一些关于目标检测的脚本的改进思路代码，详细请看readme.md

[CVPR 2023] DepGraph: Towards Any Structural Pruning

PyTorch Neural Network eXchange

Multi-backbone, Prune, Quantization, KD

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

ncnn is a high-performance neural network inference framework optimized for the mobile platform

The YOLOv5 object detection android example

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Android Live Demo inferenece of Yolov7 using ncnn