Tôi cần trợ giúp, chuyển đoạn code sau đây sang môi trường streamlit

🎈 Using Streamlit
1

SummaryPreformatted text

import sys
import tkinter
from tkinter import Frame, Tk, BOTH, Text, Menu, END
from tkinter.filedialog import Open, SaveAs
import cv2
import numpy as np
import Chapter03 as c3
import Chapter04 as c4
import Chapter05 as c5
import Chapter09 as c9

class Main(Frame):

def __init__(self, parent):
    Frame.__init__(self, parent)
    self.parent = parent
    self.initUI()

def initUI(self):
    self.parent.title("Machine Vision")
    self.pack(fill=BOTH, expand=1)

    menubar = Menu(self.parent)
    self.parent.config(menu=menubar)

    fileMenu = Menu(menubar, tearoff = 0)
    fileMenu.add_command(label="Open", command=self.onOpen)
    fileMenu.add_command(label="OpenColor", command=self.onOpenColor)

    fileMenu.add_command(label="Save", command=self.onSave)
    fileMenu.add_separator()
    fileMenu.add_command(label="Exit", command=self.quit)
    menubar.add_cascade(label="File", menu=fileMenu)

    chapter3Menu = Menu(menubar, tearoff = 0)
    chapter3Menu.add_command(label="Negative", command=self.onNegative)
    chapter3Menu.add_command(label="Logarit", command=self.onLogarit)
    chapter3Menu.add_command(label="PiecewiseLinear", command=self.onPiecewiseLinear)
    chapter3Menu.add_command(label="Histogram", command=self.onHistogram)
    chapter3Menu.add_command(label="HistEqual", command=self.onHistEqual)
    chapter3Menu.add_command(label="HistEqualColor", command=self.onHistEqualColor)
    chapter3Menu.add_command(label="LocalHist", command=self.onLocalHist)
    chapter3Menu.add_command(label="HistStat", command=self.onHistStat)
    chapter3Menu.add_command(label="BoxFilter", command=self.onBoxFilter)
    chapter3Menu.add_command(label="LowpassGauss", command=self.onLowpassGauss)
    chapter3Menu.add_command(label="Threshold", command=self.onThreshold)
    chapter3Menu.add_command(label="MedianFilter", command=self.onMedianFilter)
    chapter3Menu.add_command(label="Sharpen", command=self.onSharpen)

    chapter3Menu.add_command(label="Gradient", command=self.onGradient)

    menubar.add_cascade(label="Chapter3", menu=chapter3Menu)

    chapter4Menu = Menu(menubar, tearoff = 0)
    chapter4Menu.add_command(label="Spectrum", command=self.onSpectrum)
    chapter4Menu.add_command(label="FrequencyFilter", command=self.onFrequencyFilter)
    chapter4Menu.add_command(label="DrawNotchRejectFilter", command=self.onDrawNotchRejectFilter)
    chapter4Menu.add_command(label="RemoveMoire", command=self.onRemoveMoire)
    menubar.add_cascade(label="Chapter4", menu=chapter4Menu)

    chapter5Menu = Menu(menubar, tearoff = 0)
    chapter5Menu.add_command(label="CreateMotionNoise", command=self.onCreateMotionNoise)
    chapter5Menu.add_command(label="DenoiseMotion", command=self.onDenoiseMotion)
    chapter5Menu.add_command(label="DenoisestMotion", command=self.onDenoisestMotion)
    menubar.add_cascade(label="Chapter5", menu=chapter5Menu)

    chapter9Menu = Menu(menubar, tearoff = 0)
    chapter9Menu.add_command(label="Erosion", command=self.onErosion)
    chapter9Menu.add_command(label="Dilation", command=self.onDilation)
    chapter9Menu.add_command(label="OpeningClosing", command=self.onOpeningClosing)
    chapter9Menu.add_command(label="Boundary", command=self.onBoundary)
    chapter9Menu.add_command(label="HoleFilling", command=self.onHoleFilling)
    chapter9Menu.add_command(label="HoleFillingMouse", command=self.onHoleFillingMouse)
    chapter9Menu.add_command(label="ConnectedComponent", command=self.onConnectedComponent)
    chapter9Menu.add_command(label="CountRice", command=self.onCountRice)

    menubar.add_cascade(label="Chapter9", menu=chapter9Menu)

    self.txt = Text(self)
    self.txt.pack(fill=BOTH, expand=1)

def onOpen(self):
    global ftypes
    ftypes = [('Images', '*.jpg *.tif *.bmp *.gif *.png')]
    dlg = Open(self, filetypes = ftypes)
    fl = dlg.show()

    if fl != '':
        global imgin
        imgin = cv2.imread(fl,cv2.IMREAD_GRAYSCALE)
        # imgin = cv2.imread(fl,cv2.IMREAD_COLOR);
        cv2.namedWindow("ImageIn", cv2.WINDOW_AUTOSIZE)
        cv2.imshow("ImageIn", imgin)

def onOpenColor(self):
    global ftypes
    ftypes = [('Images', '*.jpg *.tif *.bmp *.gif *.png')]
    dlg = Open(self, filetypes = ftypes)
    fl = dlg.show()

    if fl != '':
        global imgin
        imgin = cv2.imread(fl,cv2.IMREAD_COLOR);
        cv2.namedWindow("ImageIn", cv2.WINDOW_AUTOSIZE)
        cv2.imshow("ImageIn", imgin)

def onSave(self):
    dlg = SaveAs(self,filetypes = ftypes);
    fl = dlg.show()
    if fl != '':
        cv2.imwrite(fl,imgout)

def onNegative(self):
    global imgout
    imgout = c3.Negative(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onLogarit(self):
    global imgout
    imgout = c3.Logarit(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onPiecewiseLinear(self):
    global imgout
    imgout = c3.PiecewiseLinear(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onHistogram(self):
    global imgout
    imgout = c3.Histogram(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onHistEqual(self):
    global imgout
    #imgout = c3.HistEqual(imgin)
    imgout = cv2.equalizeHist(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onHistEqualColor(self):
    global imgout
    imgout = c3.HistEqualColor(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onLocalHist(self):
    global imgout
    imgout = c3.LocalHist(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onHistStat(self):
    global imgout
    imgout = c3.HistStat(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onBoxFilter(self):
    global imgout
    #imgout = cv2.boxFilter(imgin, cv2.CV_8UC1, (21,21))
    imgout = cv2.blur(imgin,(21,21))
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onLowpassGauss(self):
    global imgout
    imgout = cv2.GaussianBlur(imgin,(43,43),7.0)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onThreshold(self):
    global imgout
    imgout = c3.Threshold(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onMedianFilter(self):
    global imgout
    #imgout = c3.MedianFilter(imgin)
    imgout = cv2.medianBlur(imgin, 7)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onSharpen(self):
    global imgout
    imgout = c3.Sharpen(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onGradient(self):
    global imgout
    imgout = c3.Gradient(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onSpectrum(self):
    global imgout
    imgout = c4.Spectrum(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onFrequencyFilter(self):
    global imgout
    imgout = c4.FrequencyFilter(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onDrawNotchRejectFilter(self):
    global imgout
    imgout = c4.DrawNotchRejectFilter()
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onRemoveMoire(self):
    global imgout
    imgout = c4.RemoveMoire(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onCreateMotionNoise(self):
    global imgout
    imgout = c5.CreateMotionNoise(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onDenoiseMotion(self):
    global imgout
    imgout = c5.DenoiseMotion(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onDenoisestMotion(self):
    global imgout
    temp = cv2.medianBlur(imgin, 7)
    imgout = c5.DenoiseMotion(temp)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onErosion(self):
    global imgout
    imgout = c9.Erosion(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onDilation(self):
    global imgout
    imgout = c9.Dilation(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onOpeningClosing(self):
    global imgout
    imgout = c9.OpeningClosing(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onBoundary(self):
    global imgout
    imgout = c9.Boundary(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onHoleFilling(self):
    c9.HoleFilling(imgin)
    cv2.namedWindow("ImageIn", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageIn", imgin)

def onMouse(self, event, x, y, flags, param):
    if flags & cv2.EVENT_FLAG_LBUTTON:
        cv2.floodFill(imgin, self.mask, (x,y), (255,255,255))
        cv2.namedWindow("ImageIn", cv2.WINDOW_AUTOSIZE)
        cv2.imshow("ImageIn", imgin)

def onHoleFillingMouse(self):
    M, N = imgin.shape
    self.mask = np.zeros((M+2, N+2), np.uint8)
    cv2.setMouseCallback('ImageIn', self.onMouse)

def onConnectedComponent(self):
    global imgout
    imgout = c9.ConnectedComponent(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

def onCountRice(self):
    global imgout
    imgout = c9.CountRice(imgin)
    cv2.namedWindow("ImageOut", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("ImageOut", imgout)

root = Tk()
Main(root)
root.geometry(“640x480+100+100”)
root.mainloop()

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Debug info

  • Streamlit version: (get it with $ streamlit version)
  • Python version: (get it with $ python --version)
  • Using Conda? PipEnv? PyEnv? Pex?
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Requirements file

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2

Hi @PhaTanVu

It seems you forgot to share with us the problem/error that you had encountered and what you wanted to achieve with the code.

Thanks!

Best regards,
Chanin

3

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