‹ Reports
The Dispatch

OSS Report: opendatalab/MinerU


MinerU Development Focuses on Enhancing PDF Parsing and Performance Optimization

MinerU, an open-source tool for converting complex documents into machine-readable formats, has seen active development with a focus on improving PDF parsing accuracy and performance optimization.

Recent Activity

Recent issues and pull requests (PRs) highlight ongoing challenges with PDF parsing, particularly in table recognition and handling complex layouts. Key issues include #637 (unsupported UTF-32 encoding), #633 (missing content in tables), and #619 (OOM error in CUDA mode). These issues reflect user demand for robust document processing capabilities.

Development Team and Recent Activity

  1. Xiaomeng Zhao (myhloli)

    • Updated version.py, merged PRs on figure-footnote relations, refactored pdf_extract_kit, added language support.
    • Collaborated with icecraft and drunkpig.
  2. icecraft

    • Fixed figure-footnote issues, contributed to CLI tools.
    • Collaborated with Xiaomeng Zhao.
  3. drunkpig

    • Enhanced web API and Gradio app, merged branches.
    • Worked with Xiaomeng Zhao.
  4. Focusshang

    • Updated README files, focused on Chinese documentation.
  5. quyuan

    • Contributed test cases for CLI tools.
  6. LollipopsAndWine (linfeng)

    • Added a web app component.
  7. dt-yy

    • Minor testing and documentation updates.
  8. wangbinDL

    • Limited activity; minor documentation updates.

Of Note

  1. Performance Optimization: PR #616 introduces CUDA graph support for improved model efficiency.
  2. Docker Support: PR #467 adds Docker compose file for easier deployment.
  3. Complex Layout Handling: Ongoing issues indicate a focus on better parsing of multi-column PDFs.
  4. Community Engagement: Active contributions from diverse developers enhance project growth.
  5. Documentation Improvements: Continuous updates to improve user experience, especially for non-English speakers.

Quantified Reports

Quantify Issues



Recent GitHub Issues Activity

Timespan Opened Closed Comments Labeled Milestones
7 Days 12 44 25 1 1
14 Days 42 51 102 1 1
30 Days 93 76 239 7 1
All Time 386 260 - - -

Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.

Quantify commits



Quantified Commit Activity Over 30 Days

Developer Avatar Branches PRs Commits Files Changes
drunkpig 2 7/4/3 6 78 21433
linfeng (LollipopsAndWine) 1 4/2/2 2 31 2267
quyuan 1 0/0/0 6 31 1847
Xiaomeng Zhao 3 21/20/1 40 52 1406
icecraft 2 8/7/1 3 3 337
yanqiangmiffy (yanqiangmiffy) 1 2/1/1 1 9 313
yyy 1 7/3/4 2 21 310
Kaiwen Liu (papayalove) 1 6/6/0 2 7 284
sfk 2 3/3/0 8 2 22
Bin Wang 1 0/0/0 1 3 10
github-actions[bot] 1 0/0/0 1 1 8
zhouW (DTwz) 0 1/0/1 0 0 0
Lynn Ly (Ly-Lynn) 0 1/0/1 0 0 0
Lyu Han (lvhan028) 0 1/0/0 0 0 0
Siyu Hao (GDDGCZ518) 0 1/1/0 0 0 0
None (strongerfly) 0 3/0/2 0 0 0

PRs: created by that dev and opened/merged/closed-unmerged during the period

Detailed Reports

Report On: Fetch issues



Recent Activity Analysis

The recent activity on the MinerU GitHub repository indicates a vibrant engagement with 126 open issues, showcasing a mix of bugs, enhancements, and user inquiries. Notably, several issues highlight recurring problems with PDF parsing, particularly concerning table recognition and OCR capabilities. There is a significant focus on improving the accuracy and efficiency of the extraction process, reflecting user demand for more robust features.

A prominent theme among the issues is the challenge of handling complex document layouts, such as multi-column formats and embedded images. Many users report that tables are often misidentified as images, leading to data loss during parsing. Additionally, there are multiple requests for enhancements related to API functionalities and support for various document formats.

Issue Details

Recent Issues

  1. Issue #637: AssertionError due to unsupported UTF-32 encoding in PDF parsing.

    • Priority: High
    • Status: Open
    • Created: 2 days ago
    • Updated: N/A
  2. Issue #633: Missing content during table recognition.

    • Priority: High
    • Status: Open
    • Created: 3 days ago
    • Updated: N/A
  3. Issue #627: IndexError encountered when processing PDFs in a multi-threaded environment.

    • Priority: Medium
    • Status: Open
    • Created: 4 days ago
    • Updated: N/A
  4. Issue #620: Incompatibility issue with magic-pdf.exe on Windows.

    • Priority: Medium
    • Status: Open
    • Created: 8 days ago
    • Updated: 7 days ago
  5. Issue #619: Out of Memory (OOM) error when running multiple commands in CUDA mode.

    • Priority: High
    • Status: Open
    • Created: 8 days ago
    • Updated: N/A
  6. Issue #618: API call error when uploading the same PDF multiple times in quick succession.

    • Priority: Medium
    • Status: Open
    • Created: 8 days ago
    • Updated: N/A
  7. Issue #617: Content loss after updating to version 0.8.x.

    • Priority: High
    • Status: Open
    • Created: 8 days ago
    • Updated: N/A
  8. Issue #615: Request for support of three-column layout PDF parsing.

    • Priority: Enhancement
    • Status: Open
    • Created: 9 days ago
    • Updated: N/A

Analysis of Themes and Commonalities

  • The majority of recent issues revolve around bugs related to PDF parsing accuracy, particularly with tables and multi-column layouts.
  • Users are actively seeking enhancements for better OCR performance and more flexible API functionalities.
  • There is a clear demand for improved handling of complex document structures, indicating that many users rely on MinerU for processing intricate academic papers or reports.

This pattern suggests that while the core functionality is appreciated, there is significant room for improvement in terms of robustness and adaptability to various document types.

Conclusion on Recent Activity

The ongoing discussions and reported issues reflect a community eager to enhance the capabilities of MinerU. Addressing these concerns will be crucial for maintaining user satisfaction and expanding the tool's applicability across diverse document formats.

Report On: Fetch pull requests



Overview

The analysis of the pull requests (PRs) for the MinerU project reveals a dynamic and active development environment. The project is focused on enhancing its capabilities in PDF extraction and processing, with significant contributions from various developers. The PRs cover a wide range of improvements, including feature additions, bug fixes, and optimizations.

Summary of Pull Requests

  1. PR #616: Introduces inference optimization by adding CUDA graph support for the MFR model and provides a multiprocessor demo. This PR is significant as it enhances the performance of the model, making it more efficient.

  2. PR #547: Fixes an issue with filenames containing spaces. While this may seem minor, such fixes are crucial for ensuring smooth operation across different environments.

  3. PR #467: Adds Docker compose file and updates the Dockerfile to use a newer version of MinerU. This makes it easier for users to set up the environment using Docker.

  4. PR #314: Adds support for 'direct_ml' method in PDF extraction kit, expanding the tool's compatibility with different hardware setups.

  5. Closed PRs: A number of PRs have been closed, indicating active maintenance and iterative improvement of the project. For instance, PRs related to fixing bugs (#639, #636) and optimizing existing features (#635) show a commitment to enhancing reliability and performance.

Analysis of Pull Requests

The PRs reflect several key themes in the development of MinerU:

  • Performance Optimization: Multiple PRs focus on optimizing the performance of various components, such as inference speed and model efficiency. This is crucial for a tool that aims to handle complex document processing tasks quickly and accurately.

  • Feature Expansion: New features are being added regularly, such as support for additional methods in PDF extraction and enhancements to existing functionalities like Docker support. This indicates a roadmap focused on broadening the tool's capabilities.

  • Community Contributions: The presence of contributions from various developers suggests an active community around MinerU. This is beneficial for open-source projects as it brings diverse perspectives and expertise into the development process.

  • Continuous Improvement: The quick turnaround on bug fixes and optimizations shows a strong commitment to maintaining high standards of quality and performance. This is essential for user trust and satisfaction.

In conclusion, MinerU is evolving rapidly with a clear focus on enhancing its core functionalities while ensuring ease of use through better deployment options like Docker. The active involvement of the community in its development is a positive sign for its future growth and improvement.

Report On: Fetch commits



Repo Commits Analysis

Development Team and Recent Activity

Team Members and Activities

  1. Xiaomeng Zhao (myhloli)

    • Recent Activity:
    • Updated version.py with a new version.
    • Merged pull requests addressing figure-footnote relations and model evaluation mode.
    • Refactored pdf_extract_kit to use direct image cropping with layout detection.
    • Implemented language parameter support in various components.
    • Contributed significantly to documentation updates, including installation guides and FAQs.
    • Collaborations: Frequently collaborates with team members like icecraft and drunkpig.
  2. icecraft

    • Recent Activity:
    • Fixed issues related to figure-footnote relations and contributed to the CLI tools.
    • Collaborations: Worked alongside Xiaomeng Zhao on multiple fixes.
  3. drunkpig

    • Recent Activity:
    • Made substantial changes in the web API and Gradio app, including adding examples for PDF processing.
    • Merged various branches to ensure integration of new features.
    • Collaborations: Co-authored several features with Xiaomeng Zhao.
  4. Focusshang

    • Recent Activity:
    • Updated README files for clarity and accuracy, particularly focusing on Chinese documentation.
    • Collaborations: Engaged in minor updates alongside other team members.
  5. quyuan

    • Recent Activity:
    • Contributed test cases and enhancements for the CLI tools.
    • Collaborations: Minimal collaboration noted; primarily focused on individual contributions.
  6. LollipopsAndWine (linfeng)

    • Recent Activity:
    • Added a web app component to the project, enhancing user interaction with PDF processing features.
    • Collaborations: Collaborated with Xiaomeng Zhao during feature development.
  7. dt-yy

    • Recent Activity:
    • Minor contributions focused on testing and documentation updates.
  8. wangbinDL

    • Recent Activity:
    • Limited activity; primarily involved in minor documentation updates.

Patterns and Themes

  • Frequent Contributions by Xiaomeng Zhao: The majority of recent commits are attributed to Xiaomeng Zhao, indicating a central role in development and maintenance.
  • Focus on Bug Fixes and Feature Enhancements: Recent activities show a strong emphasis on fixing bugs related to document processing (e.g., figure-footnote relations) and enhancing features (e.g., language support).
  • Documentation Improvements: Continuous updates to documentation reflect an effort to improve user experience and accessibility of the tool, particularly for non-English speakers.
  • Collaboration Across Team Members: Many commits are co-authored, showcasing a collaborative environment where team members work together on overlapping tasks.

Conclusions

The development team is actively engaged in improving the MinerU project through bug fixes, feature enhancements, and comprehensive documentation updates. The collaborative nature of the team fosters rapid development cycles, ensuring that user feedback is integrated effectively into ongoing improvements.