用Python实现屏幕截图详解

pip install pyautogui -i https://pypi.tuna.tsinghua.edu.cn/simple/

pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple/

pip install PyQt5 -i https://pypi.tuna.tsinghua.edu.cn/simple/

pip install pypiwin32 -i https://pypi.tuna.tsinghua.edu.cn/simple/

import pyautogui
import cv2
import numpy as np

img = pyautogui.screenshot(region=[300,50, 200, 100])  # 分别代表：左上角坐标，宽高
#对获取的图片转换成二维矩阵形式，后再将RGB转成BGR
#因为imshow,默认通道顺序是BGR，而pyautogui默认是RGB所以要转换一下，不然会有点问题
img = cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)

cv2.imshow("截屏",img)
cv2.waitKey(0)

import win32gui

hwnd_title = dict() #创建字典保存窗口的句柄与名称映射关系


def get_all_hwnd(hwnd, mouse):
    if win32gui.IsWindow(hwnd) and win32gui.IsWindowEnabled(hwnd) and win32gui.IsWindowVisible(hwnd):
        hwnd_title.update({hwnd: win32gui.GetWindowText(hwnd)})

win32gui.EnumWindows(get_all_hwnd, 0)

for h, t in hwnd_title.items():
    if t!= "":
        print(h, t)

from PyQt5.QtWidgets import QApplication
import win32gui
import sys
#这个是截取全屏的
hwnd = win32gui.FindWindow(None, 'C:/Windows/system32/cmd.exe')
app = QApplication(sys.argv)
screen = QApplication.primaryScreen()
img = screen.grabWindow(hwnd).toImage()
img.save("screenshot.jpg")

def convertQImageToMat(incomingImage):
    '''  Converts a QImage into an opencv MAT format  '''
    # Format_RGB32 = 4,存入格式为B,G,R,A 对应 0,1,2,3
    # RGB32图像每个像素用32比特位表示，占4个字节，
    # R，G，B分量分别用8个bit表示，存储顺序为B，G，R，最后8个字节保留
    incomingImage = incomingImage.convertToFormat(4)
    width = incomingImage.width()
    height = incomingImage.height()

    ptr = incomingImage.bits()
    ptr.setsize(incomingImage.byteCount())
    arr = np.array(ptr).reshape(height, width, 4)  # Copies the data
    # arr为BGRA，4通道图片
    return arr

from PyQt5.QtWidgets import QApplication
import win32gui
import sys
import cv2
import numpy as np
hwnd = win32gui.FindWindow(None, '剑士之魂中文版小游戏,在线玩,4399小游戏 - 360安全浏览器 13.1')
app = QApplication(sys.argv)
screen = QApplication.primaryScreen()
img = screen.grabWindow(hwnd).toImage()

img=convertQImageToMat(img)#将获取的图像从QImage转换为RBG格式
cv2.imshow("asd",img)      #imshow
cv2.waitKey(0)