Gesture recognition system based on ESP32-S3 中文
A complete deep learning gesture recognition project, from model training to ESP32-S3 embedded deployment.
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training: Model training related files, including training code and various generated model files
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quantization: Model quantization optimization, implementing multiple quantization strategies to adapt to embedded devices
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deployment: ESP32-S3 deployment code, complete implementation based on ESP-IDF framework
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dataset: Contains gesture image datasets for training and testing
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environment: Environmental requirements (different steps require different environments).
- Deep learning model for real-time gesture recognition
- Support multiple quantization strategies to adapt to resource-constrained devices
- Complete ESP32-S3 implementation based on ESP-IDF framework
- Provide pre-trained models in multiple formats
- Complete ESP-DL Workflow Guide
- Comprehensive tutorial covering setup, model conversion, quantization and deployment
- Environment setup
- Model preparation
- Quantization process
- ESP32 deployment
- Performance optimization