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Enhanced Fashion Analysis with Refined Prompt
This document describes the enhanced fashion analysis capabilities that have been integrated into the Vestiq system, featuring a refined prompt optimized for better feature extraction and outfit recommendation.
π New Features
Enhanced Analysis Endpoint
- Endpoint:
/analyze-enhanced
- Method: POST
- Input: Image file
- Output: Detailed fashion analysis using the refined prompt format
Refined Prompt Format
The enhanced analysis uses a sophisticated prompt structure that includes:
- Fashion-specific vocabulary (oversized, tailored, cropped, monochromatic, muted tones)
- Color theory analysis (harmony/contrast, seasonal suitability, tone warmth)
- Formality level inference (smart casual, athleisure, streetwear, semi-formal)
- Fit and silhouette analysis (slim-fit, relaxed, boxy, flowy)
- Comprehensive feature extraction with context and styling insights
π Analysis Structure
1. Upper Garment
- Type: Specific garment identification
- Color: Primary color + tone category (warm, cool, neutral)
- Material: Fabric type with texture details
- Features: Detailed styling elements and construction details
2. Lower Garment
- Type: Bottom wear identification
- Color: Color coordination with upper garment
- Material: Fabric inference with care considerations
- Features: Cut, fit, and styling details
3. Footwear
- Type: Shoe category and style
- Color: Color harmony with outfit
- Material: Material quality and durability insights
- Features: Construction and styling details
4. Outfit Summary
A comprehensive 3-5 sentence analysis covering:
- Overall style and fashion intent
- Color, texture, and silhouette interaction
- Cohesion and balance between garments
- Occasion suitability assessment
- Fashion-forward observations
π§ Enhanced Extraction Methods
Color Analysis (extract_enhanced_colors
)
- Tone categorization (warm, cool, neutral)
- Seasonal appropriateness
- Styling context and versatility
- Color harmony assessment
Material Analysis (extract_enhanced_material
)
- Texture descriptions
- Care requirements
- Quality indicators
- Garment-appropriate fabric inference
Feature Analysis (extract_enhanced_features
)
- Detailed construction elements
- Styling implications
- Fashion terminology
- Fit and silhouette descriptions
π― Usage Examples
Basic Usage
# Start the server
python fast.py
# Test with an image
python test_enhanced_analysis.py path/to/your/image.jpg
API Usage
import requests
# Enhanced analysis
with open('image.jpg', 'rb') as f:
files = {'file': f}
response = requests.post('http://localhost:7861/analyze-enhanced', files=files)
analysis = response.text
print(analysis)
Compare Analysis Methods
# Compare all analysis methods
python test_enhanced_analysis.py image.jpg
π Comparison with Existing Methods
Feature | Basic Analysis | Structured Analysis | Enhanced Analysis |
---|---|---|---|
Fashion Vocabulary | Basic | Moderate | Advanced |
Color Theory | Limited | Basic | Comprehensive |
Material Inference | Basic | Moderate | Detailed |
Feature Extraction | Simple | Structured | Sophisticated |
Styling Context | Minimal | Some | Extensive |
Output Format | Text | JSON/Text | Formatted Text |
π¨ Key Improvements
- Fashion-Forward Language: Uses professional fashion terminology
- Color Theory Integration: Includes tone analysis and seasonal context
- Material Intelligence: Provides texture, care, and quality insights
- Comprehensive Features: Detailed construction and styling elements
- Sophisticated Summaries: Fashion-expert level outfit analysis
- Better Structure: Clear, consistent formatting for easy parsing
π Integration with Existing System
The enhanced analysis integrates seamlessly with the existing yainage90 models:
- Uses the same object detection pipeline
- Leverages existing feature extraction
- Maintains compatibility with current API structure
- Adds new endpoint without breaking existing functionality
π Benefits for Outfit Recommendation
- Better Feature Extraction: More detailed garment characteristics
- Style Context: Understanding of fashion intent and occasion
- Color Harmony: Better color coordination recommendations
- Material Awareness: Fabric-appropriate styling suggestions
- Professional Insights: Fashion-expert level analysis quality
π οΈ Technical Implementation
The enhanced analysis is implemented through:
- New analysis method:
analyze_clothing_enhanced_prompt_format()
- Enhanced extraction methods with fashion context
- Sophisticated outfit summary generation
- Professional fashion terminology integration
- Improved color and material analysis
π Future Enhancements
Potential improvements could include:
- Integration with fashion trend data
- Seasonal styling recommendations
- Body type considerations
- Brand and price point analysis
- Sustainability and care instructions
- Cultural and regional style preferences
This enhanced analysis system provides a significant upgrade to the fashion analysis capabilities, offering professional-level insights that can power sophisticated outfit recommendation systems.