typeError :'nonType error is not iterble'

[BlcaKHat]

got this error while python ./SSRN_IN.py

[zilongzhong]

This message means the mat data hasn't been read, please check whether .mat data is in the right directory.

[BlcaKHat]

The path is correct as i think.

[zilongzhong]

In case the data have been contaminated, you can download them directly from this link: http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes#Indian_Pines Another suggestion is to use python console (in IDE like PyCharm) to test and debug this snippet.

[BlcaKHat]

I will try..

[BlcaKHat]

It processes for a long time then It thrown this error..

[zilongzhong]

I used GTX 980M for this paper, it should not train for a long time if you use a relatively new GPU. The presented error is again related to the path, check it and change to your absolute path. Good luck.

[BlcaKHat]

@zilongzhong it's talking a lot of time If I calculate, it will take around 400 hours to complete. what should i do..

[BlcaKHat]

I can convert my image to array . can you help me where I should put that array in code.

[BlcaKHat]

Is there a way to reduce the training time ? what is TRAIN_SIZE 2055 and nb_epoch 200 .

[zilongzhong]

Make sure you have install Keras, which could be a problem leading to low training rate, you can install it in your Anaconda envinronment by: conda install -c conda-forge keras

[zilongzhong]

TRAIN_SIZE = 2055 means the size of training samples and nb_epoch = 200 means the training process go over all training data for 200 times.

[zilongzhong]

I will update the repo using the latest Tensorflow and Keras version, and add a function to read HSI data. Stay tuned.