This is a project to deploy Nanodet on Atlas200DK.

The code contains two achiving method at opencv and CANN(Compute Architecture for Neural Networks) in Python.

我很喜欢Nanodet这个算法，因此把它部署到了Atlas200DK上，分别使用python opencv和华为CANN框架实现了嵌入上nanodet模型的推理。

Before trying, you should have prepared for the running environments as below, especially the pyACL for CANN

opencv_python>=4.0
opencv_contrib_python>=4.0
pyACL

git clone  https://github.com/stunback/atlas_nanodet.git

# your '~/.bashrc' shoule have the CANN environments setup
source ~/.bashrc  
cd atlas_nanodet/src

# inference at CANN
python3 acl_nanodet.py

# inference at opencv
python3 main_nanodet.py

The onnx model I use is from the origin nanodet repo,

https://github.com/RangiLyu/nanodet.git

So I just test the model inference time without pre and post process,

nanodet_s(320)
onnx=170.5ms
cann=8.5ms

nanodet_m(416)
onnx=280.0ms
cann=11.0ms

For more details, welcome to my blog:
https://blog.csdn.net/qq_41035283/article/details/119150751