🦖 DINO Explorer 🦖

DINO Explorer is a powerful tool designed to explore and visualize DINOv2 embeddings. Given a list of folders containing images, DINO Explorer extracts their DINO embeddings and creates an interactive visualization using Voxel51.

🚀 Usage

Note: Input folders must be separated by spaces.

• To create a UMAP visualization, use the following command:

diex <folder 1> .. <folder N>

Diex uses UMAP for dimension reduction by default.

• For t-SNE or PCA visualizations, use the --m option followed by tsne or pca:

diex <folder 1> .. <folder N> --m tsne

• To host the visualization on a specific port, use the --p option:

diex <folder 1> .. <folder N> --p <port>

• To set a specific GPU device, use the --d option:

diex <folder 1> .. <folder N> --d <gpu number>

After running the command, go to the add section, select embeddings, choose the brain key: img_viz and voila! You have your visualization.

Tip: For multiple folders, select Color by as tags.

💾 Caching Embeddings

DINO Explorer stores DINO embeddings for all datasets in a .cache directory to allow quick loading in subsequent visualizations. To force regeneration of embeddings, use the --force or --f option.

Note: These embeddings can also be used for other downstream tasks. Load them with torch.load().

📖 Examples

1. NuImages - A random set of 1000 images from NuImages

   diex nuimages_1000

   A. Embeddings: Interactive 2D visualization of embeddings

   B. Embeddings to Image Mapping: Select embeddings to view corresponding images

2. NuImages × CityScapes - A random set of 1000 and 600 images from the datasets.

   diex nuimages_1000 cityscapes_1000

   Clusters for different datasets, each with a different color.

🙏 Credits

• Model used: facebook/dinov2-giant
• Visualization tool: Voxel51

For any issues encountered while using DINO Explorer, please open an issue on our GitHub repository. We appreciate your feedback and contributions!