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- Drop video-understanding flow (detect-video, video-analyzer.ts) — image
search is the only path now since text/video keywords return broad results.
- Add container-aware frame selection: detect rack/holder products, restrict
ranking to the earliest 40% of frames so empty/unboxing shots win over
loaded ones (image search was matching shoes-on-rack instead of the rack).
- Switch container check from generateObject (silently fails on this model)
to generateText with a YES/NO answer.
- Add post-filter step: send the snapshot + each result's pic_url to the
vision model in batches, drop results whose category doesn't match the
detected product description. Cuts 50 raw hits to ~10 same-type matches.
- When post-filter succeeds, sort by sales directly instead of running the
keyword-intersection rerank, which was overriding good filtered results
with broad keyword fallbacks.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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- New detect-video / detect-video-and-search commands: upload video to get
public URL, analyze via LiteLLM (video_url), generate keyword, search 1688
- New src/video-analyzer.ts: upload via direct HTTP (bypasses auth-rt CLI
arg length limit), analyze via Chat Completions with video_url content
- Frame-based pipeline robustness: quality pre-filtering (skip black/blurry
frames), bounding box normalization/validation, crop failure tolerance,
Vision ranking fallback to sharpness-based selection
- Improve ranking prompt: force pick one frame, Chinese description
- Update docs to recommend detect-video-and-search as primary command
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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- SKILL.md / README.md: full Chinese translation for Chinese users
- scripts/run.ts: help text in Chinese
- src/: add detectBest and detectBestAndSearch commands
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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