Reputation: 1
I have this screenshot of an x-ray image in a jupyter notebook:
and after applying normalization in this code
from sklearn.preprocessing import StandardScaler
import numpy as np
X_train = np.reshape(X_train, (X_train.shape[0], -1))
X_test = np.reshape(X_test, (X_test.shape[0], -1))
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)
X_test = scaler.transform(X_test)
X_train = np.reshape(X_train, (X_train.shape[0], 224, 224,3))
X_test = np.reshape(X_test, (X_test.shape[0], 224, 224,3))
print(X_train.shape)
the x-ray image appears like that
is that normal?
I tried to normalize my x-ray images for the model can easily predict the results
Upvotes: 0
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