Ai Image Analyzer Pro
F 46 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
The AI Image Analyzer Pro is a universal tool for evaluating the quality of AI-generated images, particularly in medical and satellite imaging.
Description
This project provides an AI super-resolution quality evaluation tool with 18 metrics (CLIP, LPIPS, SSIM, PSNR) for cross-domain hallucination detection. It supports various domains such as medical, satellite, microscopy, anime, and more. The tool is GPU-accelerated and generates detailed statistical reports.
الوصف
هذا المشروع يقدم أداة تقييم جودة الصور الناتجة عن الذكاء الاصطناعي، مع 18 مؤشرًا (CLIP، LPIPS، SSIM، PSNR) لdetección de alucinaciones transdominio. يدعم العديد من المجالات مثل الطب، وال卫اقية، وعلم الأحياء الدقيقة، والأنمي، وغيرها. الأداة مصممة للعمل على GPU وتقدم تقارير إحصائية تفصيلية.
Novelty
9/10Tags
Technologies
Claude Models
Quality Score
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 4 bare except/catch blocks swallowing errors
- 1245 duplicate lines detected \u2014 consider DRY refactoring
- 6 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Replace bare except/catch blocks with specific exception types
Security & Health
Languages
Frameworks
Concepts (2)
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| Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description |    | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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