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How should I varify the trained model by run_val.sh? #4

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yushanshan05 opened this issue Jul 20, 2017 · 5 comments
Open

How should I varify the trained model by run_val.sh? #4

yushanshan05 opened this issue Jul 20, 2017 · 5 comments

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@yushanshan05
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I have seen the code that the validated datavaridat is set by the parameter of ‘--data-val'. And the default value is '/tmp/val.rec‘. But I don't know what and where this file is. And if I want to test a image, how should I do?
Thanks very much!
@yushanshan05 yushanshan05 changed the title How to varify the trained model by run_val.sh? How should I varify the trained model by run_val.sh? Jul 20, 2017
@jiangqr
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jiangqr commented Jul 20, 2017

use im2rec can generate rec file

@hcwang95 hcwang95 mentioned this issue Jul 29, 2017
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@cypw
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cypw commented Jul 29, 2017

@yushanshan05 @whcacademy

You should be able to fully reproduce the result by the following steps:
( I've double checked by myself )

  1. Download ImageNet-1k validation set
  2. git clone --recursive https://github.com/cypw/DPNs.git
  3. Setup DPNs/mxnet && make
  4. Generate the val.rec file by $im2rec_path $val_lst_path $val_lst_pref ./val.rec unchanged=1
  5. Set the path for val.rec in scores.py
  6. run ./run_val.sh

@hcwang95
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hcwang95 commented Aug 2, 2017

That's cool!
Thanks for your help!

@gjd2017
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gjd2017 commented Aug 22, 2017

Hi,
I have trained the model(Dpn-92) based on my own dataset, the epoch is 20, however, when I use scores.py and run_val.sh test my dataset, there is a mistake, the val.log is empty. How should I do?
Thanks very much!

@gjd2017
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gjd2017 commented Aug 23, 2017

Solved

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5 participants
@jiangqr @cypw @hcwang95 @yushanshan05 @gjd2017