ESP-VISION Programming Guide

[中文]

ESP-VISION is a Low-Code Edge AI & Computer Vision Framework for Espressif SoCs. It deeply integrates essential capabilities including camera capture, image processing, video encoding and decoding, network transmission, model deployment, and AI inference, while providing unified and standardized Python APIs that enable developers to rapidly build edge applications combining visual capture, intelligent recognition, display, and media streaming.

This guide is organized as follows.

• Introduction
  • What Is ESP-VISION
  • Key Features
  • Supported Boards
• Chip and Board Support
  • Supported Development Boards
  • Chip Versus Board Capabilities
  • Standard MicroPython Features
• Get Started
  • Prerequisites
  • Build, Flash, and Monitor
  • Common idf.py Commands
  • Run Your First Script
• Concepts
  • MicroPython Language Fundamentals
  • Packages and Deployment
  • The Image Model
  • Image Processing
  • AI Inference
  • The Camera Pipeline
  • Codecs and Streaming
  • Startup Sequence
• API Reference
  • MicroPython APIs
  • sensor – Camera
  • image – Image Processing
  • display – LCD Output
  • espdl – Model Inference
  • image.ImageIO – Image Stream
  • h264 – H.264 Encoding
  • rtsp – RTSP Streaming
• How-To Guides
  • Add a New Python Module
  • Customize Firmware Features
  • Introduce a New Model
  • Add a New Board
• Solution Architecture
  • Layered Overview
  • Capture-to-Output Data Flow
  • Source Tree
  • Board Composition
  • Chip-Dependent Sources
  • MicroPython Overlay
• Project Relationships
  • ESP-VISION, MicroPython, and OpenMV
  • Dependency Layers
• Licensing
  • License Inventory
  • How to Interpret the Licenses
  • OpenMV and GPL Code Paths
  • Adding Third-Party Code