python人工智能opencv工具作业：使用tkinter展示

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opencv工具作业：使用tkinter展示边缘检测

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代码

#!/usr/bin/python3
# -*- coding: utf-8 -*-
# 技术支持：https://www.jianshu.com/u/69f40328d4f0 
# 技术支持 https://china-testing.github.io/
# https://github.com/china-testing/python-api-tesing/blob/master/practices/cv/cv1.py
# 项目实战讨论QQ群630011153 144081101
# 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 边缘检测演示")  

# 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="选择图片", command=select_image)
btn.pack(side="bottom", fill="both", expand="yes", padx="100", pady="100")

# kick off the GUI
root.mainloop()