Memory Mapper is a Python program that uses OpenAI's CLIP model to map images based on user-defined labels. This tool helps you organize and retrieve images by associating them with descriptive labels.
- Visit the website here
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Label-Image Mapping: Easily associate labels with images using the power of CLIP's vision-language understanding.
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User-Friendly Interface: Intuitive interface for adding and querying labels.
Feel free to contribute to this project by opening issues or pull requests. Your feedback and contributions are highly appreciated!
This project comes with Images that have already been mapped. But I strongly recommend you try it out with your own images. Here's how you can do it.
- Make sure the program is closed.
- Navigate to the project directory and delete the images inside the 'Full_Res_Memories' and 'Memory_Thumbnails' folders.
- Paste your own images (anything past 100 images won't be displayed)
- Launch the program. It will say it is not responding, it is mapping the images. Sit tight this could take upwards of 15 minutes.
- Enjoy!
This project is licensed under the MIT License - see the LICENSE file for details.