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Not getting the exact results
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.
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0.99457995 0. 0. ] i.e. class- 9, 15,16 are not detected at all.
The input patch length is 3.
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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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.
Check the sizes of train, val, test sets. This is a problem of datasets size consistency between calculated size setting and intended setting.
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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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.
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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