PictoPy

PictoPy is an advanced desktop gallery application that combines the power of Tauri, React, and Rust for the frontend with a Python backend for sophisticated image analysis and management.

Want to Contribute? 😄

   

1. First, join the Discord Server (Go to Projects->PictoPy) to chat with everyone.
2. For detailed setup instructions, coding guidelines, and the contribution process, please check out our CONTRIBUTING.md file.

Architecture

Frontend

• Tauri: Enables building the desktop application
• React: Used for creating the user interface
• Rust: Powers the backend, which the frontend communicates with through Tauri's API

Backend (Python)

• FastAPI: Serves as the API framework
• SQLite: Database for storing metadata and embeddings
• YOLO: Used for object detection
• FaceNet: Generates face embeddings
• ONNX Runtime: Runs the models efficiently
• DBSCAN: Performs clustering for face embeddings

Backend (Rust via Tauri)

Handles file system operations and provides a secure bridge between the frontend and local system.

Features

• Smart tagging of photos based on detected objects, faces, and their recognition
• Traditional gallery features of album management
• Advanced image analysis with object detection and facial recognition
• Privacy-focused design with offline functionality
• Efficient data handling and parallel processing
• Smart search and retrieval
• Cross-platform compatibility

Technical Stack

Component	Technology
Frontend	React
Desktop Framework	Tauri
Rust Backend	Rust
Python Backend	Python
Database	SQLite
Image Processing	OpenCV, ONNX Runtime
Object Detection	YOLOv11
Face Recognition	FaceNet
API Framework	FastAPI
State Management	Redux Toolkit
Styling	Tailwind CSS
Routing	React Router
UI Components	ShadCN
Build Tool	Vite
Type Checking	TypeScript

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Our Code of Conduct: CODE_OF_CONDUCT.md