correct FAQ url

Add FAQ entries in both English and Chinese to address the issue where the
libGL.so.1 library is missing on Ubuntu22.04 when running under WSL2. The
FAQ now includes instructions on how to install the missing library, resolvingthe corresponding ImportError.Closes https://github.com/opendatalab/MinerU/issues/388

feat(draw_bbox): add model bbox drawing functionality

Implement the feature to draw bounding boxes for model elements in the PDF. This includes
adding new drawing functions and modifying existing ones to accommodate the new feature.
Also, updates are made to CLI tools and common utilities to support the model bbox drawing.

edit FAQ

update doc url

update discord url

update content

update content

fix(doc-analyze): adjust image scaling limit to 9000 pixels

Previously, images were not enlarged if their width or height exceeded 3000 pixels.
This threshold has been increased to 9000 pixels to better handle high-resolutionscans and improve the analysis of documents with larger dimensions.

fix&refactor(pdf-extract-kit):  table recognition and ocr

fix(pdf-extract-kit): ensure table extraction success with additional ending conditionAdd an additional condition to determine the success of table extraction by checking
if the latex_code ends with 'end{table}'. This extends the validation to cover table
environments that may not strictly end with 'end{tabular}', thus improving the robustnessof table recognition processing.

refactor(pdf_extract_kit): optimize image processing and table recognition logicRefactor the image processing logic for OCR and table recognition to ensure
consistency and improve performance. Remove redundant initialization of PIL images,
unify image cropping logic, and streamline the handling of formula detection results.
Also, adjust the table recognition process to improve integration with the updated image
processing logic and enhance overall efficiency.

Co-authored-by: shenguanlin <shenguanlin@pjlab.org.cn>

Add notes in the Ubuntu and Windows CUDA acceleration guides on how to
determine if CUDA acceleration is working. This includes checking for
significant reductions in `layout detection cost`, `mfr time`, and `ocr cost`
as indicators of successful acceleration.