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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/21 06:26:22 UTC
[GitHub] [incubator-mxnet] Ian8888 opened a new issue #14486: Predict of
mx.mod.Module api problem 2
Ian8888 opened a new issue #14486: Predict of mx.mod.Module api problem 2
URL: https://github.com/apache/incubator-mxnet/issues/14486
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## Description
I have the question about the predict result.
When I make the inference program, I must be know the model accuracy result about image classification.
In my job, I have the two classification(0 or 1 labels).
So, I use the im2rec tool to make the .rec and .lst file.
> 39 1.000000 1/CenterOrg1_000_2_B_b04dfe80-d9f5-4928-9ac0-550fc5d7688a_ScanImgORG.jpg
> 24 1.000000 1/CenterOrg1_000_2_A_16e83b7c-9daf-4393-9a62-41a2a65125ce_ScanImgORG.jpg
> 28 1.000000 1/CenterOrg1_000_2_A_88d71f72-9858-41f3-bd70-8b12a40f009d_ScanImgORG.jpg
> 30 1.000000 1/CenterOrg1_000_2_A_ec1ed52c-c8ea-4cae-967c-25de87720416_ScanImgORG.jpg
> 21 1.000000 1/CenterOrg1_000_1_B_020e5e40-2611-4548-ae57-78da77ddcbca_ScanImgORG.jpg
> 10 0.000000 0/CenterOrg0_0_155_B_ebea1c1c-560f-4512-8ce2-58c9c8fbd7fa_ScanImgORG.jpg
> 34 1.000000 1/CenterOrg1_000_2_B_6cb8cdd4-4345-488b-a195-1c1b3692acb0_ScanImgORG.jpg
and, use mx.image.ImageIter api to catch the data.
Then, I compare the data.label and predict result label to calculate acc.
And I run the same code in every times, but the acc is not same.
> Infernce Accuracy: 0.45
> Infernce Accuracy: 0.5
> Infernce Accuracy: 0.475
So, I gusset the predict api catch the image data that wasn't the same order with the ImageIter.
How can I solve the problem to calculate the Infernce Accuracy?
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