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visualize.py
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import cv2
from tkinter import *
from tkinter import ttk, messagebox
from rpm import motor_rmp
from tip import tip
class visualize():
def __init__(self):
self.window = Tk()
self.window.title("Fuzzy Neural Network Systems")
self.window.geometry('800x950')
self.tab_control = ttk.Notebook(self.window)
self.tab1 = ttk.Frame(self.tab_control)
self.tab2 = ttk.Frame(self.tab_control)
self.tab3 = ttk.Frame(self.tab_control)
self.tab_control.add(self.tab1, text='RPM Calculate')
self.tab_control.add(self.tab2, text='TIP Calculate')
self.tab_control.add(self.tab3, text='Info')
self.introframe = ttk.Labelframe(self.tab1, )
self.info_1 = ttk.Labelframe(self.tab3,text= "Submited to")
self.info_2 = ttk.Labelframe(self.tab3,text= "Submited by")
self.l_frame = ttk.Labelframe(self.tab1, width=100, height=100)
self.v_frame = ttk.Labelframe(self.tab1,text='visualize')
heading = Label(self.introframe, text="Fuzzy Neural Network Systems\n Motor Control Using Mandani Method",font=("Arial", 12))
heading.grid(column=0,row=0,sticky=N)
submited_to = Label(self.info_1, text=" Prof. Young Im Cho\n Gachon University, South Korea",
font=("Arial", 12))
submited_to.grid(column=0, row=1, sticky=N)
submited_by = Label(self.info_2, text="Soikat Hasan Ahemd\n ID: 202040110 \nGachon University, South Korea",
font=("Arial", 12))
submited_by.grid(column=0, row=1, sticky=N)
Result_txt = Label(self.l_frame, text="Calculated RPM : ",font=("Arial", 14))
Result_txt.grid(column=0, row=4,sticky=N)
self.Result = Label(self.l_frame, text="N/A",font=("Arial", 16))
self.Result.grid(column=1, row=4,sticky=N)
input_txt = Label(self.l_frame, text="Insert Voltage\n (0~5) : ",font=("Arial", 14))
input_txt.grid(column=0, row=2,sticky=N)
self.txt = Entry(self.l_frame,width=10)
self.txt.grid(column=1, row=2,sticky=N)
btn = Button(self.l_frame, text="Calculate RPM", command=self.clicked)
btn.grid(column=3, row=2,sticky=N)
self.canvas = Canvas(self.v_frame, width=700, height=800)
# canvas.pack()
self.canvas.grid( row=0)
#............................................................................................
self.introframe2 = ttk.Labelframe(self.tab2, )
self.l_frame2 = ttk.Labelframe(self.tab2, width=100, height=100)
self.v_frame2 = ttk.Labelframe(self.tab2, text='visualize')
heading2 = Label(self.introframe2, text="Fuzzy Neural Network Systems\n TIP Calculation Using Mandani Method",
font=("Arial", 12))
heading2.grid(column=0, row=0, sticky=N)
Result_txt2 = Label(self.l_frame2, text="Calculated TIP : ", font=("Arial", 14))
Result_txt2.grid(column=0, row=4, sticky=N)
self.Result2 = Label(self.l_frame2, text="N/A", font=("Arial", 16))
self.Result2.grid(column=1, row=4, sticky=N)
input_txt1 = Label(self.l_frame2, text="Insert service\n (0~10) : ", font=("Arial", 14))
input_txt1.grid(column=0, row=2, sticky=N)
self.txt11 = Entry(self.l_frame2, width=10)
self.txt11.grid(column=1, row=2, sticky=N)
input_txt_2 = Label(self.l_frame2, text="Insert Food Quality\n (0~10) : ", font=("Arial", 14))
input_txt_2.grid(column=0, row=3, sticky=N)
self.txt12 = Entry(self.l_frame2, width=10)
self.txt12.grid(column=1, row=3, sticky=N)
btn2 = Button(self.l_frame2, text="Calculate TIP", command=self.clickedtip)
btn2.grid(column=3, row=3, sticky=N)
self.canvas2 = Canvas(self.v_frame2, width=700, height=800)
# canvas.pack()
self.canvas2.grid(row=0)
self.tab_control.pack(expand=1, fill='both')
self.introframe.pack()
self.introframe2.pack()
self.info_1.pack()
self.info_2.pack()
self.l_frame.pack()
self.l_frame2.pack()
self.v_frame.pack()
self.v_frame2.pack()
self.window.mainloop()
def clicked(self):
input_txt = self.txt.get()
if len(input_txt) == 0:
messagebox.showwarning('Input Error', 'Please Input A Voltage (0~5)')
else:
try:
value = float(input_txt)
if value < 0.0 or value > 5.0:
messagebox.showwarning('Input Error', 'value Out of range.\n Input should be 0 ~ 5')
else:
out = motor_rmp(value)
self.Result.configure(text='{:02f}'.format(out))
img = cv2.imread('output/out.png')
resize = cv2.resize(img,(600,700))
cv2.imwrite('output/out.png', resize)
self.img = PhotoImage(file="output/out.png")
self.canvas.create_image(20, 20, anchor=NW, image=self.img)
# self.canvas.configure(image=self.img)
except:
messagebox.showwarning('Input Error', 'Input Should be Integer or Float Value')
def clickedtip(self):
input_txt1 = self.txt11.get()
input_txt2 = self.txt12.get()
if len(input_txt1) == 0 or len(input_txt2) == 0 :
messagebox.showwarning('Input Error', 'Input can not be empty')
else:
try:
service = float(input_txt1)
quality = float(input_txt2)
if service < 0.0 or service > 10.0 or quality < 0.0 or quality > 10.0:
messagebox.showwarning('Input Error', 'value Out of range.\n Input should be 0 ~ 10')
else:
out = tip(quality,service)
self.Result2.configure(text='{:02f}'.format(out))
img2 = cv2.imread('output/out2.png')
resize2 = cv2.resize(img2, (600, 700))
cv2.imwrite('output/out2.png', resize2)
self.img2 = PhotoImage(file="output/out2.png")
self.canvas2.create_image(20, 20, anchor=NW, image=self.img2)
except:
messagebox.showwarning('Input Error', 'Input Should be Integer or Float Value')