Fwd: ml on medical images - keras

[נתי שטרן]

---------- Forwarded message ---------
מאת: נתי שטרן <nsh531 at gmail.com>
‪Date: יום א׳, 10 ביולי 2022, 13:01‬
Subject: Re: ml on medical images - keras
To: Neuroimaging analysis in Python <neuroimaging at python.org>


p.s. all the pictures are in PNG FORMAT

‫בתאריך יום א׳, 10 ביולי 2022 ב-13:01 מאת נתי שטרן <‪nsh531 at gmail.com‬‏>:‬

> What's the problem on this code:
>
> import os
> from pickletools import float8, uint8
> from PIL import Image
>
> import numpy as np
> import tensorflow as tf
> from tensorflow import keras
> from tensorflow.keras import layers
> inputs=[]
> for i in os.listdir("c:/inetpub/wwwroot/out"):
>     for j in os.listdir("c:/inetpub/wwwroot/out/"+i+"/"):
>             A=Image.open("c:/inetpub/wwwroot/out/"+i+"/"+j)
>             from matplotlib import pyplot as plt
>
>             filename = 'image-test'
>
>
>           #  img = ( filename + '.png' )
>             x=np.array(A,dtype=np.shape(A))
>             inputs.append(x)
>
> simple_rnn = tf.keras.layers.SimpleRNN(4)
> #np.int
> output = simple_rnn(inputs=np.array(inputs,dtype=np.ndarray(260, 730, 4)))
>  # The output has shape `[32, 4]`.
>
> simple_rnn = tf.keras.layers.SimpleRNN(
>     4, return_sequences=True, return_state=True)
>
> # whole_sequence_output has shape `[32, 10, 4]`.
> # final_state has shape `[32, 4]`.
> whole_sequence_output, final_state = simple_rnn(inputs)
>
> --
> <https://netanel.ml>
>


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