bkullukcu

import pandas as pd
import numpy as np
import os
import tensorflow as tf
import cv2
from tensorflow import keras
from tensorflow.keras import layers, Input , losses
from keras.layers.core import Dense , Flatten
from tensorflow.keras.layers import InputLayer
from tensorflow.keras.models import Sequential, Model

bkullukcu

iteration = tf_model.fit(x=np.array(img_data, np.float32), y=np.array(list(map(int,target_val)), np.float32), epochs=5)

bkullukcu

tf_model=tf.keras.Sequential(
        [
            tf.keras.layers.InputLayer(input_shape=(IMG_HEIGHT,IMG_WIDTH, 3)),
            tf.keras.layers.Conv2D(filters=32, kernel_size=3, strides=(2, 2), activation='relu'),
            tf.keras.layers.Conv2D(filters=64, kernel_size=3, strides=(2, 2), activation='relu'),
            tf.keras.layers.Flatten(),
            tf.keras.layers.Dense(6)
        ])
tf_model.compile(optimizer='rmsprop', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

bkullukcu

dict_map={k: v for v, k in enumerate(np.unique(class_name))}

bkullukcu

IMG_WIDTH=100
IMG_HEIGHT=100
img_folder_path=r'TRAIN_SET_FOLDER'

def create_dataset(img_folder_path):
   
    img_name= []
    class_name= []
   
    for dir1 in os.listdir(img_folder_path):

bkullukcu

plt.figure(figsize=(20,20))

image_print_folder=r'PATH_FOR_THE_TRAIN_SET_EOSINOPHIL'

for i in range(5):
    file_name = random.choice(os.listdir(image_print_folder))
    image_print_path= os.path.join(image_print_folder, file_name)
    image=mpimg.imread(image_print_path)
    axis=plt.subplot(1,5,i+1)
    axis.title.set_text(file_name)

bkullukcu

import pandas as pd
import numpy as np
import os
import tensorflow as tf
import cv2
from tensorflow import keras
from tensorflow.keras import layers, Input , losses
from keras.layers.core import Dense , Flatten
from tensorflow.keras.layers import InputLayer
from tensorflow.keras.models import Sequential, Model

bkullukcu

import ftplib
import getpass

print("FTP File Send-Receive Software")

user = ""
address = ""
p = ""

while not (user or address or p): 

bkullukcu

# If upload
if sorr == "S":

    while True:
        
        ifile = input("Enter file name: ") # Get the file name

        try:

            fcheck = open(ifile, 'r').readlines()

bkullukcu

while not (user or address or p): 

    while True:

        # Get FTP credentials
        try:
            user = input("Username: ")
            print("Password:")
            p = getpass.getpass()
            address = input("Server Address: ")