Frigate NVR Updates: Classification Cover Image Fix
Today's activity shows no broader pattern, just one small targeted fix. PR 24768 corrects the Classification Models cover image to skip empty categories and prevent misleading empty states.
Duration: PT1M51S
Episode overview
This episode is a short developer briefing from Frigate NVR Updates.
It explains recent repository work in plain language.
- Show: Frigate NVR Updates
- Published: 2026-10-24T13:18:55Z
- Audio duration: PT1M51S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, it's Saturday, October twenty-fourth, twenty twenty-six, and you're listening to Frigate N V R Updates.
There's no broader pattern in today's activity — just one small, targeted user-interface fix, and it's the highest-impact change by default.
The issue was in the Classification Models Objects view, where model cards showed a skeleton placeholder instead of a cover image. The old logic checked only the first usable category from the dataset A P I, after skipping none and unknown, and gave up if that category was empty. Since category order follows the…
That correction landed in P R twenty-four seven sixty-eight, recorded as commit zero four c six c two. The update selects the first category that actually contains images for the object cover. It drew one approval with brief discussion, consistent with a small, low-risk change to the model selection view.
For developers, the impact is visual reliability. An empty cover no longer implies an empty dataset, which reduces confusion when curating training data and should cut false reports about missing images. The lesson is not to assume the first entry from a directory-ordered listing is populated. Empty categories are…
What's…
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