Коммит түүх

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