Python QImage.Format_Indexed8方法代码示例

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def array_to_qimage(im: np.ndarray, copy=False):
        gray_color_table = [qRgb(i, i, i) for i in range(256)]
        if im is None:
            return QImage()
        if im.dtype == np.uint8:
            if len(im.shape) == 2:
                qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_Indexed8)
                qim.setColorTable(gray_color_table)
                return qim.copy() if copy else qim

            elif len(im.shape) == 3:
                if im.shape[2] == 3:
                    qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_RGB888);
                    return qim.copy() if copy else qim
                elif im.shape[2] == 4:
                    qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_ARGB32);
                    return qim.copy() if copy else qim 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
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 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
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 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def _toqclass_helper(im):
    data = None
    colortable = None

    # handle filename, if given instead of image name
    if hasattr(im, "toUtf8"):
        # FIXME - is this really the best way to do this?
        im = str(im.toUtf8(), "utf-8")
    if isPath(im):
        im = Image.open(im)

    if im.mode == "1":
        format = QImage.Format_Mono
    elif im.mode == "L":
        format = QImage.Format_Indexed8
        colortable = []
        for i in range(256):
            colortable.append(rgb(i, i, i))
    elif im.mode == "P":
        format = QImage.Format_Indexed8
        colortable = []
        palette = im.getpalette()
        for i in range(0, len(palette), 3):
            colortable.append(rgb(*palette[i : i + 3]))
    elif im.mode == "RGB":
        data = im.tobytes("raw", "BGRX")
        format = QImage.Format_RGB32
    elif im.mode == "RGBA":
        try:
            data = im.tobytes("raw", "BGRA")
        except SystemError:
            # workaround for earlier versions
            r, g, b, a = im.split()
            im = Image.merge("RGBA", (b, g, r, a))
        format = QImage.Format_ARGB32
    else:
        raise ValueError("unsupported image mode %r" % im.mode)

    __data = data or align8to32(im.tobytes(), im.size[0], im.mode)
    return {"data": __data, "im": im, "format": format, "colortable": colortable} 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
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 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def _numpy2qimage(self, im_ori):
        return QImage(im_ori.data, im_ori.shape[1], im_ori.shape[0],
                      im_ori.data.strides[0], QImage.Format_Indexed8) 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def _toqclass_helper(im):
    data = None
    colortable = None

    # handle filename, if given instead of image name
    if hasattr(im, "toUtf8"):
        # FIXME - is this really the best way to do this?
        if py3:
            im = str(im.toUtf8(), "utf-8")
        else:
            im = unicode(im.toUtf8(), "utf-8")
    if isPath(im):
        im = Image.open(im)

    if im.mode == "1":
        format = QImage.Format_Mono
    elif im.mode == "L":
        format = QImage.Format_Indexed8
        colortable = []
        for i in range(256):
            colortable.append(rgb(i, i, i))
    elif im.mode == "P":
        format = QImage.Format_Indexed8
        colortable = []
        palette = im.getpalette()
        for i in range(0, len(palette), 3):
            colortable.append(rgb(*palette[i:i+3]))
    elif im.mode == "RGB":
        data = im.tobytes("raw", "BGRX")
        format = QImage.Format_RGB32
    elif im.mode == "RGBA":
        try:
            data = im.tobytes("raw", "BGRA")
        except SystemError:
            # workaround for earlier versions
            r, g, b, a = im.split()
            im = Image.merge("RGBA", (b, g, r, a))
        format = QImage.Format_ARGB32
    else:
        raise ValueError("unsupported image mode %r" % im.mode)

    __data = data or align8to32(im.tobytes(), im.size[0], im.mode)
    return {
        'data': __data, 'im': im, 'format': format, 'colortable': colortable
    } 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def _toqclass_helper(im):
    data = None
    colortable = None

    # handle filename, if given instead of image name
    if hasattr(im, "toUtf8"):
        # FIXME - is this really the best way to do this?
        if py3:
            im = str(im.toUtf8(), "utf-8")
        else:
            im = unicode(im.toUtf8(), "utf-8")  # noqa: F821
    if isPath(im):
        im = Image.open(im)

    if im.mode == "1":
        format = QImage.Format_Mono
    elif im.mode == "L":
        format = QImage.Format_Indexed8
        colortable = []
        for i in range(256):
            colortable.append(rgb(i, i, i))
    elif im.mode == "P":
        format = QImage.Format_Indexed8
        colortable = []
        palette = im.getpalette()
        for i in range(0, len(palette), 3):
            colortable.append(rgb(*palette[i:i+3]))
    elif im.mode == "RGB":
        data = im.tobytes("raw", "BGRX")
        format = QImage.Format_RGB32
    elif im.mode == "RGBA":
        try:
            data = im.tobytes("raw", "BGRA")
        except SystemError:
            # workaround for earlier versions
            r, g, b, a = im.split()
            im = Image.merge("RGBA", (b, g, r, a))
        format = QImage.Format_ARGB32
    else:
        raise ValueError("unsupported image mode %r" % im.mode)

    __data = data or align8to32(im.tobytes(), im.size[0], im.mode)
    return {
        'data': __data, 'im': im, 'format': format, 'colortable': colortable
    } 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def drawThreshMask(self, worm_img, worm_qimg, row_data, read_center=True):
        #in very old versions of the tracker I didn't save the area in trajectories table, 
        #let's assign a default value to deal with this cases
        if 'area' in row_data:
            min_blob_area = row_data['area'] / 2
        else:
            min_blob_area = 10
        
        c1, c2 = (row_data['coord_x'], row_data[
                  'coord_y']) if read_center else (-1, -1)

        worm_mask, worm_cnt, _ = getWormMask(worm_img, row_data['threshold'], strel_size=self.strel_size,
                                      roi_center_x=c1, roi_center_y=c2, min_blob_area=min_blob_area,
                                      is_light_background = self.is_light_background)

        
        worm_mask = QImage(
            worm_mask.data,
            worm_mask.shape[1],
            worm_mask.shape[0],
            worm_mask.strides[0],
            QImage.Format_Indexed8)
        worm_mask = worm_mask.convertToFormat(
            QImage.Format_RGB32, Qt.AutoColor)
        worm_mask = QPixmap.fromImage(worm_mask)

        worm_mask = worm_mask.createMaskFromColor(Qt.black)
        p = QPainter(worm_qimg)
        p.setPen(QColor(0, 204, 102))
        p.drawPixmap(worm_qimg.rect(), worm_mask, worm_mask.rect())
        
        if False:
            #test skeletonization
            skeleton, ske_len, cnt_side1, cnt_side2, cnt_widths, cnt_area = \
                getSkeleton(worm_cnt, np.zeros(0), 49)
            for cnt in skeleton, cnt_side1, cnt_side2:
                p.setPen(Qt.black)
                polyline = QPolygonF()
                for point in cnt:
                    polyline.append(QPointF(*point))
                p.drawPolyline(polyline)

        p.end() 

# 需要导入模块: from PyQt5.QtGui import QImage [as 别名]
# 或者: from PyQt5.QtGui.QImage import Format_Indexed8 [as 别名]
def _toqclass_helper(im):
    data = None
    colortable = None

    # handle filename, if given instead of image name
    if hasattr(im, "toUtf8"):
        # FIXME - is this really the best way to do this?
        if str is bytes:
            im = unicode(im.toUtf8(), "utf-8")
        else:
            im = str(im.toUtf8(), "utf-8")
    if isPath(im):
        im = Image.open(im)

    if im.mode == "1":
        format = QImage.Format_Mono
    elif im.mode == "L":
        format = QImage.Format_Indexed8
        colortable = []
        for i in range(256):
            colortable.append(rgb(i, i, i))
    elif im.mode == "P":
        format = QImage.Format_Indexed8
        colortable = []
        palette = im.getpalette()
        for i in range(0, len(palette), 3):
            colortable.append(rgb(*palette[i:i+3]))
    elif im.mode == "RGB":
        data = im.tobytes("raw", "BGRX")
        format = QImage.Format_RGB32
    elif im.mode == "RGBA":
        try:
            data = im.tobytes("raw", "BGRA")
        except SystemError:
            # workaround for earlier versions
            r, g, b, a = im.split()
            im = Image.merge("RGBA", (b, g, r, a))
        format = QImage.Format_ARGB32
    else:
        raise ValueError("unsupported image mode %r" % im.mode)

    __data = data or align8to32(im.tobytes(), im.size[0], im.mode)
    return {
        'data': __data, 'im': im, 'format': format, 'colortable': colortable
    }