v1.2.0

Release v1.2.0

• Add IdentityVerifier module (face identity verification)
• Published to PyPI: https://pypi.org/project/capa-sdk/1.2.0/

CAPA SDK v1.1.0

CAPA SDK v1.1.0

License Change

• Changed from MIT License to Dual License (Non-Commercial Free / Commercial Paid)
• Added Patent Notice for US Patent 10,885,309: "System and method for evaluating personality using anthropometric measurement of a person's face"
• Patent holder: INTELLIGEX INC.

Documentation Updates

API Reference (docs/api_reference.md)

• Fixed method name: analyze() → analyze_image()
• Fixed ImpulsivenessLevel enum values: MODERATELY_LOW/HIGH → MODERATE_LOW/HIGH
• Fixed WDResult field: personality_correlations → personality_profile
• Added complete ForeheadGeometry fields (14 total)
• Added complete FacialProportions fields (23 total)
• Marked REALTIME mode as "⚠️ Not yet implemented"

Configuration (docs/configuration.md)

• Fixed AnalysisConfiguration fields (removed non-existent min_confidence_threshold, renamed enable_quality_checks to enable_quality_assessment)
• Added 8 missing configuration fields
• Fixed module constructor parameters for WDAnalyzer, ForeheadAnalyzer, MorphologyAnalyzer
• New section: "Mode Output Differences" - comprehensive table showing what each analysis mode returns

Examples (docs/examples.md)

• Fixed all method calls from .analyze(image) to .analyze_image(image)
• Removed non-existent prosopic_classification reference

Getting Started (docs/getting_started.md)

• Fixed all method calls from .analyze(image) to .analyze_image(image)

Index (docs/index.md)

• Updated license section with dual license information
• Added patent notice
• Added commercial licensing contact information

Package Updates

• Updated pyproject.toml with new license classifier
• Updated README.md with license badge, patent badge, and documentation links

Notes

• REALTIME mode is reserved for future video stream processing capabilities
• SCIENTIFIC mode returns only 2D observable measurements without psychological interpretations
• All module configuration options (enable_learning, enable_neuroscience, enable_3d_reconstruction) are fully functional

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