chengchunlei1.Install requirements：
pip3.7.5 install python-opencv
cd backend_C++/dnmetis_backend
pip3.7.5 setup.py install
2.Download dataset and model(.om)
1.download Imagenet-val dataset URL: http://www.image-net.org/download-imageurls
2.download efficientnet-b8 model(.om) URL: obs://hwwheel23/efficientnet-b8.om
3.process the original Imagenet-val dataset as list:
3.Start execute the inference:
sh run_efficientnet-b8.sh
or
python3.7 main.py --model=/data/hwwheel123/model/efficientnet-b8.om --image_size='672,672,3' --inputs='images:0' --outputs='Softmax:0' --precision=fp16
4.ATC offline model generate (optional):
1.download efficientnet-b8 model(.pb) URL: obs://hwwheel23/efficientnet-b8.pb
2.atc --model=$MODEL_DIR/efficientnet-b8.pb --framework=3 --input_shape='images:1,672,672,3' --output=$MODEL_DIR/efficientnet-b8 --mode=0 --out_nodes='Softmax:0' --soc_version=Ascend310 --input_fp16_nodes=images --output_type=FP16
5.Imagenet2012-val Top1 Accuracy:
