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perf(ocr): double batch sizes (detector=8, recognition=16)
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4GB headroom in the container. Doubling batches should use ~2GB
more RAM but significantly speed up inference.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-04-12 23:23:13 +02:00
parent 1b7540143e
commit 0b0d4a7d5e
1 changed files with 2 additions and 2 deletions
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docker-compose.yml
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@@ -87,8 +87,8 @@ services:
KRAKEN_MODEL_PATH: /app/models/german_kurrent.mlmodel KRAKEN_MODEL_PATH: /app/models/german_kurrent.mlmodel
OCR_CONFIDENCE_THRESHOLD: "0.3" OCR_CONFIDENCE_THRESHOLD: "0.3"
OCR_CONFIDENCE_THRESHOLD_KURRENT: "0.5" OCR_CONFIDENCE_THRESHOLD_KURRENT: "0.5"
RECOGNITION_BATCH_SIZE: "8" RECOGNITION_BATCH_SIZE: "16"
DETECTOR_BATCH_SIZE: "4" DETECTOR_BATCH_SIZE: "8"
networks: networks:
- archive-net - archive-net
healthcheck: healthcheck: