opencv工具作業(yè)：使用tkinter展示邊緣檢測(cè)
圖片.png
圖片.png
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圖片.png
參考資料
代碼
#!/usr/bin/python3
# -*- coding: utf-8 -*-
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# CreateDate: 2018-12-04
# import the necessary packages
from tkinter import *
from PIL import Image
from PIL import ImageTk
from tkinter import filedialog
import cv2
def select_image():
# grab a reference to the image panels
global panelA, panelB
# open a file chooser dialog and allow the user to select an input
# image
path = filedialog.askopenfilename()
# ensure a file path was selected
if len(path) > 0:
# load the image from disk, convert it to grayscale, and detect
# edges in it
image = cv2.imread(path)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
edged = cv2.Canny(gray, 50, 100)
# OpenCV represents images in BGR order; however PIL represents
# images in RGB order, so we need to swap the channels
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
# convert the images to PIL format...
image = Image.fromarray(image)
edged = Image.fromarray(edged)
# ...and then to ImageTk format
image = ImageTk.PhotoImage(image)
edged = ImageTk.PhotoImage(edged)
# if the panels are None, initialize them
if panelA is None or panelB is None:
# the first panel will store our original image
panelA = Label(image=image)
panelA.image = image
panelA.pack(side="left", padx=10, pady=10)
# while the second panel will store the edge map
panelB = Label(image=edged)
panelB.image = edged
panelB.pack(side="right", padx=10, pady=10)
# otherwise, update the image panels
else:
# update the pannels
panelA.configure(image=image)
panelB.configure(image=edged)
panelA.image = image
panelB.image = edged
# initialize the window toolkit along with the two image panels
root = Tk()
panelA = None
panelB = None
root.title("opencv 邊緣檢測(cè)演示")
# create a button, then when pressed, will trigger a file chooser
# dialog and allow the user to select an input image; then add the
# button the GUI
btn = Button(root, text="選擇圖片", command=select_image)
btn.pack(side="bottom", fill="both", expand="yes", padx="100", pady="100")
# kick off the GUI
root.mainloop()
