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Update 232_brats2020_get_data_ready.py #97

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Update 232_brats2020_get_data_ready.py #97

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5 changes: 3 additions & 2 deletions 231_234_BraTa2020_Unet_segmentation/232_brats2020_get_data_ready.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@
import glob
from tensorflow.keras.utils import to_categorical
import matplotlib.pyplot as plt
from tifffile import imsave
from tifffile import imwrite

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
Expand Down Expand Up @@ -130,7 +130,7 @@
plt.show()


imsave('BraTS2020_TrainingData/combined255.tif', combined_x)
imwrite('BraTS2020_TrainingData/combined255.tif', combined_x)
np.save('BraTS2020_TrainingData/combined255.npy', combined_x)
#Verify image is being read properly
#my_img=imread('BraTS2020_TrainingData/combined255.tif')
Expand Down Expand Up @@ -215,3 +215,4 @@
# To only split into training and validation set, set a tuple to `ratio`, i.e, `(.8, .2)`.
splitfolders.ratio(input_folder, output=output_folder, seed=42, ratio=(.75, .25), group_prefix=None) # default values
########################################