1. caffe installation
   cd 01.caffe1.0
   change Makefile.config (the uploaded Makefile.config file is well configured.)
   make all -j 8
   make py

2. yolov5 model training(Anaconda in recommended)
   cd 02.yolov5
   modify model.yaml
   change nn.Upsample to nn.ConvTranspose2d
   modify data.yaml
   training using script bellow
   python train.py --weights path/to/pretrained/yolov5s.pt
   --cfg path/to/model.yaml
   --data path/to/data.yaml
   --imgsz 416
   --noautoanchor
   detect images using script bellow
   python detect.py --weights path/to/model.pt
   --source path/to/images
   --imgsz 416
   convert to onnx model
   python export.py --weights path/to/trained/model.pt
   --train
   --simplify
   --opset 10
   check the uniformity of pytorch output and onnx output
   python onnx_forward.py path/to/onnx/model.onnx path/to/images

3. caffe model export & detect
   cd 03.onnx2caffe
   change path settings in convertCaffe.py
   python convertCaffe.py path/to/onnx/model.onnx path/to/caffe/model.prototxt path/to/caffe/model.caffemodel

   cd 01.caffe1.0
   change CAFFE_ROOT/tools/caffe_yolov5s.cpp model settings
   make
   CAFFE_ROOT/build/tools/caffe_yolov5s path/to/caffe/model.prototxt path/to/caffe/model.caffemodel path/to/images

4. hisi3559 on board code modification
   first change yolov3 postprocess code to yolov5 postprocess code:
   

   then change yolov3 model parameters settings to yolov5 model parameters settings:
   change code in func SAMPLE_SVP_NNIE_Yolov3_SoftwareInit