{"id":13535549,"url":"https://github.com/rusty1s/graph-based-image-classification","last_synced_at":"2025-04-30T13:21:42.192Z","repository":{"id":94688603,"uuid":"73918112","full_name":"rusty1s/graph-based-image-classification","owner":"rusty1s","description":"Implementation of Planar Graph Convolutional Networks in 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Classification:"],"sub_categories":[],"readme":"# A TensorFlow implementation of Graph-based Image Classification\n\n[![Build Status][build-image]][build-url]\n[![Code Coverage][coverage-image]][coverage-url]\n[![Requirements Status][requirements-image]][requirements-url]\n[![Code Climate][code-climate-image]][code-climate-url]\n[![Code Climate Issues][code-climate-issues-image]][code-climate-issues-url]\n\nThis is a TensorFlow implementation based on my \"[Graph-based Image\nClassification](https://github.com/rusty1s/deep-learning/tree/master/thesis)\"\nmaster thesis.\n\n## Requirements\n\nProject is tested on Python 2.7, 3.4 and 3.5.\n\nTo install the additional required python packages, run:\n\n```bash\npip install -r requirements.txt\n```\n\n## Miniconda\n\nIf you have [Miniconda\ninstalled](http://conda.pydata.org/docs/install/quick.html#miniconda-quick-install-requirements),\nyou can simply run\n\n```bash\n./bin/install.sh \u003cname\u003e\n```\n\nto install all dependencies (including TensorFlow and nauty/pynauty) in a new\nconda environment with name `\u003cname\u003e`.\n\nFor configuration and usage of the install script, run:\n\n```bash\n./bin/install.sh --help\n```\n\nTo install Miniconda, run\n\n```bash\n./bin/conda.sh\n```\n\nand add `~/.miniconda/bin` to your path.\n\n## Running tests\n\nInstall the test requirements:\n\n```bash\npip install -r requirements_test.txt\n```\n\nRun the test suite:\n\n```bash\n./bin/test.sh\n```\n\n## Package structure\n\n* `bin`: Shell scripts to test and install.\n* `data`: Contains the datasets and helper methods to access and write\n  datasets.\n* `grapher`: Graph generating algorithms.\n* `model`: Wrapper for learning CNNs based on a simple JSON network structure\n  file.\n* `networks`: Contains all network structures that were used for training and\n  evaluation.\n* `patchy`: PatchySan implementation.\n* `segmentation.algorithm`: Segmentation algorithms.\n* `segmentation`: Extracts segment features and spatial neighborhood\n  information based on a given segmentation.\n\n[build-image]: https://travis-ci.org/rusty1s/graph-based-image-classification.svg?branch=master\n[build-url]: https://travis-ci.org/rusty1s/graph-based-image-classification\n[coverage-image]: https://img.shields.io/codecov/c/github/rusty1s/graph-based-image-classification.svg\n[coverage-url]: https://codecov.io/github/rusty1s/graph-based-image-classification?branch=master\n[requirements-image]: https://requires.io/github/rusty1s/graph-based-image-classification/requirements.svg?branch=master\n[requirements-url]: https://requires.io/github/rusty1s/graph-based-image-classification/requirements/?branch=master\n[code-climate-image]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/badges/gpa.svg\n[code-climate-url]: https://codeclimate.com/github/rusty1s/graph-based-image-classification\n[code-climate-issues-image]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/badges/issue_count.svg\n[code-climate-issues-url]: https://codeclimate.com/github/rusty1s/graph-based-image-classification/issues\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frusty1s%2Fgraph-based-image-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frusty1s%2Fgraph-based-image-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frusty1s%2Fgraph-based-image-classification/lists"}