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
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 bypython 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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE
for more information.
Acknowledgements
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