update dnmetis/README.md.
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@@ -30,6 +30,8 @@ Here is an example of 10 pictures of Imagenet-val dataset:/
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## 3.Start execute the inference:
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bash run_inference.sh
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Log:/
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```
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[INFO] start backend_predict is -1518493925
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[INFO] start Execute is -1518490258
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@@ -45,6 +47,7 @@ img_orig: ILSVRC2012_val_00000010.JPEG label: 332 predictions: 332
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Predict total jpeg: 10 Accuracy: 0.8
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```
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As you seen, "139.47 ms" is the npu inference time,"0.8" is the top1 Accuracy of 10 pictures。
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## 4.Top1 Accuracy of entire Imagenet2012-val Datasets(5w pictures):
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