基本思想：部署yolov8-seg到ncnn、mnn、openvino、oak,rk3588平台上，仅仅做记录
测试时间2023-04-28代码main主分支
实验模型：链接: https://pan.baidu.com/s/1ilX1YMuhONkisKuGuiqvWw?pwd=75ti 提取码: 75ti
测试图片
一、先转成是用官方模型转onnx首先，然后进行sim一下,是用模型日期2023-04-22，下载模型然后生成ttochscript、onnx和openvino模型
1）使用pnnx转模型
ubuntu@ubuntu:~/Downloads/pnnx-20230420-ubuntu (1)/pnnx-20230420-ubuntu$ ./pnnx /home/ubuntu/ultralytics/yolov8n-seg.torchscript inputshape=[1,3,640,640]
pnnxparam = /home/ubuntu/ultralytics/yolov8n-seg.pnnx.param
pnnxbin = /home/ubuntu/ultralytics/yolov8n-seg.pnnx.bin
pnnxpy = /home/ubuntu/ultralytics/yolov8n-seg_pnnx.py
pnnxonnx = /home/ubuntu/ultralytics/yolov8n-seg.pnnx.onnx
ncnnparam = /home/ubuntu/ultralytics/yolov8n-seg.ncnn.param
ncnnbin = /home/ubuntu/ultralytics/yolov8n-se