tensorflow / tensorflow/tensorboard
Support SVGs on the image dashboard
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Description
Migrated from https://github.com/tensorflow/tensorflow/issues/10207.
@thinxer says:
TensorBoard supports image summaries, which is great for visualization. However, TensorFlow doesn't have rich operators for drawing, and people have to rely on Python libraries like PIL or cv2 for rendering. Those libraries typically use software rendering and are not very fast.
Considering TensorBoard is a web app, and browsers already have rich support for rendering, why don't we offload the rendering to browsers? For example, SVG is a simple XML format, which supports vector graphics, text and embedded bitmap images. Outputting an SVG seems to be a fairly easy job with some text templates.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by locating the image dashboard and its existing image-summary rendering, then trace how image data reaches the browser. Done means SVG image summaries render correctly in the dashboard, with appropriate coverage for the supported input.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- frontend, web-dev
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100