tensorflow / tensorflow/tensorboard
Feature request: Support image metadata in embedding visualizer
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- Dominant language
- TypeScript
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Description
I'd like to use TensorBoard to visualize an embedding for training data. I have ~100K images, that are 1000x1000. The images are too large for the sprite thumbnails -- as per the docs, it appears that the sprite loader supports a total resolution of 8192 x 8192.
Is there a way I could attach my images to the metadata card?
While the existing metadata.tsv parser only supports text data, it seems like I could achieve this functionality by editing the HTML here. It would be nice to have a more elegant solution -- perhaps by linking metadata to existing TensorBoard image summary visualizations.
Any suggestions / comments are appreciated, thanks.
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Research direction
Start with tensorboard/plugins/projector/vz_projector/vz-projector-metadata-card.html near the referenced line and read the embedding visualizer documentation linked in the issue. Clarify how image metadata should connect to existing TensorBoard image summaries and define completion as displaying the requested training images in the metadata card without relying on the sprite resolution limit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- html, typescript
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100