使用Python实现屏幕截图的两种方法

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

# 下面的数字分别代表：左上角横向坐标，左上角纵向坐标，截取图像的宽度，截取图像的高度；
img = pyautogui.screenshot(region=[0, 0, 1902, 1080])
# 将获取的图像转换成二维矩阵形式，然后再将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
img = cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)

cv2.imshow("截屏", img)
cv2.waitKey(0)

import win32gui

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


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)

import win32gui

# GetDesktopWindow 获得代表整个屏幕的一个窗口（桌面窗口）句柄
hd = win32gui.GetDesktopWindow()

# 获取所有子窗口
hwndChildList = []

win32gui.EnumChildWindows(hd, lambda hwnd, param: param.append(hwnd), hwndChildList)

for hwnd in hwndChildList:
    print("句柄：", hwnd, "标题：", win32gui.GetWindowText(hwnd))
    # f.write("句柄：" + str(hwnd) + " 标题：" + win32gui.GetWindowText(hwnd) + '\n')

import sys
import win32gui
from PyQt5.QtWidgets import QApplication
# 这个是全屏窗口
hwnd = win32gui.FindWindow(None, 'C:/Windows/system32/cmd.exe')
# 这个是指定程序
# hwnd = win32gui.FindWindow(None, win32gui.GetWindowText(3212524))
app = QApplication(sys.argv)
screen = QApplication.primaryScreen()
img = screen.grabWindow(hwnd).toImage()
img.save(r"C:\Users\SUNxRUN\Desktop\screenshot.jpg")
# 前置窗口 win32gui.SetForegroundWindow(hwnd)

import win32gui
import cv2
import numpy as np
from PIL import ImageGrab  # 操作图像
hwnd = win32gui.FindWindow(None, 'QQMail - Inbox - 360极速浏览器X 21.0')#第二个参数需要用二、a、那个程序运行来获得
while True:
    x_start, y_start, x_end, y_end = win32gui.GetWindowRect(hwnd)
    # 坐标信息
    box = (x_start, y_start, x_end, y_end)
    image = ImageGrab.grab(box)
    img=cv2.cvtColor(np.asarray(image),cv2.COLOR_RGB2BGR)
    cv2.imshow('Img',img)
    cv2.waitKey(1)