Python ImageFile.Parser方法代碼示例

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def response(self, response, request, data):
        try:
            isImage = getattr(request, 'isImage')
        except AttributeError:
            isImage = False
        
        if isImage:
            try:
                #For some reason more images get parsed using the parser
                #rather than a file...PIL still needs some work I guess
                p = ImageFile.Parser()
                p.feed(data)
                im = p.close()
                im = im.transpose(Image.ROTATE_180)
                output = StringIO()
                im.save(output, format=self.imageType)
                data = output.getvalue()
                output.close()
                self.clientlog.info("Flipped image", extra=request.clientInfo)
            except Exception as e:
                self.clientlog.info("Error: {}".format(e), extra=request.clientInfo)
        
        return {'response': response, 'request': request, 'data': data} 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def test_parser_feed(self):
        # Arrange
        from PIL import ImageFile
        with open('Tests/images/test-card-lossless.jp2', 'rb') as f:
            data = f.read()

        # Act
        p = ImageFile.Parser()
        p.feed(data)

        # Assert
        self.assertEqual(p.image.size, (640, 480)) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def test_ico(self):
        with open('Tests/images/python.ico', 'rb') as f:
            data = f.read()
        with ImageFile.Parser() as p:
            p.feed(data)
            self.assertEqual((48, 48), p.image.size) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def test_raise_typeerror(self):
        with self.assertRaises(TypeError):
            parser = ImageFile.Parser()
            parser.feed(1) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def get_image_dimensions(file_or_path, close=False):
    """
    Returns the (width, height) of an image, given an open file or a path.  Set
    'close' to True to close the file at the end if it is initially in an open
    state.
    """
    # Try to import PIL in either of the two ways it can end up installed.
    try:
        from PIL import ImageFile as PILImageFile
    except ImportError:
        import ImageFile as PILImageFile

    p = PILImageFile.Parser()
    if hasattr(file_or_path, 'read'):
        file = file_or_path
        file_pos = file.tell()
        file.seek(0)
    else:
        file = open(file_or_path, 'rb')
        close = True
    try:
        # Most of the time PIL only needs a small chunk to parse the image and
        # get the dimensions, but with some TIFF files PIL needs to parse the
        # whole file.
        chunk_size = 1024
        while 1:
            data = file.read(chunk_size)
            if not data:
                break
            p.feed(data)
            if p.image:
                return p.image.size
            chunk_size = chunk_size*2
        return None
    finally:
        if close:
            file.close()
        else:
            file.seek(file_pos) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def get_image_dimensions(file_or_path, close=False):
    """
    Returns the (width, height) of an image, given an open file or a path.  Set
    'close' to True to close the file at the end if it is initially in an open
    state.
    """
    # Try to import PIL in either of the two ways it can end up installed.
    try:
        from PIL import ImageFile as PILImageFile
    except ImportError:
        import ImageFile as PILImageFile

    p = PILImageFile.Parser()
    if hasattr(file_or_path, 'read'):
        file = file_or_path
        file_pos = file.tell()
        file.seek(0)
    else:
        file = open(file_or_path, 'rb')
        close = True
    try:
        while 1:
            data = file.read(1024)
            if not data:
                break
            p.feed(data)
            if p.image:
                return p.image.size
        return None
    finally:
        if close:
            file.close()
        else:
            file.seek(file_pos) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def getsizes(subject):

    # if it already exists just return it back
    try:
        return None, (subject['imsize_x_pix'], subject['imsize_y_pix'])
    except:
        try:
            return None, (subject[1]['meta_json']['imsize_x_pix'], subject[1]['meta_json']['imsize_y_pix'])
        except:
            #print("You shouldn't be here")
            uri = subject[1]['loc_im0']
            # get file size *and* image size (None if not known)
            file = urllib.request.urlopen(uri)
            size = file.headers.get("content-length")
            if size:
                size = int(size)
            p = ImageFile.Parser()
            while True:
                data = file.read(1024)
                if not data:
                    break
                p.feed(data)
                if p.image:
                    return size, p.image.size
                    break
            file.close()
            return size, None 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def get_image_dimensions(file_or_path, close=False):
    """
    Returns the (width, height) of an image, given an open file or a path.  Set
    'close' to True to close the file at the end if it is initially in an open
    state.
    """
    from PIL import ImageFile as PillowImageFile

    p = PillowImageFile.Parser()
    if hasattr(file_or_path, 'read'):
        file = file_or_path
        file_pos = file.tell()
        file.seek(0)
    else:
        file = open(file_or_path, 'rb')
        close = True
    try:
        # Most of the time Pillow only needs a small chunk to parse the image
        # and get the dimensions, but with some TIFF files Pillow needs to
        # parse the whole file.
        chunk_size = 1024
        while 1:
            data = file.read(chunk_size)
            if not data:
                break
            try:
                p.feed(data)
            except zlib.error as e:
                # ignore zlib complaining on truncated stream, just feed more
                # data to parser (ticket #19457).
                if e.args[0].startswith("Error -5"):
                    pass
                else:
                    raise
            if p.image:
                return p.image.size
            chunk_size *= 2
        return None
    finally:
        if close:
            file.close()
        else:
            file.seek(file_pos) 

# 需要導入模塊: from PIL import ImageFile [as 別名]
# 或者: from PIL.ImageFile import Parser [as 別名]
def test_parser(self):

        def roundtrip(format):

            im = hopper("L").resize((1000, 1000))
            if format in ("MSP", "XBM"):
                im = im.convert("1")

            test_file = BytesIO()

            im.copy().save(test_file, format)

            data = test_file.getvalue()

            parser = ImageFile.Parser()
            parser.feed(data)
            imOut = parser.close()

            return im, imOut

        self.assert_image_equal(*roundtrip("BMP"))
        im1, im2 = roundtrip("GIF")
        self.assert_image_similar(im1.convert('P'), im2, 1)
        self.assert_image_equal(*roundtrip("IM"))
        self.assert_image_equal(*roundtrip("MSP"))
        if "zip_encoder" in codecs:
            try:
                # force multiple blocks in PNG driver
                ImageFile.MAXBLOCK = 8192
                self.assert_image_equal(*roundtrip("PNG"))
            finally:
                ImageFile.MAXBLOCK = MAXBLOCK
        self.assert_image_equal(*roundtrip("PPM"))
        self.assert_image_equal(*roundtrip("TIFF"))
        self.assert_image_equal(*roundtrip("XBM"))
        self.assert_image_equal(*roundtrip("TGA"))
        self.assert_image_equal(*roundtrip("PCX"))

        if EpsImagePlugin.has_ghostscript():
            im1, im2 = roundtrip("EPS")
            # This test fails on Ubuntu 12.04, PPC (Bigendian) It
            # appears to be a ghostscript 9.05 bug, since the
            # ghostscript rendering is wonky and the file is identical
            # to that written on ubuntu 12.04 x64
            # md5sum: ba974835ff2d6f3f2fd0053a23521d4a

            # EPS comes back in RGB:
            self.assert_image_similar(im1, im2.convert('L'), 20)

        if "jpeg_encoder" in codecs:
            im1, im2 = roundtrip("JPEG")  # lossy compression
            self.assert_image(im1, im2.mode, im2.size)

        self.assertRaises(IOError, roundtrip, "PDF")