YOLOv26n: Optimized QAT & Deployment on ESP32-P4
An end-to-end workflow for Quantization Aware Training (QAT) and deployment of YOLOv26n on the ESP32-P4 SoC. It utilizes the ESP-DL library and a custom dual-head architecture to achieve high-performance, NMS-free inference. The project includes both a Python-based quantization pipeline and an optimized C++ firmware engine.