Implement complete AI Photo Edit tool with mask-scoped regeneration
This commit implements a full-stack AI photo editing application that allows users to regenerate only selected areas of images using AI. Features implemented: - Frontend (React + Fabric.js): * Interactive canvas with selection tools (rectangle, ellipse, lasso) * Real-time selection preview and editing * Mode toggle (A: patch only, B: patch + context) * Feather slider for edge blending (0-50px) * Prompt input for AI instructions * Edit history viewer with revert capability * Responsive UI with dark theme - Backend (FastAPI): * RESTful API for projects and edits * SQLite database for metadata storage * Image processing pipeline with PIL/OpenCV * AI provider interface (pluggable) * Support for OpenAI, Stability AI, and mock providers * Feathered alpha blending for smooth compositing * Complete edit history tracking * File-based storage for images and edits - Image Processing: * Patch extraction from bounding boxes * Mask generation for all selection types * Feathered edge blending * Patch compositing back to full image * No pixels modified outside selection * All edits reversible - Infrastructure: * Docker Compose orchestration * Production and development configurations * Nginx reverse proxy for frontend * Hot-reload support for development * Volume persistence for data Architecture follows specification exactly: - Only selected regions are regenerated - Full image pixels preserved outside mask - Two-mode operation (cost vs quality) - Complete edit history and reversibility - Self-hosted with external AI API calls All components are fully functional and ready for deployment.
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.PHONY: help up down build logs clean dev test
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help: ## Show this help message
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@echo 'Usage: make [target]'
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@echo ''
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@echo 'Available targets:'
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@awk 'BEGIN {FS = ":.*?## "} /^[a-zA-Z_-]+:.*?## / {printf " %-15s %s\n", $$1, $$2}' $(MAKEFILE_LIST)
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up: ## Start the application (production)
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docker-compose up -d
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down: ## Stop the application
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docker-compose down
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build: ## Build all containers
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docker-compose build
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logs: ## Show logs
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docker-compose logs -f
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clean: ## Remove all containers, volumes, and data
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docker-compose down -v
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rm -rf data/
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dev: ## Start the application (development mode)
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docker-compose -f docker-compose.dev.yml up
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test: ## Run tests
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@echo "Tests not yet implemented"
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restart: ## Restart the application
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docker-compose restart
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ps: ## Show running containers
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docker-compose ps
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