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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2022/07/05 15:52:44 UTC

[GitHub] [incubator-mxnet] GianlucaVesentini commented on issue #7398: inconsistent results when infering

GianlucaVesentini commented on issue #7398:
URL: https://github.com/apache/incubator-mxnet/issues/7398#issuecomment-1175218875

   I think the problem is that `ImageRecordIter` also performs data augmentation on the images (as explained [here](https://github.com/apache/incubator-mxnet/discussions/12671#discussioncomment-62256)), while if you use `cv2.imread()` you obviously have to do that on your own.
   
   I'm facing the same issue: I trained a `mobilenetv3_small` model using a .rec file because it is clearly the preferred way, but now I'm not able to reproduce the same pre-processing operations on images before inference and this gives me completely different results.
   
   Is there a solution to this problem?


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