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<h1></h1>
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<h1>Source code for texteller.api.inference</h1><div class="highlight"><pre>
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<span></span><span class="kn">import</span><span class="w"> </span><span class="nn">re</span>
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<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">collections</span><span class="w"> </span><span class="kn">import</span> <span class="n">Counter</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Literal</span>
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<span class="kn">import</span><span class="w"> </span><span class="nn">cv2</span>
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<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
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<span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">onnxruntime</span><span class="w"> </span><span class="kn">import</span> <span class="n">InferenceSession</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">optimum.onnxruntime</span><span class="w"> </span><span class="kn">import</span> <span class="n">ORTModelForVision2Seq</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">transformers</span><span class="w"> </span><span class="kn">import</span> <span class="n">GenerationConfig</span><span class="p">,</span> <span class="n">RobertaTokenizerFast</span>
|
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<span class="kn">from</span><span class="w"> </span><span class="nn">texteller.constants</span><span class="w"> </span><span class="kn">import</span> <span class="n">MAX_TOKEN_SIZE</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">texteller.logger</span><span class="w"> </span><span class="kn">import</span> <span class="n">get_logger</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">texteller.paddleocr</span><span class="w"> </span><span class="kn">import</span> <span class="n">predict_det</span><span class="p">,</span> <span class="n">predict_rec</span>
|
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<span class="kn">from</span><span class="w"> </span><span class="nn">texteller.types</span><span class="w"> </span><span class="kn">import</span> <span class="n">Bbox</span><span class="p">,</span> <span class="n">TexTellerModel</span>
|
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<span class="kn">from</span><span class="w"> </span><span class="nn">texteller.utils</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span>
|
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<span class="n">bbox_merge</span><span class="p">,</span>
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||||
<span class="n">get_device</span><span class="p">,</span>
|
||||
<span class="n">mask_img</span><span class="p">,</span>
|
||||
<span class="n">readimgs</span><span class="p">,</span>
|
||||
<span class="n">remove_style</span><span class="p">,</span>
|
||||
<span class="n">slice_from_image</span><span class="p">,</span>
|
||||
<span class="n">split_conflict</span><span class="p">,</span>
|
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<span class="n">transform</span><span class="p">,</span>
|
||||
<span class="n">add_newlines</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="kn">from</span><span class="w"> </span><span class="nn">.detection</span><span class="w"> </span><span class="kn">import</span> <span class="n">latex_detect</span>
|
||||
<span class="kn">from</span><span class="w"> </span><span class="nn">.format</span><span class="w"> </span><span class="kn">import</span> <span class="n">format_latex</span>
|
||||
<span class="kn">from</span><span class="w"> </span><span class="nn">.katex</span><span class="w"> </span><span class="kn">import</span> <span class="n">to_katex</span>
|
||||
|
||||
<span class="n">_logger</span> <span class="o">=</span> <span class="n">get_logger</span><span class="p">()</span>
|
||||
|
||||
|
||||
<div class="viewcode-block" id="img2latex">
|
||||
<a class="viewcode-back" href="../../../api.html#texteller.api.img2latex">[docs]</a>
|
||||
<span class="k">def</span><span class="w"> </span><span class="nf">img2latex</span><span class="p">(</span>
|
||||
<span class="n">model</span><span class="p">:</span> <span class="n">TexTellerModel</span><span class="p">,</span>
|
||||
<span class="n">tokenizer</span><span class="p">:</span> <span class="n">RobertaTokenizerFast</span><span class="p">,</span>
|
||||
<span class="n">images</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="nb">list</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">],</span>
|
||||
<span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
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||||
<span class="n">out_format</span><span class="p">:</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"latex"</span><span class="p">,</span> <span class="s2">"katex"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"latex"</span><span class="p">,</span>
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||||
<span class="n">keep_style</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
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||||
<span class="n">max_tokens</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">MAX_TOKEN_SIZE</span><span class="p">,</span>
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||||
<span class="n">num_beams</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
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||||
<span class="n">no_repeat_ngram_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
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||||
<span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Convert images to LaTeX or KaTeX formatted strings.</span>
|
||||
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> model: The TexTeller or ORTModelForVision2Seq model instance</span>
|
||||
<span class="sd"> tokenizer: The tokenizer for the model</span>
|
||||
<span class="sd"> images: List of image paths or numpy arrays (RGB format)</span>
|
||||
<span class="sd"> device: The torch device to use (defaults to available GPU or CPU)</span>
|
||||
<span class="sd"> out_format: Output format, either "latex" or "katex"</span>
|
||||
<span class="sd"> keep_style: Whether to keep the style of the LaTeX</span>
|
||||
<span class="sd"> max_tokens: Maximum number of tokens to generate</span>
|
||||
<span class="sd"> num_beams: Number of beams for beam search</span>
|
||||
<span class="sd"> no_repeat_ngram_size: Size of n-grams to prevent repetition</span>
|
||||
|
||||
<span class="sd"> Returns:</span>
|
||||
<span class="sd"> List of LaTeX or KaTeX strings corresponding to each input image</span>
|
||||
|
||||
<span class="sd"> Example:</span>
|
||||
<span class="sd"> >>> import torch</span>
|
||||
<span class="sd"> >>> from texteller import load_model, load_tokenizer, img2latex</span>
|
||||
<span class="sd"> >>></span>
|
||||
<span class="sd"> >>> model = load_model(model_path=None, use_onnx=False)</span>
|
||||
<span class="sd"> >>> tokenizer = load_tokenizer(tokenizer_path=None)</span>
|
||||
<span class="sd"> >>> device = torch.device("cuda" if torch.cuda.is_available() else "cpu")</span>
|
||||
<span class="sd"> >>></span>
|
||||
<span class="sd"> >>> res = img2latex(model, tokenizer, ["path/to/image.png"], device=device, out_format="katex")</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">images</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span>
|
||||
<span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">images</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">device</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="n">device</span> <span class="o">=</span> <span class="n">get_device</span><span class="p">()</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">!=</span> <span class="n">model</span><span class="o">.</span><span class="n">device</span><span class="o">.</span><span class="n">type</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">ORTModelForVision2Seq</span><span class="p">):</span>
|
||||
<span class="n">_logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||||
<span class="sa">f</span><span class="s2">"Onnxruntime device mismatch: detected </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">device</span><span class="p">)</span><span class="si">}</span><span class="s2"> but model is on </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">device</span><span class="p">)</span><span class="si">}</span><span class="s2">, using </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">device</span><span class="p">)</span><span class="si">}</span><span class="s2"> instead"</span>
|
||||
<span class="p">)</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">model</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span>
|
||||
|
||||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">images</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">str</span><span class="p">):</span>
|
||||
<span class="n">images</span> <span class="o">=</span> <span class="n">readimgs</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
|
||||
<span class="k">else</span><span class="p">:</span> <span class="c1"># already numpy array(rgb format)</span>
|
||||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">images</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span>
|
||||
<span class="n">images</span> <span class="o">=</span> <span class="n">images</span>
|
||||
|
||||
<span class="n">images</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
|
||||
<span class="n">pixel_values</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
|
||||
|
||||
<span class="n">generate_config</span> <span class="o">=</span> <span class="n">GenerationConfig</span><span class="p">(</span>
|
||||
<span class="n">max_new_tokens</span><span class="o">=</span><span class="n">max_tokens</span><span class="p">,</span>
|
||||
<span class="n">num_beams</span><span class="o">=</span><span class="n">num_beams</span><span class="p">,</span>
|
||||
<span class="n">do_sample</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
|
||||
<span class="n">pad_token_id</span><span class="o">=</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">pad_token_id</span><span class="p">,</span>
|
||||
<span class="n">eos_token_id</span><span class="o">=</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">eos_token_id</span><span class="p">,</span>
|
||||
<span class="n">bos_token_id</span><span class="o">=</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">bos_token_id</span><span class="p">,</span>
|
||||
<span class="n">no_repeat_ngram_size</span><span class="o">=</span><span class="n">no_repeat_ngram_size</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">pred</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span>
|
||||
<span class="n">pixel_values</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">device</span><span class="p">),</span>
|
||||
<span class="n">generation_config</span><span class="o">=</span><span class="n">generate_config</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="n">res</span> <span class="o">=</span> <span class="n">tokenizer</span><span class="o">.</span><span class="n">batch_decode</span><span class="p">(</span><span class="n">pred</span><span class="p">,</span> <span class="n">skip_special_tokens</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">out_format</span> <span class="o">==</span> <span class="s2">"katex"</span><span class="p">:</span>
|
||||
<span class="n">res</span> <span class="o">=</span> <span class="p">[</span><span class="n">to_katex</span><span class="p">(</span><span class="n">r</span><span class="p">)</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">res</span><span class="p">]</span>
|
||||
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="n">keep_style</span><span class="p">:</span>
|
||||
<span class="n">res</span> <span class="o">=</span> <span class="p">[</span><span class="n">remove_style</span><span class="p">(</span><span class="n">r</span><span class="p">)</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">res</span><span class="p">]</span>
|
||||
|
||||
<span class="n">res</span> <span class="o">=</span> <span class="p">[</span><span class="n">format_latex</span><span class="p">(</span><span class="n">r</span><span class="p">)</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">res</span><span class="p">]</span>
|
||||
<span class="n">res</span> <span class="o">=</span> <span class="p">[</span><span class="n">add_newlines</span><span class="p">(</span><span class="n">r</span><span class="p">)</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">res</span><span class="p">]</span>
|
||||
<span class="k">return</span> <span class="n">res</span></div>
|
||||
|
||||
|
||||
|
||||
<div class="viewcode-block" id="paragraph2md">
|
||||
<a class="viewcode-back" href="../../../api.html#texteller.api.paragraph2md">[docs]</a>
|
||||
<span class="k">def</span><span class="w"> </span><span class="nf">paragraph2md</span><span class="p">(</span>
|
||||
<span class="n">img_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
|
||||
<span class="n">latexdet_model</span><span class="p">:</span> <span class="n">InferenceSession</span><span class="p">,</span>
|
||||
<span class="n">textdet_model</span><span class="p">:</span> <span class="n">predict_det</span><span class="o">.</span><span class="n">TextDetector</span><span class="p">,</span>
|
||||
<span class="n">textrec_model</span><span class="p">:</span> <span class="n">predict_rec</span><span class="o">.</span><span class="n">TextRecognizer</span><span class="p">,</span>
|
||||
<span class="n">latexrec_model</span><span class="p">:</span> <span class="n">TexTellerModel</span><span class="p">,</span>
|
||||
<span class="n">tokenizer</span><span class="p">:</span> <span class="n">RobertaTokenizerFast</span><span class="p">,</span>
|
||||
<span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||||
<span class="n">num_beams</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
|
||||
<span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Convert an image containing both text and mathematical formulas to markdown format.</span>
|
||||
|
||||
<span class="sd"> This function processes a mixed-content image by:</span>
|
||||
<span class="sd"> 1. Detecting mathematical formulas using a latex detection model</span>
|
||||
<span class="sd"> 2. Masking detected formula areas and detecting text regions using OCR</span>
|
||||
<span class="sd"> 3. Recognizing text in the detected regions</span>
|
||||
<span class="sd"> 4. Converting formula regions to LaTeX using the latex recognition model</span>
|
||||
<span class="sd"> 5. Combining all detected elements into a properly formatted markdown string</span>
|
||||
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> img_path: Path to the input image containing text and formulas</span>
|
||||
<span class="sd"> latexdet_model: ONNX InferenceSession for LaTeX formula detection</span>
|
||||
<span class="sd"> textdet_model: OCR text detector model</span>
|
||||
<span class="sd"> textrec_model: OCR text recognition model</span>
|
||||
<span class="sd"> latexrec_model: TexTeller model for LaTeX formula recognition</span>
|
||||
<span class="sd"> tokenizer: Tokenizer for the LaTeX recognition model</span>
|
||||
<span class="sd"> device: The torch device to use (defaults to available GPU or CPU)</span>
|
||||
<span class="sd"> num_beams: Number of beams for beam search during LaTeX generation</span>
|
||||
|
||||
<span class="sd"> Returns:</span>
|
||||
<span class="sd"> Markdown formatted string containing the recognized text and formulas</span>
|
||||
|
||||
<span class="sd"> Example:</span>
|
||||
<span class="sd"> >>> from texteller import load_latexdet_model, load_textdet_model, load_textrec_model, load_tokenizer, paragraph2md</span>
|
||||
<span class="sd"> >>></span>
|
||||
<span class="sd"> >>> # Load all required models</span>
|
||||
<span class="sd"> >>> latexdet_model = load_latexdet_model()</span>
|
||||
<span class="sd"> >>> textdet_model = load_textdet_model()</span>
|
||||
<span class="sd"> >>> textrec_model = load_textrec_model()</span>
|
||||
<span class="sd"> >>> latexrec_model = load_model()</span>
|
||||
<span class="sd"> >>> tokenizer = load_tokenizer()</span>
|
||||
<span class="sd"> >>></span>
|
||||
<span class="sd"> >>> # Convert image to markdown</span>
|
||||
<span class="sd"> >>> markdown_text = paragraph2md(</span>
|
||||
<span class="sd"> ... img_path="path/to/mixed_content_image.jpg",</span>
|
||||
<span class="sd"> ... latexdet_model=latexdet_model,</span>
|
||||
<span class="sd"> ... textdet_model=textdet_model,</span>
|
||||
<span class="sd"> ... textrec_model=textrec_model,</span>
|
||||
<span class="sd"> ... latexrec_model=latexrec_model,</span>
|
||||
<span class="sd"> ... tokenizer=tokenizer,</span>
|
||||
<span class="sd"> ... )</span>
|
||||
<span class="sd"> """</span>
|
||||
<span class="n">img</span> <span class="o">=</span> <span class="n">cv2</span><span class="o">.</span><span class="n">imread</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
|
||||
<span class="n">corners</span> <span class="o">=</span> <span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]),</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">]),</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]),</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">])]</span>
|
||||
<span class="n">bg_color</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">Counter</span><span class="p">(</span><span class="n">corners</span><span class="p">)</span><span class="o">.</span><span class="n">most_common</span><span class="p">(</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span>
|
||||
|
||||
<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">latex_bboxes</span> <span class="o">=</span> <span class="n">latex_detect</span><span class="p">(</span><span class="n">img_path</span><span class="p">,</span> <span class="n">latexdet_model</span><span class="p">)</span>
|
||||
<span class="n">end_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">_logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"latex_det_model time: </span><span class="si">{</span><span class="n">end_time</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">s"</span><span class="p">)</span>
|
||||
<span class="n">latex_bboxes</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">latex_bboxes</span><span class="p">)</span>
|
||||
<span class="n">latex_bboxes</span> <span class="o">=</span> <span class="n">bbox_merge</span><span class="p">(</span><span class="n">latex_bboxes</span><span class="p">)</span>
|
||||
<span class="n">masked_img</span> <span class="o">=</span> <span class="n">mask_img</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">latex_bboxes</span><span class="p">,</span> <span class="n">bg_color</span><span class="p">)</span>
|
||||
|
||||
<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">det_prediction</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">textdet_model</span><span class="p">(</span><span class="n">masked_img</span><span class="p">)</span>
|
||||
<span class="n">end_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">_logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"ocr_det_model time: </span><span class="si">{</span><span class="n">end_time</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">s"</span><span class="p">)</span>
|
||||
<span class="n">ocr_bboxes</span> <span class="o">=</span> <span class="p">[</span>
|
||||
<span class="n">Bbox</span><span class="p">(</span>
|
||||
<span class="n">p</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
|
||||
<span class="n">p</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
|
||||
<span class="n">p</span><span class="p">[</span><span class="mi">3</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">p</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
|
||||
<span class="n">p</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">p</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
|
||||
<span class="n">label</span><span class="o">=</span><span class="s2">"text"</span><span class="p">,</span>
|
||||
<span class="n">confidence</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
||||
<span class="n">content</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
<span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">det_prediction</span>
|
||||
<span class="p">]</span>
|
||||
|
||||
<span class="n">ocr_bboxes</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">ocr_bboxes</span><span class="p">)</span>
|
||||
<span class="n">ocr_bboxes</span> <span class="o">=</span> <span class="n">bbox_merge</span><span class="p">(</span><span class="n">ocr_bboxes</span><span class="p">)</span>
|
||||
<span class="n">ocr_bboxes</span> <span class="o">=</span> <span class="n">split_conflict</span><span class="p">(</span><span class="n">ocr_bboxes</span><span class="p">,</span> <span class="n">latex_bboxes</span><span class="p">)</span>
|
||||
<span class="n">ocr_bboxes</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"text"</span><span class="p">,</span> <span class="n">ocr_bboxes</span><span class="p">))</span>
|
||||
|
||||
<span class="n">sliced_imgs</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]</span> <span class="o">=</span> <span class="n">slice_from_image</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">ocr_bboxes</span><span class="p">)</span>
|
||||
<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">rec_predictions</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">textrec_model</span><span class="p">(</span><span class="n">sliced_imgs</span><span class="p">)</span>
|
||||
<span class="n">end_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">_logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"ocr_rec_model time: </span><span class="si">{</span><span class="n">end_time</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">s"</span><span class="p">)</span>
|
||||
|
||||
<span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">rec_predictions</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">ocr_bboxes</span><span class="p">)</span>
|
||||
<span class="k">for</span> <span class="n">content</span><span class="p">,</span> <span class="n">bbox</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">rec_predictions</span><span class="p">,</span> <span class="n">ocr_bboxes</span><span class="p">):</span>
|
||||
<span class="n">bbox</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">content</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||
|
||||
<span class="n">latex_imgs</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="k">for</span> <span class="n">bbox</span> <span class="ow">in</span> <span class="n">latex_bboxes</span><span class="p">:</span>
|
||||
<span class="n">latex_imgs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">bbox</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">y</span> <span class="p">:</span> <span class="n">bbox</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">y</span> <span class="o">+</span> <span class="n">bbox</span><span class="o">.</span><span class="n">h</span><span class="p">,</span> <span class="n">bbox</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">x</span> <span class="p">:</span> <span class="n">bbox</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">x</span> <span class="o">+</span> <span class="n">bbox</span><span class="o">.</span><span class="n">w</span><span class="p">])</span>
|
||||
<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">latex_rec_res</span> <span class="o">=</span> <span class="n">img2latex</span><span class="p">(</span>
|
||||
<span class="n">model</span><span class="o">=</span><span class="n">latexrec_model</span><span class="p">,</span>
|
||||
<span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
|
||||
<span class="n">images</span><span class="o">=</span><span class="n">latex_imgs</span><span class="p">,</span>
|
||||
<span class="n">num_beams</span><span class="o">=</span><span class="n">num_beams</span><span class="p">,</span>
|
||||
<span class="n">out_format</span><span class="o">=</span><span class="s2">"katex"</span><span class="p">,</span>
|
||||
<span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
|
||||
<span class="n">keep_style</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">end_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||||
<span class="n">_logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"latex_rec_model time: </span><span class="si">{</span><span class="n">end_time</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">s"</span><span class="p">)</span>
|
||||
|
||||
<span class="k">for</span> <span class="n">bbox</span><span class="p">,</span> <span class="n">content</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">latex_bboxes</span><span class="p">,</span> <span class="n">latex_rec_res</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">bbox</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"embedding"</span><span class="p">:</span>
|
||||
<span class="n">bbox</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="s2">" $"</span> <span class="o">+</span> <span class="n">content</span> <span class="o">+</span> <span class="s2">"$ "</span>
|
||||
<span class="k">elif</span> <span class="n">bbox</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"isolated"</span><span class="p">:</span>
|
||||
<span class="n">bbox</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\n\n</span><span class="s2">"</span> <span class="o">+</span> <span class="sa">r</span><span class="s2">"$$"</span> <span class="o">+</span> <span class="n">content</span> <span class="o">+</span> <span class="sa">r</span><span class="s2">"$$"</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n\n</span><span class="s2">"</span>
|
||||
|
||||
<span class="n">bboxes</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">ocr_bboxes</span> <span class="o">+</span> <span class="n">latex_bboxes</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="n">bboxes</span> <span class="o">==</span> <span class="p">[]:</span>
|
||||
<span class="k">return</span> <span class="s2">""</span>
|
||||
|
||||
<span class="n">md</span> <span class="o">=</span> <span class="s2">""</span>
|
||||
<span class="n">prev</span> <span class="o">=</span> <span class="n">Bbox</span><span class="p">(</span><span class="n">bboxes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">bboxes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">"guard"</span><span class="p">)</span>
|
||||
<span class="k">for</span> <span class="n">curr</span> <span class="ow">in</span> <span class="n">bboxes</span><span class="p">:</span>
|
||||
<span class="c1"># Add the formula number back to the isolated formula</span>
|
||||
<span class="k">if</span> <span class="n">prev</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"isolated"</span> <span class="ow">and</span> <span class="n">curr</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"text"</span> <span class="ow">and</span> <span class="n">prev</span><span class="o">.</span><span class="n">same_row</span><span class="p">(</span><span class="n">curr</span><span class="p">):</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
|
||||
<span class="k">if</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"("</span><span class="p">)</span> <span class="ow">and</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">")"</span><span class="p">):</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="sa">r</span><span class="s2">"</span><span class="se">\\</span><span class="s2">tag\{.*\}$"</span><span class="p">,</span> <span class="n">md</span><span class="p">[:</span><span class="o">-</span><span class="mi">4</span><span class="p">])</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="c1"># in case of multiple tag</span>
|
||||
<span class="n">md</span> <span class="o">=</span> <span class="n">md</span><span class="p">[:</span><span class="o">-</span><span class="mi">5</span><span class="p">]</span> <span class="o">+</span> <span class="sa">f</span><span class="s2">", </span><span class="si">{</span><span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="si">}</span><span class="s2">"</span> <span class="o">+</span> <span class="s2">"}"</span> <span class="o">+</span> <span class="n">md</span><span class="p">[</span><span class="o">-</span><span class="mi">4</span><span class="p">:]</span>
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="n">md</span> <span class="o">=</span> <span class="n">md</span><span class="p">[:</span><span class="o">-</span><span class="mi">4</span><span class="p">]</span> <span class="o">+</span> <span class="sa">f</span><span class="s2">"</span><span class="se">\\</span><span class="s2">tag</span><span class="se">{{</span><span class="si">{</span><span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="si">}</span><span class="se">}}</span><span class="s2">"</span> <span class="o">+</span> <span class="n">md</span><span class="p">[</span><span class="o">-</span><span class="mi">4</span><span class="p">:]</span>
|
||||
<span class="k">continue</span>
|
||||
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="n">prev</span><span class="o">.</span><span class="n">same_row</span><span class="p">(</span><span class="n">curr</span><span class="p">):</span>
|
||||
<span class="n">md</span> <span class="o">+=</span> <span class="s2">" "</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">curr</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="s2">"embedding"</span><span class="p">:</span>
|
||||
<span class="c1"># remove the bold effect from inline formulas</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">remove_style</span><span class="p">(</span><span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
|
||||
|
||||
<span class="c1"># change split environment into aligned</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="sa">r</span><span class="s2">"\begin</span><span class="si">{split}</span><span class="s2">"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\begin</span><span class="si">{aligned}</span><span class="s2">"</span><span class="p">)</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="sa">r</span><span class="s2">"\end</span><span class="si">{split}</span><span class="s2">"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\end</span><span class="si">{aligned}</span><span class="s2">"</span><span class="p">)</span>
|
||||
|
||||
<span class="c1"># remove extra spaces (keeping only one)</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="sa">r</span><span class="s2">" +"</span><span class="p">,</span> <span class="s2">" "</span><span class="p">,</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
|
||||
<span class="k">assert</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"$"</span><span class="p">)</span> <span class="ow">and</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">"$"</span><span class="p">)</span>
|
||||
<span class="n">curr</span><span class="o">.</span><span class="n">content</span> <span class="o">=</span> <span class="s2">" $"</span> <span class="o">+</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="s2">"$"</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"$ "</span>
|
||||
<span class="n">md</span> <span class="o">+=</span> <span class="n">curr</span><span class="o">.</span><span class="n">content</span>
|
||||
<span class="n">prev</span> <span class="o">=</span> <span class="n">curr</span>
|
||||
|
||||
<span class="k">return</span> <span class="n">md</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span></div>
|
||||
|
||||
</pre></div>
|
||||
|
||||
</article>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
<footer class="prev-next-footer d-print-none">
|
||||
|
||||
<div class="prev-next-area">
|
||||
</div>
|
||||
</footer>
|
||||
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
|
||||
</div>
|
||||
<footer class="bd-footer-content">
|
||||
|
||||
<div class="bd-footer-content__inner container">
|
||||
|
||||
<div class="footer-item">
|
||||
|
||||
<p class="component-author">
|
||||
By TexTeller Team
|
||||
</p>
|
||||
|
||||
</div>
|
||||
|
||||
<div class="footer-item">
|
||||
|
||||
|
||||
<p class="copyright">
|
||||
|
||||
© Copyright 2025, TexTeller Team.
|
||||
<br/>
|
||||
|
||||
</p>
|
||||
|
||||
</div>
|
||||
|
||||
<div class="footer-item">
|
||||
|
||||
</div>
|
||||
|
||||
<div class="footer-item">
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</footer>
|
||||
|
||||
|
||||
</main>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Scripts loaded after <body> so the DOM is not blocked -->
|
||||
<script src="../../../_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
|
||||
<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b"></script>
|
||||
|
||||
<footer class="bd-footer">
|
||||
</footer>
|
||||
</body>
|
||||
</html>
|
||||
Reference in New Issue
Block a user