Python PyQt5.QtGui.QImage.Format_RGBA8888() Examples

def toQImage(self, raw_img):
        from numpy import copy
        img = copy(raw_img)
        qformat = QImage.Format_Indexed8
        if len(img.shape) == 3:
            if img.shape[2] == 4:
                qformat = QImage.Format_RGBA8888
            else:
                qformat = QImage.Format_RGB888

        outImg = QImage(img.tobytes(), img.shape[1], img.shape[0], img.strides[0], qformat)
        outImg = outImg.rgbSwapped()
        return outImg 

def displayImage(self, img, qlabel):
        # BGR -> RGB
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        # default：The image is stored using 8-bit indexes into a colormap， for example：a gray image
        qformat = QImage.Format_Indexed8

        if len(img.shape) == 3:  # rows[0], cols[1], channels[2]
            if img.shape[2] == 4:
                # The image is stored using a 32-bit byte-ordered RGBA format (8-8-8-8)
                # A: alpha channel，不透明度参数。如果一个像素的alpha通道数值为0%，那它就是完全透明的
                qformat = QImage.Format_RGBA8888
            else:
                qformat = QImage.Format_RGB888

        # img.shape[1]：图像宽度width，img.shape[0]：图像高度height，img.shape[2]：图像通道数
        # QImage.__init__ (self, bytes data, int width, int height, int bytesPerLine, Format format)
        # 从内存缓冲流获取img数据构造QImage类
        # img.strides[0]：每行的字节数（width*3）,rgb为3，rgba为4
        # strides[0]为最外层(即一个二维数组所占的字节长度)，strides[1]为次外层（即一维数组所占字节长度），strides[2]为最内层（即一个元素所占字节长度）
        # 从里往外看，strides[2]为1个字节长度（uint8），strides[1]为3*1个字节长度（3即rgb 3个通道）
        # strides[0]为width*3个字节长度，width代表一行有几个像素

        outImage = QImage(img, img.shape[1], img.shape[0], img.strides[0], qformat)
        qlabel.setPixmap(QPixmap.fromImage(outImage))
        qlabel.setScaledContents(True)  # 图片自适应大小

    # 报警系统：是否允许设备响铃 

def np_bgra2qimg(cvimg):
    ''' convert cv2 bgr image -> rgb qimg '''
    h,w,c = cvimg.shape
    byte_per_line = w * c #cvimg.step() #* step # NOTE:when image format problem..
    return QImage(cvimg.data, w,h, byte_per_line, 
                  QImage.Format_RGBA8888).rgbSwapped() 

def color_icon2gray_icon(cls, icon: QIcon):
        # TODO: implement for RGB icons
        pixmap = icon.pixmap(icon.availableSizes()[0])
        img_array = cls.Qpixmap2array(pixmap)
        *_, alpha = cv2.split(img_array)
        gray_layer = cv2.cvtColor(img_array, cv2.COLOR_BGR2GRAY)
        gray_img = cv2.merge((gray_layer, gray_layer, gray_layer, alpha))
        height, width, channel = gray_img.shape
        bytesPerLine = 4 * width
        qImg = QImage(gray_img.data, width, height, bytesPerLine, QImage.Format_RGBA8888)
        pixmap = QtGui.QPixmap.fromImage(qImg)
        return QIcon(pixmap) 

def displayImage(self, img):
        # BGR -> RGB
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        # default：The image is stored using 8-bit indexes into a colormap， for example：a gray image
        qformat = QImage.Format_Indexed8

        if len(img.shape) == 3:  # rows[0], cols[1], channels[2]
            if img.shape[2] == 4:
                # The image is stored using a 32-bit byte-ordered RGBA format (8-8-8-8)
                # A: alpha channel，不透明度参数。如果一个像素的alpha通道数值为0%，那它就是完全透明的
                qformat = QImage.Format_RGBA8888
            else:
                qformat = QImage.Format_RGB888

        # img.shape[1]：图像宽度width，img.shape[0]：图像高度height，img.shape[2]：图像通道数
        # QImage.__init__ (self, bytes data, int width, int height, int bytesPerLine, Format format)
        # 从内存缓冲流获取img数据构造QImage类
        # img.strides[0]：每行的字节数（width*3）,rgb为3，rgba为4
        # strides[0]为最外层(即一个二维数组所占的字节长度)，strides[1]为次外层（即一维数组所占字节长度），strides[2]为最内层（即一个元素所占字节长度）
        # 从里往外看，strides[2]为1个字节长度（uint8），strides[1]为3*1个字节长度（3即rgb 3个通道）
        # strides[0]为width*3个字节长度，width代表一行有几个像素

        outImage = QImage(img, img.shape[1], img.shape[0], img.strides[0], qformat)
        self.faceDetectCaptureLabel.setPixmap(QPixmap.fromImage(outImage))
        self.faceDetectCaptureLabel.setScaledContents(True)

    # 初始化数据库 

def toQImage(self, raw_img):
        from numpy import copy
        img = copy(raw_img)
        qformat = QImage.Format_Indexed8
        if len(img.shape) == 3:
            if img.shape[2] == 4:
                qformat = QImage.Format_RGBA8888
            else:
                qformat = QImage.Format_RGB888

        outImg = QImage(img.tobytes(), img.shape[1], img.shape[0], img.strides[0], qformat)
        outImg = outImg.rgbSwapped()
        return outImg