PysimpleGUI学习（一）

python免费好用，但是涉及到界面就比较麻烦了，这点不如matlab好用。最近了解到PysimpleGUI，看了一下教程，简化了很多，对于一般简单应用应该够用了，从今天开始，记录一下学习过程。

图像实时处理显示例程：PySimpleGUI+Opencv（2020.12.13） - 知乎 (zhihu.com)

首先安装环境 pip inatall PySimpleGUI

然后把代码拷贝到文件里，不用修改直接可以运行，电脑得有摄像头可用才行。但是这个例程关闭的时候，仍然会占用摄像头，其它程序就无法在用了，显然这是没有释放摄像头，因为调用摄像头采用的是opencv，就简单查了一下释放摄像头的方法，有人说是cap.release()，但测试后不行。我觉得还是试试比较好，我实在判断关闭程序后，break前加入这个命令，再次运行后关闭，摄像头就释放了。下面代码是我更改过的

import PySimpleGUI as sg
import cv2
import numpy as np

def main():
    sg.theme('LightGreen')

    # define the window layout
    layout = [
      [sg.Text('OpenCV Demo', size=(60, 1), justification='center')],
      [sg.Image(filename='', key='-IMAGE-')],
      [sg.Radio('None', 'Radio', True, size=(10, 1))],
      [sg.Radio('threshold', 'Radio', size=(10, 1), key='-THRESH-'),
       sg.Slider((0, 255), 128, 1, orientation='h', size=(40, 15), key='-THRESH SLIDER-')],
      [sg.Radio('canny', 'Radio', size=(10, 1), key='-CANNY-'),
       sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='-CANNY SLIDER A-'),
       sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='-CANNY SLIDER B-')],
      [sg.Radio('blur', 'Radio', size=(10, 1), key='-BLUR-'),
       sg.Slider((1, 11), 1, 1, orientation='h', size=(40, 15), key='-BLUR SLIDER-')],
      [sg.Radio('hue', 'Radio', size=(10, 1), key='-HUE-'),
       sg.Slider((0, 225), 0, 1, orientation='h', size=(40, 15), key='-HUE SLIDER-')],
      [sg.Radio('enhance', 'Radio', size=(10, 1), key='-ENHANCE-'),
       sg.Slider((1, 255), 128, 1, orientation='h', size=(40, 15), key='-ENHANCE SLIDER-')],
      [sg.Button('Exit', size=(10, 1))]
    ]
    # create the window and show it without the plot
    window = sg.Window('OpenCV Integration', layout, location=(800, 400))
    cap = cv2.VideoCapture(0)
    while True:
        event, values = window.read(timeout=20)
        if event == 'Exit' or event == sg.WIN_CLOSED:
            cap.release()
            break

        ret, frame = cap.read()

        if values['-THRESH-']:
            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)[:, :, 0]
            frame = cv2.threshold(frame, values['-THRESH SLIDER-'], 255, cv2.THRESH_BINARY)[1]
        elif values['-CANNY-']:
            frame = cv2.Canny(frame, values['-CANNY SLIDER A-'], values['-CANNY SLIDER B-'])
        elif values['-BLUR-']:
            frame = cv2.GaussianBlur(frame, (21, 21), values['-BLUR SLIDER-'])
        elif values['-HUE-']:
            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
            frame[:, :, 0] += int(values['-HUE SLIDER-'])
            frame = cv2.cvtColor(frame, cv2.COLOR_HSV2BGR)
        elif values['-ENHANCE-']:
            enh_val = values['-ENHANCE SLIDER-'] / 40
            clahe = cv2.createCLAHE(clipLimit=enh_val, tileGridSize=(8, 8))
            lab = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)
            lab[:, :, 0] = clahe.apply(lab[:, :, 0])
            frame = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)

        imgbytes = cv2.imencode('.png', frame)[1].tobytes()
        window['-IMAGE-'].update(data=imgbytes)

    window.close()


main()