The Design Comparison Tool is a web application that quantitatively compares Figma design screenshots with implemented screen captures. It provides:
- A structural similarity score
- Visual representation of design discrepancies
- UI/UX Developers
- Design Teams
- Quality Assurance Professionals
- Image Upload: Figma design and implemented screen
- Image Processing: Utilizes computer vision techniques
- Comparison Generation: Produces a composite image highlighting differences
- Results: Outputs a similarity score and visual discrepancy map
- Flask: Python web framework for backend operations
- OpenCV: Image processing and computer vision tasks
- Scikit-image: Structural Similarity Index (SSIM) calculation
- NumPy: Efficient array operations and data manipulation
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Image Preprocessing:
- Images are read using OpenCV
- Figma design image is resized to match the built screen dimensions
- Both images are converted to grayscale
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Structural Similarity Index (SSIM) Calculation:
- Scikit-image's SSIM function compares the grayscale images
- Measures similarity based on luminance, contrast, and structure
- Outputs a similarity score and difference image
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Difference Analysis:
- Difference image is normalized and thresholded using Otsu's method
- Contours are detected in the thresholded image
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Visualization:
- Significant differences (contours > 40 pixels) are highlighted
- Green rectangles on Figma design, red on built screen
- A filled version shows differences in red
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Result Generation:
- Composite image created by stacking annotated images
- Similarity score converted to percentage
- Unique filename generated using current date and time
- Accelerates design review processes
- Enhances design-development team communication
- Provides quantitative metrics for design fidelity
- Facilitates early detection of design inconsistencies
- AI-driven suggestions for design discrepancy resolution
- Integration with popular design and development platforms
The Design Comparison Tool offers an objective, efficient method for ensuring design implementation accuracy, streamlining the UI/UX development workflow.