ImageClassificationGUI/gui.py at master · amasick/ImageClassificationGUI · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
import tkinter as tk
from tkinter import filedialog
from tkinter import *
from PIL import Image, ImageTk
import numpy
from keras.datasets import cifar10
import matplotlib.pyplot as plt
import tensorflow as tf
import keras as K
from keras.models import model_from_json
from keras.models import load_model

model = load_model("model.h5")

classes = {
    0:'aeroplane',
    1:'automobile',
    2:'bird',
    3:'cat',
    4:'deer',
    5:'dog',
    6:'frog',
    7:'horse',
    8:'ship',
    9:'truck'
}

top=tk.Tk()
top.geometry('800x600')
top.title('Image Classification CIFAR10')
top.configure(background='#CDCDCD')
label=Label(top,background='#CDCDCD', font=('arial',15,'bold'))
sign_image = Label(top)

def classify(file_path):
    global label_packed
    image = Image.open(file_path)
    image = image.resize((32,32))
    image = numpy.expand_dims(image, axis=0)
    image = numpy.array(image)
    pred = model.predict([image])[0]
    sign = classes[numpy.where(pred==1)[0][0]]
    print(sign)
    label.configure(foreground='#011638', text=sign)

def show_classify_button(file_path):
    classify_b=Button(top,text="Classify Image", command=lambda: classify(file_path),padx=10,pady=5)
    classify_b.configure(background='#364156', foreground='white', font=('arial',10,'bold'))
    classify_b.place(relx=0.79,rely=0.46)

def upload_image():
    try:
        file_path=filedialog.askopenfilename()
        uploaded=Image.open(file_path)
        uploaded.thumbnail(((top.winfo_width()/2.25), (top.winfo_height()/2.25)))
        im=ImageTk.PhotoImage(uploaded)
        sign_image.configure(image=im)
        sign_image.image=im
        label.configure(text='')
        show_classify_button(file_path)
    except:
        pass

upload=Button(top,text="Upload an image",command=upload_image, padx=10,pady=5)
upload.configure(background='#364156', foreground='white', font=('arial',10,'bold'))
upload.pack(side=BOTTOM,pady=50)
sign_image.pack(side=BOTTOM,expand=True)
label.pack(side=BOTTOM,expand=True)
heading = Label(top, text="Image Classification CIFAR10",pady=20, font=('arial',20,'bold'))

heading.configure(background='#CDCDCD',foreground='#364156')
heading.pack()
top.mainloop()