import cv2
import numpy as np
def createWindow():
    #讀取圖片
    img=cv2.imread('images/1 (1).jpg')
    #創(chuàng)建窗口 flags=WINDOW_NORMAL表示可以改變窗口大小
    cv2.namedWindow(winname='window',flags=cv2.WINDOW_NORMAL)
    #縮放窗口的大小
    cv2.resizeWindow(winname='window',width=300,height=200)
    #顯示窗口
    cv2.imshow('window',img)
    #獲取鼠標或者鍵值
    key=cv2.waitKey(0)
    if (key&0XFF==ord('Q')):
        cv2.destroyAllWindows()
         #銷毀所有的窗口
if __name__ == '__main__':
    print('PyCharm')
    createWindow()

2.保存圖片

import cv2
import numpy as np
def createWindow():
    #讀取圖片
    img=cv2.imread('images/1 (1).jpg')
    #創(chuàng)建窗口 flags=WINDOW_NORMAL表示可以改變窗口大小
    cv2.namedWindow(winname='window',flags=cv2.WINDOW_NORMAL)
    #縮放窗口的大小
    cv2.resizeWindow(winname='window',width=300,height=200)
    while True:
        #顯示窗口
        cv2.imshow('window',img)
        #獲取鼠標或者鍵值
        key=cv2.waitKey(0)
        if (key&0XFF==ord('Q')):
            break
        elif (key&0xFF==ord('s')):
            # 保存圖片
            # name-保存的文件名 img-保存的圖片
            cv2.imwrite('save_pic.png', img)
            break
    cv2.destroyAllWindows()
    #銷毀所有的窗口
if __name__ == '__main__':
    print('PyCharm')
    createWindow()

3.采集視頻

import os
import cv2
import numpy as np
def CollectVideo():
    #創(chuàng)建窗口
    cv2.namedWindow(winname='window',flags=cv2.WINDOW_AUTOSIZE)
    cv2.resizeWindow(winname='window',width=450,height=300)
    #打開攝像頭
    cap=cv2.VideoCapture(0)
    fourcc = cv2.VideoWriter_fourcc(*'MJPG')
    #獲取窗口大小
    size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
    # 輸出文件 多媒體文件格式 視頻幀率  分辨率大小
    vw = cv2.VideoWriter('video.avi', fourcc, 25, size)
    while cap.isOpened():
        #從攝像頭讀取視頻幀
        OK,frame=cap.read()
        if OK:
            #顯示攝像頭畫面
            cv2.imshow('window',frame)
            cv2.resizeWindow(winname='window', width=450, height=300)
            #將從攝像頭采集的視頻幀寫入文件
            vw.write(frame)
        #從鼠標和鍵盤獲取鍵值,按下ESC鍵退出
        if cv2.waitKey(1)&0xFF==27:
            break
    #釋放資源
    cap.release()
    vw.release()
    #銷毀所有的窗口
    cv2.destroyAllWindows()
if __name__ == '__main__':
    print('Pycharm')
    CollectVideo()

4.鼠標控制

#回調(diào)函數(shù)參數(shù)解釋
#event：鼠標移動，按下左鍵；
#（x,y)：鼠標坐標
#flags：鼠標鍵及組合鍵
import cv2
import numpy as np

#回調(diào)函數(shù)定義
def mouse_callback(event,x,y,flags,userdata):
    print(event,x,y,flags,userdata)


#創(chuàng)建窗口
cv2.namedWindow(winname='mouse',flags=cv2.WINDOW_NORMAL)
cv2.resizeWindow(winname='mouse',width=450,height=300)
#給“mouse”窗口設(shè)置回調(diào)函數(shù)
cv2.setMouseCallback('mouse',mouse_callback,'123')

img=np.zeros(shape=(300,450,3),dtype=np.uint8)
while True:
    cv2.imshow('mouse',img)
    #按下ESC鍵退出
    if cv2.waitKey(1)&0xFF==27:
        break
cv2.destroyAllWindows()
if __name__ == '__main__':
    print('pycharm')

5.TrackBar組件

import os
import cv2
import numpy as np
cv2.namedWindow(winname='trackbar',flags=cv2.WINDOW_NORMAL)
cv2.resizeWindow(winname='trackbar',width=450,height=300)
#獲取TrackBar的值
def TrackBarValue():
    #獲取窗口“window”下子窗口“R”的值
    value_R=  cv2.getTrackbarPos(trackbarname='R', winname='trackbar')
    value_G = cv2.getTrackbarPos(trackbarname='G', winname='trackbar')
    value_B = cv2.getTrackbarPos(trackbarname='B', winname='trackbar')
    return value_R,value_G,value_B
def callback():
    pass
#定義TrackBar函數(shù)
def TrackBarBGR():
    #value-trackbar的值 count-設(shè)置的最大值count（最小值為0） OnChange-回調(diào)函數(shù)
    cv2.createTrackbar('R','trackbar',  0, 255, callback)
    cv2.createTrackbar('G','trackbar',  0, 255, callback)
    cv2.createTrackbar('B','trackbar', 0, 255, callback)
img=np.zeros(shape=(450,300,3),dtype=np.uint8)
#創(chuàng)建trackbar組件
TrackBarBGR()
while True:
    #獲取trackbar的值
    R,G,B=TrackBarValue()
    img[:]=[B,G,R]
    #獲取值之后改變背景的顏色
    cv2.imshow('trackbar', img)
    #按下ESC鍵退出
    if cv2.waitKey(1)&0xFF==27:
        break
cv2.destroyAllWindows()
if __name__ == '__main__':
    print('Pycharm')