Photo Enhancer
C+ 75 completed
Api
containerized / python · tiny
43
Files
4,886
LOC
2
Frameworks
6
Languages
Pipeline State
completedRun ID
#307363Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
53.41Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #49270
Member of a group with 1 similar repo(s) — canonical #92373 view group →
Top concepts (10)
Project DescriptionWeb Backenddata_accessinfrastructuretestingSingletonDatabaseFile ManagementTestingContainerized/Microservices
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
setup_loggingConfigures the root logger to output structured logs to standard output. It accepts an optional integer specifying the minimum logging level, defaulting to INFO. The function overwrites any existing handlers on the root logger, adding a new handler that formats all log records as a single JSON objec
encode_imageEncodes a BGR uint8 numpy array into a byte string representing the image in a specified format. It accepts the image data and a string indicating the desired output format, which must be one of "png", "jpg", "jpeg", or "webp". The function returns the raw bytes of the encoded image, raising a Value
validate_and_resizeChecks the dimensions of an input BGR uint8 numpy array against a specified maximum dimension. If either the height or width exceeds the limit, it proportionally scales the image down using area interpolation and logs a warning message detailing the size change. Otherwise, it returns the original, u
AI Prompt
Create a containerized REST API using FastAPI for AI-powered photo enhancement. The API needs endpoints for several image processing tasks, including colorization, general restoration, face restoration, upscaling, old photo restoration, and inpainting. Users should be able to upload images via `multipart/form-data`. The service should support running on both CPU and CUDA GPU environments, and I need the setup to be easily deployable using `docker-compose.yml`. Please ensure the API documentation is available at `/docs`.
python fastapi rest-api ai image-processing pytorch docker gpu containerization
Generated by gemma4:latest
Catalog Information
The kozaktomas__photo-enhancer project provides a REST API for AI-powered photo enhancement, allowing users to colorize, restore, and upscale their photos using various models.
Description
This project is a REST API for AI-powered photo enhancement. It supports multiple models for tasks such as colorization, restoration, face restoration, upscaling, old photo restoration, and inpainting. The API is built with FastAPI and PyTorch, and can run on both CUDA GPU and CPU. Model weights are downloaded automatically on first startup.
الوصف
هذا المشروع هو REST API لتحسين الصور باستخدام الذكاء الاصطناعي. يدعم العديد من النماذج للوظائف مثل التلوين، والاستعادة، واستعادة الوجه، وتحسين الحجم، واستعادة الصور القديمة، وملء الفجوات. يتم بناؤه باستخدام FastAPI و PyTorch، ويمكن تشغيله على CUDA GPU أو CPU. يتم تحميل وزن النماذج تلقائيًا عند بدء التشغيل الأول.
Novelty
7/10Tags
photo-enhancement ai-powered colorization restoration face-restoration upscale old-photo-restore inpainting
Technologies
fastapi numpy uvicorn
Claude Models
claude-opus-4.6
Quality Score
C+
75.3/100
Structure
81
Code Quality
65
Documentation
66
Testing
75
Practices
83
Security
92
Dependencies
90
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (31% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 436 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Security & Health
4.1h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
Repobility · severity-and-effort ranking · https://repobility.com
PASS
Quality Gate
A
Risk (2)
MIT
License
5.1%
Duplication
Languages
Frameworks
FastAPI pytest
Symbols
method84
class38
function25
constant9
variable9
API Endpoints (8)
| Method | Path | Handler | Framework | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /colorize | colorize | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /face-restore | face_restore | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| GET | /health | health | FastAPI/Flask | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /inpaint | inpaint | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /old-photo-restore | old_photo_restore | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /pipeline | pipeline | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /restore | restore | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| POST | /upscale | upscale | Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concepts (10)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description |  | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | data_access | Detected data_access layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Singleton | Found get_instance/instance patterns | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Database | Detected from 11 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 5 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_pattern | Containerized/Microservices | Multiple Dockerfiles found at package level | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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