Историја ревизија

Аутор SHA1 Порука Датум
  myhloli 1fd72f5f3a refactor(magic_pdf): optimize table recognition and layout detection пре 7 месеци
  myhloli 553f250fc7 refactor(magic_pdf): optimize code and improve logging пре 7 месеци
  myhloli 8e1c23393c feat(model): add tqdm progress bar to model prediction loops пре 7 месеци
  myhloli 59d6b195b0 refactor(model): integrate AtomModelSingleton for OCR and improve OCR result handling пре 7 месеци
  myhloli d7d85a2881 feat(ocr): implement language-specific OCR processing пре 7 месеци
  myhloli a330651d64 feat(ocr): implement separate detection and recognition processes пре 7 месеци
  icecraft bbba2a120c feat: batch inference with ocr and lang flag пре 7 месеци
  myhloli 1b34f7e4ff refactor(magic_pdf): replace PIL with NumPy for image processing пре 8 месеци
  myhloli 49d140c55b perf(model): adjust batch size for layout and formula detection пре 10 месеци
  myhloli 452a9c0bcd refactor(model): update batch analyze logic for rapid table model пре 10 месеци
  myhloli f350222614 feat(model): improve batch analysis logic and support npu пре 10 месеци
  myhloli 902dcd2cee refactor(BatchAnalyze): comment out image rotation logic in doclayout_yolo пре 10 месеци
  myhloli 50f4841716 refactor(device): optimize memory cleaning and device selection пре 10 месеци
  icecraft b2887ca0aa refactor: refactor code пре 11 месеци
  Suven be01039495 feat: add logging for detection time in BatchAnalyze when OCR is not applied пре 11 месеци
  Suven 49bfdf07c8 feat: enhance batch processing in BatchAnalyze with layout and OCR timing logs пре 11 месеци
  Suven 4fd1e41e0e fix: batch methods in DocLayoutYOLO and YOLOv8 models пре 11 месеци
  Suven 7ce9edc674 feat: add batch prediction methods for YOLOv8 and Unimernet models пре 11 месеци