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ubuntu20:pyqt5 截屏,图片识别文字

前置条件

ubuntu 20.04 安装pyqt5


import sys
sys.path.append("/home/wargame/.local/lib/python3.8/site-packages")

from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *


class WScreenShot(QWidget):
    def __init__(self, parent=None):
        super(WScreenShot, self).__init__(parent)
        self.setWindowFlags(Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint)
        self.setStyleSheet('''background-color:black; ''')
        self.setWindowOpacity(0.4)
        # 1 透明度的有效范围从1.0 完全不透明到0.0 完全透明
        # 2 默认情况下是不透明状态,属性值为1.0

        desktopRect = QDesktopWidget().screenGeometry()
        # 获取屏幕的信息
        # screenGeometry()函数提供有关可用屏幕几何的信息
        self.setGeometry(desktopRect)
        # setGeometry (9,9, 50, 25)
        # 从屏幕上(9,9)位置开始(即为最左上角的点),显示一个50*25的界面(宽50,高25)
        # setGeometry之后一定要调用show函数,否则可能看不到控件存在
        self.setCursor(Qt.ArrowCursor)  # 设置鼠标形状

        self.blackMask = QBitmap(desktopRect.size())
        self.blackMask.fill(Qt.black)
        self.mask = self.blackMask.copy()


        self.isDrawing = False
        self.startPoint = QPoint()
        self.endPoint = QPoint()
        self.setMouseTracking(False)
        self.startX, self.startY = 0, 0  # the point where you start
        self.endX, self.endY = 0, 0  # the point where you end

    def paintEvent(self, event):
        if self.isDrawing:
            self.mask = self.blackMask.copy()
            pp = QPainter(self.mask)
            pen = QPen()
            pen.setStyle(Qt.NoPen)
            pp.setPen(pen)
            brush = QBrush(Qt.white)
            pp.setBrush(brush)
            pp.drawRect(QRect(self.startPoint, self.endPoint))  # 画图
            self.setMask(QBitmap(self.mask))

    def mousePressEvent(self, event):
        if event.button() == Qt.LeftButton:
            self.startPoint = event.pos()
            self.startX, self.startY = event.x(), event.y()
            # print("mousepress: ", self.startPoint)
            self.endPoint = self.startPoint
            self.isDrawing = True

    def mouseMoveEvent(self, event):
        if self.isDrawing:
            self.endPoint = event.pos()
            self.endX, self.endY = event.x(), event.y()
            self.update()

    def mouseReleaseEvent(self, event):
        if event.button() == Qt.LeftButton:
            self.endPoint = event.pos()
            # print("mouse release: ", self.endPoint)
            # PySide2
            # screenshot = QPixmap.grabWindow(QApplication.desktop().winId())
            # PyQt5
            # screenshot = QApplication.primaryScreen().grabWindow(0)
            # 通用
            screenshot = QApplication.primaryScreen().grabWindow(QApplication.desktop().winId())
            # rect = QRect(self.startPoint, self.endPoint)
            rect = QRect(self.startX, self.startY + 28, self.endX-self.startX, self.endY-self.startY)
            # print("last rect:", rect)
            outputRegion = screenshot.copy(rect)
            outputRegion.save('111.jpg', format='JPG', quality=100)
            # print("ok")
            self.close()


def screenshot():
    app = QApplication(sys.argv)
    win = WScreenShot()
    win.show()
    app.exec_()


if __name__ == '__main__':
    screenshot()

添加快捷键执行,执行完毕后会在家目录下生成一个固定名字的jpg图片

对该图片进行识别

tesseract-ocr 安装

cnocr

这个效果比较好

from cnocr import CnOcr
ocr = CnOcr()
res = ocr.ocr('111.jpg')
print("Predicted Chars:", res)

预测后直接将预测结果复制到剪贴板,可以直接使用, 或者调用驱动浏览器搜索

注意:
pyqt5 代码来源于网络,获取鼠标的位置不准确,手动调整了参数,需要熟悉qt5 后更新, 完善后可以生成可执行文件后使用

posted @ 2021-01-27 09:48  Lust4Life  阅读(573)  评论(0编辑  收藏  举报