Product recognition demo for supermarket shelf images
test_engine: detection normalization, one-caller-at-a-time detection, method validation, undecodable payloads, crop isolation, classify_boxes accepting the detection dicts the API actually hands it, summary counting, empty-slot normalization across frame sizes, the still-image store (roundtrip, TTL, bound), catalog/stock behaviour, and template-image path resolution that refuses anything outside the catalog. test_tracking: per-session id numbering, the case that matters (constructing a second tracker must not reset a running session's ids), independent sessions, pan continuity, buffer expiry producing a new id, detection index mapping, and reset scoping. Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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| recognization | ||
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