ffc64cceb0
Other implementations were unstable due to the use of random numbers. This seems to be fast and also enables us to search specific parts of an image. 16 colors are indexed (Material Design). |
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| assets | ||
| cmd/photoprism | ||
| configs | ||
| docker | ||
| frontend | ||
| internal | ||
| scripts | ||
| .dockerignore | ||
| .gitignore | ||
| .travis.yml | ||
| codecov.yml | ||
| CONTRIBUTING.md | ||
| docker-compose.travis.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
| SPONSORS.md | ||
PhotoPrism: Browse your life in pictures
PhotoPrism is a server-based application for browsing, organizing and sharing your personal photo collection. It makes use of the latest technologies to automatically tag and find pictures without getting in your way. Say goodbye to solutions that force you to upload your visual memories to the cloud or pay monthly fees.
More screenshots: https://photoprism.org/#screenshots
What to expect
- Clearly structured Web interface for browsing, organizing and sharing your personal photo collection.
- Import everything without worrying about duplicates or RAW to JPEG conversion.
- Reverse geocoding and automated tagging based on Google TensorFlow.
- No monthly costs. No proprietary formats. No privacy concerns.
For the early birds
You're welcome to play with our demo at demo.photoprism.org. Leave your email to get a release notification.
Step-by-step installation instructions can be found in our User Guide. Developers can skip this and move on to the Developer Guide.
All you need is a Web browser and Docker to run the server. It is available for Mac, Linux and Windows. Note that we just started working on the UI and features are neither complete nor stable. We plan to ship the final app as a single binary including all dependencies.
If you have a question, don't hesitate to ask in our help forum or contact us via email.
Why this has to be free software
The development of every commercial product is focused on monetization. We've built similar apps more than once and every single time the constraints of working in a profit-oriented corporate environment were an impediment.
We are sure we can do better with only a fraction of the budget. Simplicity - the art of maximizing the amount of work not done - can be very powerful. Go itself is a great example.
Our long-term goal is to become an open platform for machine learning research based on real-world photo collections.
How to contribute
We welcome contributions of any kind. If you have a bug or an idea, read our guide before opening an issue. Issues labeled help wanted / easy can be good (first) contributions.
You'll get a small reward for working on funded issues, see issuehunt.io for details. Note that issue descriptions may be outdated on their site. Rewards are paid out when all acceptance criteria prioritized as MUST are met and your pull request was successfully merged.
Please join our developers mailing list to receive regular project updates and discuss development related topics. Don't be afraid to ask stupid questions.
Donations
We don't want to ask individuals for a donation at the moment. Please leave a star if you like this project, it provides enough motivation to keep going. Thank you very much! <3
If you still want to donate, you can do so via Liberapay and PayPal. It really means a lot to us as we haven't received any major financial support so far and are funding this project from our personal savings.
Sponsorship
Please reach out to us if you work for an organization that can support our project as we are looking for a way to continue doing this full-time. We'll be happy to mention your contribution plus you'll get a direct line to our team of top-class engineers and scientists.
See SPONSORS.md for details.