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Store a feature vector for every detection and show what happened to each occurrence in one timeline - #1439

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mihow wants to merge 49 commits into

feat/tracking-uifrom

feat/occurrence-history-and-embeddings

Commits on Sep 28, 2026
- feat(ml): store a feature vector for every detection the processing service sends
  
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- feat(tracking): compare detections by their stored embeddings in tracking and merge ranking
  
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- fix(exports): count a detection embedding as a feature vector in the tracks CSV
  
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- feat(embeddings): name the stored vector "vector" and record the job that stored it
  
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- test: move the capture feature-count test back into its own test case
  
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- feat(occurrences): store an occurrence's algorithm results and reviews as history records
  
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- feat(occurrences): record tracking, class masking, the size filter and track reviews in occurrence history
  
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- feat(occurrences): show everything that happened to an occurrence at /occurrences/{id}/history/
  
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- fix(post-processing): save the size filter's last batch when its final detection is skipped
  
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- fix(occurrences): open the history of an occurrence the default filters hide
  
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- fix(occurrences): keep track reviews true to who confirmed which detections
  
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- feat(ui): read an occurrence's history as one list of timeline cards
  
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- feat(ui): show identifications, predictions, algorithm results and reviews in one timeline
  
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- fix(ui): keep a masked classifier's prediction agreeable when the determination differs
  
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- fix(ui): stop a prediction without an algorithm from linking to a blank algorithm page
  
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- fix(occurrences): let the server say whether a track changed since it was confirmed
  
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- fix(ui): advance to the next occurrence after confirming from a timeline card
  
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- fix(ui): show the occurrence timeline without a spinner while its history loads
  
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- fix(ui): stop labelling signed-in users without a display name as anonymous
  
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- fix(ui): translate the determination change on algorithm result cards
  
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- fix(occurrences): post a track review only when the detections or the confirming person changed
  
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- fix(occurrences): show one prediction per algorithm in the occurrence history
  
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- fix(ui): advance to the next occurrence only when a timeline card confirms the current ID
  
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- fix(ui): label unnamed users the same way in the session viewer and project summary
  
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- test: count the occurrence history queries in the multi-frame merge budget
  
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- fix(ui): show one prediction per algorithm in the timeline before its history loads
  
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- style: collapse the tracking task import in the capture matcher onto one line
  
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- test: read stored embedding vectors as plain lists
  
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- feat(embeddings): store vectors of any length and fill them in for existing detections
  
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- feat(tracking): compare the project's default feature extractor when a session has several
  
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- docs: describe how detection embeddings are stored, filled in and chosen for tracking [skip ci]
  
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- docs: index the detection embeddings reference [skip ci]
  
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- fix(embeddings): drop the fixed vector length on databases that ran an earlier draft of the embeddings table
  
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- fix(tracking): default to the feature extractor that covers the most detections in a session
  
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- fix(ml): keep the Collect stage heartbeat when a feature-only pipeline filters images
  
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- fix(ml): never queue a feature-only task without boxes to embed
  
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- docs: describe the coverage-based default extractor, the vector-length repair migration and the feature-only queue rules [skip ci]
  
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- fix(ml): treat a pipeline as feature-only when it lists a detector beside its feature extractor
  
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- fix(ml): stop reprocessing classified captures when a classifier pipeline also embeds
  
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- test: accept embedding vectors of any length in the results schema
  
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Commits on Sep 29, 2026
- fix(ml): only treat a pipeline as feature-only when every other algorithm is a detector
  
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- Merge #1432 into the history and embeddings branch
  
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- fix(ml): read embedding vectors only from the "features" key
  
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- fix(ml): fail a feature-only job whose returned boxes match no detection
  
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- fix(ml): fail a feature-only batch that stores no vector, and count detections left without one
  
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Commits on Sep 30, 2026
Commits on Oct 2, 2026
- Merge the tracking server PR's review fixes, through the tracking UI PR
  
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Commits

Commits on Sep 28, 2026

Commits on Sep 29, 2026

Commits on Sep 30, 2026

Commits on Oct 2, 2026