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


p.s. all the pictures are in PNG FORMAT

‫בתאריך יום א׳, 10 ביולי 2022 ב-13:01 מאת נתי שטרן <‪nsh531@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)

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