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update dnmetis/README.md.

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chengchunlei
2020-10-26 10:45:33 +08:00
committed by Gitee
parent ef0862060d
commit e90f1861fb
1 changed files with 2 additions and 2 deletions
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dnmetis/README.md
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@@ -58,7 +58,7 @@ As you seen, "139.47 ms" is the npu inference time，"0.8" is the top1 Accuracy
Only need to concern about the dataset，pre-process，post-process： Only need to concern about the dataset，pre-process，post-process：
###pre-process: ### pre-process:
``` ```
def resize_with_aspectratio(img, out_height, out_width, scale=87.5, inter_pol=cv2.INTER_LINEAR): def resize_with_aspectratio(img, out_height, out_width, scale=87.5, inter_pol=cv2.INTER_LINEAR):
height, width = img.shape[:2] height, width = img.shape[:2]
@@ -102,7 +102,7 @@ def pre_process_noisy(img, dims=None, precision="fp32"):
return img return img
``` ```
###inference and post-process ### inference and post-process
``` ```
predictions = backend.predict(args.feed[i]) predictions = backend.predict(args.feed[i])
#print(args.feed[i].shape) #print(args.feed[i].shape)