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gatos.py
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import tkinter as tk
from tkinter import filedialog
from tkinter import *
from PIL import ImageTk, Image
import numpy as np
import os
os.environ["CUDA_VISIBLE_DEVICES"]="1"
from keras.models import load_model
model = load_model('model1_catsVSdogs_100_epoch.h5')
#dictionary to label all traffic signs class.
#initialise GUI
top=tk.Tk()
top.geometry('800x600')
top.title('Classificação Cão ou Gato')
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((224,224))
image = np.expand_dims(image, axis=0)
image = np.array(image)
image = image/255
pred = model.predict([image])[0]
#sign = classes[pred]
#print(sign)
inds = pred.argsort()[::-1][:5]
#print(inds)
cls_list = ['gato', 'cão']
for i in inds:
print(' {:.3f} {}'.format(pred[i], cls_list[i]))
label.configure(foreground='#011638', text=cls_list[np.argmax(pred)])
def show_classify_button(file_path):
classify_b=Button(top,text="Classifica",
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 uma imagem",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="Cats VS Dogs",pady=20, font=('arial',20,'bold'))
heading.configure(background='#CDCDCD',foreground='#364156')
heading.pack()
top.mainloop()