graph-based-image-classification

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graph-based-image-classification

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Implementation of Planar Graph Convolutional Networks in TensorFlow

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# A TensorFlow implementation of Graph-based Image Classification

[![Build Status][build-image]][build-url]
[![Code Coverage][coverage-image]][coverage-url]
[![Requirements Status][requirements-image]][requirements-url]
[![Code Climate][code-climate-image]][code-climate-url]
[![Code Climate Issues][code-climate-issues-image]][code-climate-issues-url]

This is a TensorFlow implementation based on my "[Graph-based Image
Classification](https://github.com/rusty1s/deep-learning/tree/master/thesis)"
master thesis.

## Requirements

Project is tested on Python 2.7, 3.4 and 3.5.

To install the additional required python packages, run:

```bash
pip install -r requirements.txt
```

## Miniconda

If you have [Miniconda
installed](http://conda.pydata.org/docs/install/quick.html#miniconda-quick-install-requirements),
you can simply run

```bash
./bin/install.sh <name>
```

to install all dependencies (including TensorFlow and nauty/pynauty) in a new
conda environment with name `<name>`.

For configuration and usage of the install script, run:

```bash
./bin/install.sh --help
```

To install Miniconda, run

```bash
./bin/conda.sh
```

and add `~/.miniconda/bin` to your path.

## Running tests

Install the test requirements:

```bash
pip install -r requirements_test.txt
```

Run the test suite:

```bash
./bin/test.sh
```

## Package structure

* `bin`: Shell scripts to test and install.
* `data`: Contains the datasets and helper methods to access and write
  datasets.
* `grapher`: Graph generating algorithms.
* `model`: Wrapper for learning CNNs based on a simple JSON network structure
  file.
* `networks`: Contains all network structures that were used for training and
  evaluation.
* `patchy`: PatchySan implementation.
* `segmentation.algorithm`: Segmentation algorithms.
* `segmentation`: Extracts segment features and spatial neighborhood
  information based on a given segmentation.

[build-image]: https://travis-ci.org/rusty1s/graph-based-image-classification.svg?branch=master
[build-url]: https://travis-ci.org/rusty1s/graph-based-image-classification
[coverage-image]: https://img.shields.io/codecov/c/github/rusty1s/graph-based-image-classification.svg
[coverage-url]: https://codecov.io/github/rusty1s/graph-based-image-classification?branch=master
[requirements-image]: https://requires.io/github/rusty1s/graph-based-image-classification/requirements.svg?branch=master
[requirements-url]: https://requires.io/github/rusty1s/graph-based-image-classification/requirements/?branch=master
[code-climate-image]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/badges/gpa.svg
[code-climate-url]: https://codeclimate.com/github/rusty1s/graph-based-image-classification
[code-climate-issues-image]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/badges/issue_count.svg
[code-climate-issues-url]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/issues

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