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- from sklearn.preprocessing import StandardScaler
- X_scale = StandardScaler()
- with open("vpravo.jpg",'rb') as f:
- b=f.read()
- print(b)
- b=float(b)
- X = X_scale.fit_transform(b)#не работает
- print(X)
- with open("ko1.jpg",'rb') as f:
- b1=f.read()
- l=[]#сюда пишу
- for j in b1:
- l.append(float(j)/255) #здесь нормализую байты/пикселы
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