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Not getting the exact results

Open TanmDL opened this issue 5 years ago • 6 comments

Thank you for sharing the code. I have tested the code with IndianPines dataset. I have trained the model with 200 runs as it is mentioned on readme file. After 200 runs of training, each element in EachClassAccuracy are obtained as follows, but some of them are showing zeros values. [1. 0.99557913 0.99250375 1. 0.99741602 1. 1. 1. 0. 0.99734748 0.97369727 1.

  1.     0.99457995    0.         0.        ] i.e. class- 9, 15,16 are not detected at all. 
    

The input patch length is 3.

TanmDL avatar Jan 10 '19 04:01 TanmDL

Please check different settings like learning rates and patch length, and check numbers of data for training.

On Wed, 9 Jan 2019 at 23:40, TanmDL [email protected] wrote:

Thank you for sharing the code. I have tested the code with IndianPines dataset. I have trained the model with 200 runs as it is mentioned on readme file. After 200 runs of training, each element in EachClassAccuracy are obtained as follows, but some of them are showing zeros values. [1. 0.99557913 0.99250375 1. 0.99741602 1. 1. 1. 0. 0.99734748 0.97369727 1.

   0.99457995    0.         0.        ] i.e. class- 9, 14,15 are not detected at all.

The input patch length is 3.

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zilongzhong avatar Jan 11 '19 02:01 zilongzhong

Thank you for giving the reply. It is working now. Pls give the reply of #10 issue. I have also the similar questions what he has mentioned.

TanmDL avatar Jan 11 '19 05:01 TanmDL

Check the sizes of train, val, test sets. This is a problem of datasets size consistency between calculated size setting and intended setting.

zilongzhong avatar Jan 24 '19 18:01 zilongzhong

thank you Zilong, it was size issues.  On Friday, January 25, 2019, 5:42:07 AM GMT+11, Zilong Zhong [email protected] wrote:

Check the sizes of train, val, test sets. This is a problem of datasets size consistency between calculated size setting and intended setting.

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TanmDL avatar Jan 24 '19 23:01 TanmDL

Thank you for giving the reply. It is working now. Pls give the reply of #10 issue. I have also the similar questions what he has mentioned.

Could you tell me how you solve your problem? I have the same problem, and I have tried many ways but it still didn't work. Thank you.

LemonLov avatar Apr 22 '19 07:04 LemonLov

Basically, it's an indexing changing problem, because we need to pad the raw HSI with 3 pixels at each edge. The best way I suggest is to print out old and new indexes to make sure they correspond to each other.

On Mon, 22 Apr 2019 at 03:37, Arthur [email protected] wrote:

Thank you for giving the reply. It is working now. Pls give the reply of #10 https://github.com/zilongzhong/SSRN/issues/10 issue. I have also the similar questions what he has mentioned.

Could you tell me how you solve your problem? I have the same problem, and I have tried many ways but it still didn't work. Thank you.

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zilongzhong avatar Apr 22 '19 13:04 zilongzhong