schihei/ascend-tools
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update dnmetis/README.md.

Browse Source
This commit is contained in:
chengchunlei
2020-10-26 10:07:15 +08:00
committed by Gitee
parent 435b1f61ab
commit 3871b5baea
1 changed files with 7 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files
dnmetis/README.md
+7 -8
View File
@@ -28,19 +28,18 @@ If you want to acknowledge how to generate om from pb，pls download efficientne
## 3.Start execute the inference: ## 3.Start execute the inference:
sh run_efficientnet-b8.sh bash run_inference.sh
or
python3.7 main.py --model=./model/efficientnet-b8.om --image_size='672,672,3' --inputs='images:0' --outputs='Softmax:0' --precision=fp16
## 4.ATC offline model generate (optional): ## 4.Top1 Accuracy of entire Imagenet2012-val Datasets(5w pictures):
![输入图片说明](https://images.gitee.com/uploads/images/2020/0919/010210_5cf496fc_5418572.png "屏幕截图.png")
## 5.modify main.py for your own model:
1.download efficientnet-b8 model(.pb) URL: obs://hwwheel23/efficientnet-b8.pb 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 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:
![输入图片说明](https://images.gitee.com/uploads/images/2020/0919/010210_5cf496fc_5418572.png "屏幕截图.png")