The script uses various libraries such as pdf2image, easyocr, ditod and detectron2 for processing.
Detected objects are categorized into "text", "title", "list", "table", and "figure".
The script provides detailed timing information for various processing steps, which can be useful for performance analysis.
Text extraction uses easyocr and the results are further processed using SymSpell for word segmentation and a regular expression for filtering.
- install Requirements:
python -m pip install -r requirements.txt
Note detectron2 may need to install by python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
- An example for basic usage:
python pdf2txt.py --pdf_path /path/to/txt --outputs_dir /path/to/output_dir
Please download the weight trained_ocr_cascade_large.pth first.