diff --git a/api.html b/api.html index 58c863d..0539bda 100644 --- a/api.html +++ b/api.html @@ -425,7 +425,7 @@ document.write(`

Image to LaTeX Conversion#

-img2latex(model: VisionEncoderDecoderModel | ORTModelForVision2Seq, tokenizer: RobertaTokenizerFast, images: list[str] | list[ndarray], device: device | None = None, out_format: Literal['latex', 'katex'] = 'latex', keep_style: bool = False, max_tokens: int = 1024, num_beams: int = 1, no_repeat_ngram_size: int = 0) list[str][source]#
+img2latex(model: VisionEncoderDecoderModel | ORTModelForVision2Seq, tokenizer: RobertaTokenizerFast, images: list[str] | list[ndarray], device: device | None = None, out_format: Literal['latex', 'katex'] = 'latex', keep_style: bool = False, max_tokens: int = 1024, num_beams: int = 1, no_repeat_ngram_size: int = 0) list[str][source]#

Convert images to LaTeX or KaTeX formatted strings.

Parameters:
@@ -463,7 +463,7 @@ document.write(`

Paragraph to Markdown Conversion#

-paragraph2md(img_path: str, latexdet_model: InferenceSession, textdet_model: TextDetector, textrec_model: TextRecognizer, latexrec_model: VisionEncoderDecoderModel | ORTModelForVision2Seq, tokenizer: RobertaTokenizerFast, device: device | None = None, num_beams=1) str[source]#
+paragraph2md(img_path: str, latexdet_model: InferenceSession, textdet_model: TextDetector, textrec_model: TextRecognizer, latexrec_model: VisionEncoderDecoderModel | ORTModelForVision2Seq, tokenizer: RobertaTokenizerFast, device: device | None = None, num_beams=1) str[source]#

Convert an image containing both text and mathematical formulas to markdown format.

This function processes a mixed-content image by: 1. Detecting mathematical formulas using a latex detection model