Python Image.flip方法代码示例

# 需要导入模块: from wand.image import Image [as 别名]
# 或者: from wand.image.Image import flip [as 别名]
    def reorient_image(cls, contents):
        try:
            handler = ImageHandler(blob=contents)
        except IOError:
            return contents
        orientation = handler.metadata.get('exif:Orientation')
        if not orientation:
            return contents

        {
            1: lambda: handler,
            2: lambda: handler.flop(),
            3: lambda: handler.rotate(180),
            4: lambda: handler.flip(),
            5: lambda: handler.flip().rotate(90),
            6: lambda: handler.rotate(90),
            7: lambda: handler.flop().rotate(90),
            8: lambda: handler.rotate(270),
        }[int(orientation)]()

        return handler.make_blob()

# 需要导入模块: from wand.image import Image [as 别名]
# 或者: from wand.image.Image import flip [as 别名]
    def autorotate_image(in_path, out_path):
        try:
            metadata = pyexiv2.ImageMetadata(in_path)
            metadata.read()
            orient = int(metadata['Exif.Image.Orientation'].value)
        except:
            logger.warn(
                "Image {0} did not have any EXIF rotation, did not rotate."
                .format(in_path))
            return

        img = Image(filename=in_path)
        if orient == 1:
            logger.info("Image {0} is already rotated.".format(in_path))
            shutil.copyfile(in_path, out_path)
            return
        elif orient == 2:
            img.flip()
        elif orient == 3:
            img.rotate(180)
        elif orient == 4:
            img.flop()
        elif orient == 5:
            img.rotate(90)
            img.flip()
        elif orient == 6:
            img.rotate(90)
        elif orient == 7:
            img.rotate(270)
            img.flip()
        elif orient == 8:
            img.rotate(270)
        img.save(filename=out_path)

# 需要导入模块: from wand.image import Image [as 别名]
# 或者: from wand.image.Image import flip [as 别名]
    def autorotate_image(in_path, out_path):
        """ Rotate an image according to its EXIF orientation tag.

        :param in_path:     Path to image that should be rotated
        :type in_path:      unicode
        :param out_path:    Path where rotated image should be written to
        :type out_path:     unicode
        """
        try:
            metadata = pyexiv2.ImageMetadata(in_path)
            metadata.read()
            orient = int(metadata['Exif.Image.Orientation'].value)
        except:
            logger.warn(
                "Image {0} did not have any EXIF rotation, did not rotate."
                .format(in_path))
            return

        img = Image(filename=in_path)
        if orient == 1:
            logger.info("Image {0} is already rotated.".format(in_path))
            shutil.copyfile(in_path, out_path)
            return
        elif orient == 2:
            img.flip()
        elif orient == 3:
            img.rotate(180)
        elif orient == 4:
            img.flop()
        elif orient == 5:
            img.rotate(90)
            img.flip()
        elif orient == 6:
            img.rotate(90)
        elif orient == 7:
            img.rotate(270)
            img.flip()
        elif orient == 8:
            img.rotate(270)
        img.save(filename=out_path)

# 需要导入模块: from wand.image import Image [as 别名]
# 或者: from wand.image.Image import flip [as 别名]
def process_upload(upload, collection='uploads', image_size=(1280, 720),
                   thumbnail=True):
    """Processes the uploaded images in the posts and also the users avatars.
    This should be extensible in future to support the uploading of videos,
    audio, etc...

    :param _id: The ID for the post, user or anything you want as the filename
    :type _id: str
    :param upload: The uploaded Werkzeug FileStorage object
    :type upload: ``Werkzeug.datastructures.FileStorage``
    :param collection: The GridFS collection to upload the file too.
    :type collection: str
    :param image_size: The max height and width for the upload
    :type image_size: Tuple length 2 of int
    :param thumbnail: Is the image to have it's aspect ration kept?
    :type thumbnail: bool
    """
    try:
        # StringIO to take the uploaded image to transport to GridFS
        output = io.BytesIO()

        # All images are passed through Wand and turned in to PNG files.
        # Unless the image is a GIF and its format is kept
        # Will change if they need thumbnailing or resizing.
        img = Image(file=upload)

        # If the input file if a GIF then we need to know
        gif = True if img.format == 'GIF' else False
        animated_gif = True if gif and len(img.sequence) > 1 else False

        # Check the exif data.
        # If there is an orientation then transform the image so that
        # it is always looking up.
        try:
            exif_data = {
                k[5:]: v
                for k, v in img.metadata.items()
                if k.startswith('exif:')
            }

            orientation = exif_data.get('Orientation')

            orientation = int(orientation)

            if orientation:  # pragma: no branch
                if orientation == 2:
                    img.flop()
                elif orientation == 3:
                    img.rotate(180)
                elif orientation == 4:
                    img.flip()
                elif orientation == 5:
                    img.flip()
                    img.rotate(90)
                elif orientation == 6:
                    img.rotate(90)
                elif orientation == 7:
                    img.flip()
                    img.rotate(270)
                elif orientation == 8:
                    img.rotate(270)

        except (AttributeError, TypeError, AttributeError):
            pass

        if thumbnail:
            # If the GIF was known to be animated then save the animated
            # then cycle through the frames, transforming them and save the
            # output
            if animated_gif:
                animated_image = Image()
                for frame in img.sequence:
                    frame.transform(resize='{0}x{1}>'.format(*image_size))
                    # Directly append the frame to the output image
                    animated_image.sequence.append(frame)

                animated_output = io.BytesIO()
                animated_output.format = 'GIF'
                animated_image.save(file=animated_output)
                animated_output.seek(0)

            img.transform(resize='{0}x{1}>'.format(*image_size))
        else:
            # Just sample the image to the correct size
            img.sample(*image_size)
            # Turn off animated GIF
            animated_gif = False

        img.format = 'PNG'
        uuid = get_uuid()
        filename = '{0}.{1}'.format(uuid, 'png')

        # Return the file pointer to the start
        img.save(file=output)
        output.seek(0)

        # Place file inside GridFS
        m.save_file(filename, output, base=collection)

        animated_filename = ''
#.........这里部分代码省略.........