Marcel 89a18c430e fix(training): limit CPU threads and epochs to prevent RAM exhaustion ...

Force CPU-only training (--device cpu), cap OpenMP/BLAS thread pool at 2
(--threads 2), and reduce epochs from 50 to 10 (-N 10). 50 epochs on a
laptop OOM-killed the container. 10 epochs is sufficient for incremental
fine-tuning runs; more data is added over time and training re-run.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-13 21:09:13 +02:00

..

engines

fix(ocr): use cw-1/ch-1 for synthetic baseline bounds to pass Kraken's >= check

2026-04-13 16:21:00 +02:00

.dockerignore

fix(docker): soften ocr-service dependency and clean up compose

2026-04-13 12:29:21 +02:00

confidence.py

feat(ocr): per-script-type confidence thresholds

2026-04-12 20:50:59 +02:00

Dockerfile

feat(ocr): add /train endpoint to OCR service and OcrClient.trainModel()

2026-04-13 14:40:53 +02:00

main.py

fix(training): limit CPU threads and epochs to prevent RAM exhaustion

2026-04-13 21:09:13 +02:00

models.py

feat(ocr): add guided OCR mode using existing annotation regions

2026-04-13 15:57:54 +02:00

requirements.txt

fix(ocr): add pyvips for kraken PDF input support

2026-04-12 20:11:14 +02:00

test_confidence.py

feat(ocr): per-script-type confidence thresholds

2026-04-12 20:50:59 +02:00

test_engines.py

test(ocr): add business-logic tests for polygon extraction, Kraken routing, and confidence markers

2026-04-13 10:34:23 +02:00

test_stream.py

feat(ocr): add SSRF protection for PDF URL downloads

2026-04-13 12:29:42 +02:00