated network to support the object detection hyperparameters.

213848499  by Zhichao Lu:

    Replace tf.image.resize_nearest_neighbor with tf.image.resize_images. tf.image.resize_nearest_neighbor only supports 4-D tensors but masks is a 3-D tensor.

213758622  by lzc:

    Internal change.


PiperOrigin-RevId: 214018767
Latest commit 1f48409 Sep 21, 2018

TensorFlow Models

This repository contains a number of different models implemented in TensorFlow:

The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here.

The research models are a large collection of models implemented in TensorFlow by researchers. They are not officially supported or available in release branches; it is up to the individual researchers to maintain the models and/or provide support on issues and pull requests.

The samples folder contains code snippets and smaller models that demonstrate features of TensorFlow, including code presented in various blog posts.

The tutorials folder is a collection of models described in the TensorFlow tutorials.

Contribution guidelines

If you want to contribute to models, be sure to review the contribution guidelines.


Apache License 2.0