Aspose.Imaging for Python via .NET 25.10 - Release notes

Competitive features:

• Extend Exif metadata support for raster image formats

Public API changes:

Added APIs:

Class aspose.imaging.IMetadataContainer

Class aspose.imaging.metadata.IImageMetadataFormat

Class aspose.imaging.metadata.ImageMetadata

Method aspose.imaging.exif.ExifData.ExifData(exif_data)

Method aspose.imaging.fileformats.tiff.TiffFrame.rotate_flip(rotate_flip_type)

Method aspose.imaging.fileformats.webp.WebPImage.get_original_options()

Method aspose.imaging.Image.create(image_options, width, height, pixels)

Method aspose.imaging.Image.try_set_metadata(metadata)

Method aspose.imaging.ImageOptionsBase.try_set_metadata(metadata)

Method aspose.imaging.IMetadataContainer.try_set_metadata(metadata)

Method aspose.imaging.metadata.ImageMetadata.try_set_metadata(metadata)

Method aspose.imaging.RasterImage.auto_rotate()

Property aspose.imaging.exif.ExifData.thumbnail

Property aspose.imaging.Image.exif_data

Property aspose.imaging.Image.metadata

Property aspose.imaging.Image.xmp_data

Property aspose.imaging.ImageOptionsBase.exif_data

Property aspose.imaging.metadata.ImageMetadata.exif_data

Property aspose.imaging.metadata.ImageMetadata.xmp_data

Property aspose.imaging.RasterCachedMultipageImage.metadata

Property aspose.imaging.VectorMultipageImage.metadata

Removed APIs:

Method aspose.imaging.fileformats.jpeg.JpegImage.auto_rotate()

Property aspose.imaging.exif.JpegExifData.thumbnail

Property aspose.imaging.fileformats.apng.ApngImage.xmp_data

Property aspose.imaging.fileformats.gif.GifImage.xmp_data

Property aspose.imaging.fileformats.jpeg.JpegImage.xmp_data

Property aspose.imaging.fileformats.jpeg2000.Jpeg2000Image.xmp_data

Property aspose.imaging.fileformats.png.PngImage.xmp_data

Property aspose.imaging.fileformats.svg.SvgImage.xmp_data

Property aspose.imaging.fileformats.tiff.TiffFrame.exif_data

Property aspose.imaging.fileformats.tiff.TiffFrame.xmp_data

Property aspose.imaging.fileformats.tiff.TiffImage.exif_data

Property aspose.imaging.RasterCachedMultipageImage.xmp_data

Property aspose.imaging.RasterImage.xmp_data

Usage Examples:

IMAGINGPYTHONNET-432 Reduce memory on decoding Tiff and speed up Tiff Lzw compressed saving

from aspose.imaging import Image, Graphics, Font, Color
from aspose.imaging.brushes import SolidBrush
from aspose.imaging.imageoptions import TiffOptions
from aspose.imaging.fileformats.enums import TiffExpectedFormat

def convert_to_tiff(input_path):
	with Image.load(input_path) as image:
		graphics = Graphics(image)
		graphics.draw_string(
			"Your text",
			new Font("Arial", 16),
			new SolidBrush(Color.black),
			image.width // 2,
			image.height // 2)

        image.save(input_path + ".tiff", TiffOptions(TiffExpectedFormat.TIFF_LZW_RGB))

**IMAGINGPYTHONNET-431 Gif:Incorrect inflate resize. **

from aspose.imaging import Image, ResizeType
from aspose.imaging.fileformats.gif import GifImage
from aspose.pycore import as_of

with as_of(Image.load("test.gif"), GifImage) as image:
    image.resize_full_frame(2000, 2000, ResizeType.HIGH_QUALITY_RESAMPLE)
    image.save("test_out.gif")

IMAGINGPYTHONNET-430 Add a method to create an image from existing pixels data

from aspose.imaging import Image, RasterImage, Color
from aspose.imaging.fileformats.png import PngColorType
from aspose.imaging.imageoptions import PngOptions
from aspose.pycore import as_of
import random


image_width = 100
image_height = 100

color_argb32 = Color.yellow.to_argb()
source_array = [color_argb32] * (image_width * image_height)

png_options = PngOptions()
png_options.color_type = PngColorType.TRUECOLOR_WITH_ALPHA

with as_of(Image.create(png_options, image_width, image_height, source_array), RasterImage) as image:
    pixels = image.load_argb_32_pixels(image.bounds)
    random_index = random.randint(0, len(pixels)-1)
    print(f"Random pixel image color is {pixels[random_index]}. Original Color value is {color_argb32}")

IMAGINGPYTHONNET-429 Cannot open the Tiff image (NRE)

Try to load corrupted Tiff file:
from aspose.imaging import Image, LoadOptions, DataRecoveryMode

input_path = "LTCAMEX134567797 (9).tiff"
load_options = LoadOptions()
load_options.data_recovery_mode = DataRecoveryMode.CONSISTENT_RECOVER
with Image.load(input_path, load_options) as image:
    # No exceptions
    pass