How to use MaixPy3 nn to test Yolov2 script
Q2Learn opened this issue · 3 comments
I have a problem with understanding how to use example models yolov2 with MaixPy3 nn on Sipeed MAIX-II Dock V831.
In the MaixPy3_scripts example applications presented here there is a yolov2 model with the .bin and .param files and an example script to test completed. Which is very cool.
So I want to load that example into sipeed v831 board for object detection. So I transfer over the files to my board via the microSD card and moved it to /home/res and I change the directories and permissions in the file and try and run it but I am getting an error when running it:
ImportError: cannot import name 'decoder' from 'maix.nn' (/usr/lib/python3.8/site-packages/maix/nn.pyc)
In the readme for ../MaixPy3_scripts/ it says (google translated):
"When using the scripts in scripts, please install some resource files in basic first. The resource files that scripts depend on are concentrated in basic/res, and they should be copied to v831 before running!"
But I can't find basic/res to install the resource files and cant find a tutorial or help anywhere on how to get that going. Any help will be appreciated in finding a location or a tutorial or just some help in setting it up. My goal is to get an example yolov2 running object detection so that I can see how it performs and eventually try and build my own yolov2 model and maybe even train new algorithms like YoloR or yoloRET for Edge AI.
I will be glad for your feedback!
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Some content has been built into the latest M2 Docker image
Thanks @junhuanchen that worked. I updated to the latest firmware and transferred over the example application script at https://github.com/sipeed/MaixPy3_scripts for nn_face and I was able to test it.
Thank you for your help.