Product recognition demo for supermarket shelf images
tngo
5f6de4d48a
Vision took a crop from 5 ms to 25 ms, so re-reading the same package on every attempt was the measured cause of the live coverage collapse: 789 -> 60 crops/s at 8 workers, and 12/8/2/6 labels on the same clip at four pacings. The reading is now cached on the track and later attempts re-run only the local lane. Measured through the real server on add/image6.jpg: saturated pool 15.9 -> 49.4 crops/s (8 workers, 64 crops) per crop 142 -> 92 ms on a 300x400 crop 3 s clip, send 19.7 mean labels (15-24, unstable) -> 24.0 (23-25, stable) 12 s clip, send 48/131 -> 53/131; result pacing 53/134 -> 50/135 The 12 s numbers are within run-to-run noise; the short clip is where the pacing sensitivity lived and it is now flat across pacings. An empty read is not cached - a crop too small or too blurry to read says nothing about the next one - and the cache is cleared with the rest of the evidence on a method change or a drift relabel, so a reading never outlives the product it described. The native crop lane skips OCR on the same rule. Test: OCR runs once per track while the local lane keeps running. Disabling the skip makes it fail 2 != 1. Suite 280 -> 281. |
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| .github/workflows | ||
| recognization | ||
| .gitignore | ||