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GitHub Repository Information

Description

Advanced PDF layout analysis engine for extracting figures, tables, and structured content from complex engineering documents using computer vision and machine learning.

Topics (Tags)

  • pdf
  • layout-analysis
  • computer-vision
  • document-processing
  • figure-extraction
  • table-detection
  • engineering-documents
  • technical-documents
  • opencv
  • pymupdf
  • python
  • machine-learning
  • ocr
  • document-parsing
  • multi-column
  • text-extraction
  • image-processing

How to Add Contributors

Method 1: Through GitHub Web Interface

  1. Go to your repository: https://github.com/Magnet-AI/Quanta
  2. Click on "Settings" (in the repository menu)
  3. Scroll down to "Manage access" in the left sidebar
  4. Click "Invite a collaborator"
  5. Enter their GitHub username or email
  6. Choose permission level:
    • Read: Can view and clone
    • Triage: Can manage issues and pull requests
    • Write: Can push to repository
    • Maintain: Can manage repository settings
    • Admin: Full access

Method 2: Through GitHub CLI

# Install GitHub CLI if you don't have it
brew install gh

# Authenticate
gh auth login

# Add a collaborator
gh api repos/Magnet-AI/Quanta/collaborators/USERNAME -X PUT -f permission=write

Method 3: Through Git Commands (for co-authors)

# When committing, add co-author information
git commit -m "Add new feature

Co-authored-by: Contributor Name <contributor@email.com>"

Repository Settings to Update

1. Description

Set this in the repository settings: "Advanced PDF layout analysis engine for extracting figures, tables, and structured content from complex engineering documents using computer vision and machine learning."

2. Topics

Add these topics in the repository settings:

  • pdf
  • layout-analysis
  • computer-vision
  • document-processing
  • figure-extraction
  • table-detection
  • engineering-documents
  • technical-documents
  • opencv
  • pymupdf
  • python
  • machine-learning
  • ocr
  • document-parsing
  • multi-column
  • text-extraction
  • image-processing

3. Website (if you have one)

Leave blank for now, or add your personal website

4. Social Preview

Upload the quanta.png logo as the social preview image