tensorflow-image-search

A reverse image search engine powered by elastic search and tensorflow
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Introduction

Fork from sethuiyer/Image-to-Image-search.

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Getting Started

Packages Required:

• Anaconda
• Keras with Tensorflow Backend (Python 3.6)
• Elastic Search and elasticsearch-py (Elastic Search 6.0)

For more, check out requirements.txt

Pre-trained models

• Flickr-8k LSTM weights (flickr8k_cnn_lstm_v1.p)

Download this and paste it inside models folder.

Output

Tips

• Install elasticsearch and always check if elastic search process is running before launching server.py or index_database.py.

• Instead of using the upload functionality, paste all your images inside static/img folder followed by python index_database.py to index all those images.

• If you want to delete the indexed images, do sh delete_index.sh

About

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

• sethuiyer/Image-to-Image-search

• Sis

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