esp-idf-lab is a collection of practical experiments and reference projects for learning ESP chip features with ESP-IDF. This project is built on ESP-IDF Release V5.5.
This repository provides practical examples demonstrating how to achieve various capabilities using the ESP32 series chips (especially ESP32-S3):
- Image Classification: Categorize images (e.g., CIFAR10, MNIST) using TensorFlow Lite Micro.
- Data Prediction: Perform regression and prediction tasks like Boston Housing pricing and Sine wave prediction using TFLite.
- Audio Processing: Extract MFCC (Mel-frequency cepstral coefficients) features from audio, and implement voice-activated lighting using the ESP-SR library.
- LLM Integration: Connect deeply with various Large Language Models via HTTP APIs, including Moonshot Kimi, Aliyun Tongyi Qianwen, Xunfei Xinghuo, and a general ESP GPT example.
- Baidu Cloud Services: Practical integrations for Baidu Access Token retrieval, Image Classification, Speech Recognition, and Text-to-Speech (TTS).
- I2S Audio Playback: Implement real-time audio playback using I2S amplifiers like MAX98357A.
- Recording & Storage: Record audio via I2S microphone (e.g., MSM261S4030H0) and save it directly to an SD Card.
- USB Device Emulation: Emulate devices like HID Keyboard, HID Audio Control, and native CDC ACM (Virtual COM Port).
- USB Data Transfer: Implement custom bulk transfers, WinUSB (no composite), and WebUSB.
- USB Host: Examples for USB Host features.
- LCD Displays: Drive LCD screens and parse JPEG images from SPIFFS to display them.
- PWM & Control: Generate complementary PWM signals and calculate PWM information.
- Communication Buses: Drive common protocols like CAN, I2C, SPI, and GPIO high-speed flipping (up to 8MHz on S3).
- Signal Control: Utilize RMT and PCNT.
- Serialization: Parse and handle JSON data, Protobuf (using nanopb), and Protobuf-C.
- Industrial Protocols: Implement Modbus communication.
- LVGL Integration: Create graphical user interfaces using LVGL, including examples combining LCD and camera.
- Custom UI: Projects like
wououi.
- Processor Instruction Extensions (PIE): Examples covering assembly instructions, math, and memory operations on the core.
- Build System: Advanced CMake features like building for two targets (
build_two_target).
