Auto-label frames with bounding boxes. Supports four modes — CUA+SAM (best accuracy, OpenAI CUA clicks + SAM segmentation), Gemini (native bbox detection), GPT vision (API fallback), or Codex vision subagents (no API keys). Parallel dispatch via git worktrees. Use after collecting frames.
How to install label?
qtzx06/yolodex/label
$npx -y skills add qtzx06/yolodex --skill labelInstalls into the current project.
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Run `npx skills use "https://github.com/qtzx06/yolodex" --skill "qtzx06/yolodex/label"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/qtzx06/yolodex" that are relevant to the current task. Run `npx skills add "https://github.com/qtzx06/yolodex"` and select the relevant skills, then follow their instructions.
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