pt --> TorchScript --> pnnx --> ncnn
# import os
# # 0. 项目下载
# os.system("git clone https://github.com/meituan/YOLOv6.git")
# # 1. 模型下载yolox_tiny,yolox_s,yolox_m,yolox_l,yolox_xl,yolox_Darknet53
# # 2. pt ---> torchscript
# os.system("python3 tools/export_torchscript.py --output-name ts.pt -n yolox-nano -c yolox_nano.pth")
# # 3. ts ---> pnnx ---> ncnn
# os.system("pnnx ts.pt inputshape=[1,3,416,416] inputshape2=[1,3,640,640]") # nano 和tiny输入尺寸为416*416.其余为640*640.通过onnx和PNNX转换均存在以下胶水op,暂无详细手动调整操作