OpenCV/PythonGUI，在tkinter中顯示openCV影像？

我正在嘗試執行以下操作，但找不到正確的代碼。

圖形界面1：

1. 2 個按鈕，按鈕 1 = 加載地形，按鈕 2 = 查找隕石坑
2. 如果您按下按鈕 1，它將打開檔案資源管理器，您可以選擇一個影像
3. 您選擇的影像將顯示在 GUI 中

開放式簡歷：

1. 它會讀取您選擇的影像
2. 它會找到該影像中的所有圓圈
3. 它將顯示在 python 控制臺中

圖形用戶界面2：

4. 如果您按下按鈕 2，它將在 GUI 中打開（OpenCV）影像

現在我不知道如何在 GUI 中打開（OpenCV）影像。它只打開到 python 控制臺。

我的代碼在下面

import cv2 
import numpy as np 
from matplotlib import pyplot as plt
from tkinter import *
from PIL import ImageTk,Image
from tkinter import filedialog
from tkinter import ttk
import tkinter as tk


root = Tk()
root.title("Armstrong Autonomous Moon Landing System")
root.geometry("1100x600")
root.iconbitmap('C:/Users/brett/')


mb = Menubutton(root, text="Armstrong Autonomouse Moon Lander System")
mb.menu = Menu(mb)
mb["menu"] = mb.menu


##########  ALL OTHER CODE NEEDS TO GO HERE

def openfile():
    return filedialog.askopenfilename()


def open():
    global my_image
    root.filename = filedialog.askopenfilename(initialdir="/test3/images", title="Select A File", filetypes=(("png files", "*.png"),("all files", "*.*")))
    my_label = Label(root, text=root.filename).pack()
    my_image = ImageTk.PhotoImage(Image.open(root.filename))
    my_image_label = Label(image=my_image).pack()
    
def find_craters():
    circles_image = cv2.imread(root.filename)
    if circles_image.shape[-1] == 3: # color image
        b,g,r = cv2.split(circles_image) # get b,g,r
        rgb_img = cv2.merge([r,g,b]) # switch it to rgb
        gray_img = cv2.cvtColor(circles_image, cv2.COLOR_BGR2GRAY)
    else:
        gray_img = circles_image

    img = cv2.medianBlur(gray_img, 5)
    cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)

    circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1,20,
    param1=50,param2=30,minRadius=0,maxRadius=0)

    circles = np.uint16(np.around(circles))

    for i in circles[0,:]:

    # draw the outer circle
        cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)
    
    plt.subplot(122),plt.imshow(cimg)
    plt.show()
    
 ###   HOW RETURN CIRCLES_IMAGE TO TKINTER
    # circles_label = Label(root, text=root.filename).pack()
    # circles_image = ImageTk.PhotoImage(Image.open(cimg))
    # circles_image_label = Label(image=circles_image).pack()
    #circles_img = Label(root, image= cimg).pack()
 
    
    
    # plt.subplot(122),plt.imshow(cimg)
    # plt.show()
  
my_btn = Button(root, text="Load Terrain", command=open).pack()  
my_btn2 = Button(root, text="Find Craters", command=find_craters).pack()
#my_btn3 = Button(root, text="  About Me  ").pack()

mb.pack()

root.mainloop()

我想要一些幫助

杰克遜

uj5u.com熱心網友回復：

您可以使用 ImageTk 枕頭并將其設定為 Tkinter 中的標簽。

import cv2
import PIL
from PIL import ImageTk, Image

'''convert cv2 image to image tkinter to set image to label'''
def cv2_to_imageTK(image):
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGBA)
    imagePIL = PIL.Image.fromarray(image)
    imgtk = ImageTk.PhotoImage(image = imagePIL)
    return imgtk

imgtk = cv2_to_imageTK(img)
label.imgtk = imgtk
label.configure(image = imgtk)

uj5u.com熱心網友回復：

您可以將影像轉換PIL.Image為OpenCV影像，使用影像找到圓圈OpenCV。然后將那些找到的圓圈繪制到OpenCV影像上并轉換回PIL.Image.

import tkinter as tk
from tkinter import filedialog
from PIL import ImageTk, Image
import numpy as np
import cv2


root = tk.Tk()
root.title("Armstrong Autonomous Moon Landing System")
root.geometry("1100x600")
root.iconbitmap('C:/Users/brett/')


##########  ALL OTHER CODE NEEDS TO GO HERE


def open():
    global my_image
    filename = filedialog.askopenfilename(initialdir="images", title="Select A File", filetypes=(("png files", "*.png"),("all files", "*.*")))
    my_label.config(text=filename)
    my_image = Image.open(filename)
    tkimg = ImageTk.PhotoImage(my_image)
    my_image_label.config(image=tkimg)
    my_image_label.image = tkimg  # save a reference of the image


def find_craters():
    # convert PIL image to OpenCV image
    circles_image = np.array(my_image.convert('RGB'))
    gray_img = cv2.cvtColor(circles_image, cv2.COLOR_BGR2GRAY)
    img = cv2.medianBlur(gray_img, 5)

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT, 1, 20,
                               param1=50, param2=30, minRadius=0, maxRadius=0)
    if circles is not None:
        circles = np.uint16(np.around(circles))

        for i in circles[0]:
            # draw the outer circle
            cv2.circle(circles_image, (i[0],i[1]), i[2], (0,255,0), 2)
            # draw the center of the circle
            cv2.circle(circles_image, (i[0],i[1]), 2, (0,0,255), 3)

        # convert OpenCV image back to PIL image
        image = Image.fromarray(circles_image)
        # update shown image
        my_image_label.image.paste(image)


tk.Button(root, text="Load Terrain", command=open).pack()
tk.Button(root, text="Find Craters", command=find_craters).pack()

# for the filename of selected image
my_label = tk.Label(root)
my_label.pack()

# for showing the selected image
my_image_label = tk.Label(root)
my_image_label.pack()

root.mainloop()

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