Aspose.Imaging for Python via .NET is Another Python Imaging Library. It allows developers to easily create, load, manipulate, convert, compress images or photos using this API.
Project description
Imaging Manipulation API
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Aspose.Imaging for Python via .NET is Another Python Imaging Library offering advanced image processing features. You could easily create, load, manipulate, convert, compress images or photos using this API. Also Aspose.Imaging library supports drawing and work with graphic primitives. Image export and conversion (including uniform multi-page image processing) is the one of API core features along with image transformations (resize, crop, flip&rotate, binarization, grayscale, adjust, etc.), advanced image manipulation features (filtering, dithering, masking, deskewing) and memory optimization strategies.
Aspose.Imaging for Python via .NET is a flexible, stable and powerful API, capable of processing the most commonly used formats along with some special formats such as DjVu, DICOM, WebP & DNG. Moreover, it extends the native support for image formats & processing functions for .NET and .NET Core. Aspose.Imaging is cross-platform library, it is Windows x32/x64, Linux x64, and MacOS x64/Arm64 compatible.
Aspose.Imaging for Python requires you to use python programming language. For Java and .NET languages, we recommend you get Aspose.Imaging for Java and Aspose.Imaging for .NET, respectively.
Product Features
The following are Aspose.Imaging’s core features:
- Create images (raster, vector)
- Read images (raster, vector)
- Write images (raster, vector)
- Draw lines, circles, ellipses, texts, complex paths, and images using the classes Graphics, SvgGraphics2D, EmfRecorderGraphics2D, WmfRecorderGraphics2D
- Process images (including per-pixel modifications)
- Convert between different image formats as raster as vector
- Support the large images with size more than 100000x100000 pixels
- Memory and performance management strategies
Supported File Formats
File format | Supported versions | Load | Save |
---|---|---|---|
BMP | BMP Specification v5 | Yes | Yes |
GIF | Version 89a | Yes | Yes |
DICOM | Version 3.0 | Yes | Yes |
DJVU | Version 3.0 | Yes | |
DNG | Version 1.0.0.0 and later | Yes | |
EMF | Revision 11.0 | Yes | Yes |
JPEG | CCITT Rec. T.81 (1992 E) | Yes | Yes |
JPEG2000 | ITU-T Rec. T.800 (08/2002 E) | Yes | Yes |
ODG | Version 1.2 | Yes | |
PNG | Version 1.0 and later | Yes | Yes |
ICO | Version 1.0 and later | Yes | Yes |
APNG | Yes | Yes | |
PSD | Adobe Photoshop 2.0 and later | Yes | |
DXF | Dxf 6 and later | Yes | |
SVG | Version 1.1 | Yes | Yes |
TIFF | Version 6.0* | Yes | Yes |
BIG-TIFF | Yes | Yes | |
DIB | BMP Specification v5 | Yes | |
EPS | Yes | ||
WEBP | Yes | ||
WMF | Revision 13.0 | Yes | Yes |
CDR | Version X7, X6 (3-x5 not completely) | Yes | |
CMX | Version 2.0, 32 bit precision (16 bit precision not completely) | Yes | |
OTG | Version 1.2 | Yes | |
Portable document format | Yes | ||
HTML5 canvas | Html5 canvas element | Yes | |
EMZ | Compressed emf format | Yes | Yes |
WMZ | Compressed wmf format | Yes | Yes |
TGA | Truevision TGA (TARGA) | Yes | Yes |
SVGZ | Compressed svg file format | Yes | Yes |
Platform Independence
Aspose.Imaging for Python can be used to develop applications for a vast range of operating systems, such as Windows (x32/x64), Linux (x64), and MacOS (x64/arm64) where Python 3.5 or later is installed.
The base .NET platform is .NET Core 6.0 Do not use System.Drawing.Common but the platform-independent Aspose.Drawing.
Get Started
Ready to give Aspose.Imaging for Python a try?
Simply run pip install aspose-imaging-python-net
from the console to fetch the package. If you already have Aspose.Imaging for Python and want to upgrade the version, please run pip install --upgrade aspose-imaging-python-net
to get the latest version.
You can run the following snippets in your environment to see how Aspose.Imaging works, or check out the GitHub Repository or Aspose.Imaging for Python Documentation for other common use cases.
Create a PNG image from scratch in Python
from aspose.imaging import Color, Graphics, Pen
from aspose.imaging.fileformats.png import PngImage
# create an empty PNG image
with PngImage(100, 100) as png:
# create a canvas for drawing over the image
g = Graphics(png)
# start a queue of operations which will be processed together as a batch
g.begin_update()
# fill the background with blue color
g.clear(Color.blue)
# draw a line with light green pen with width == 2.0
g.draw_line(Pen(Color.light_green, 2.0), 0, 10, 100, 90)
# execute all drawing operations as one
g.end_update()
# save image in a file
png.save("output.png")
Create and manipulate with PNG image
from aspose.imaging import Image, ResizeType, Graphics, Color, Pen, Rectangle
from aspose.imaging.fileformats.png import PngImage
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.sources import FileCreateSource
from aspose.pycore import as_of
import os
data_dir = "~/data-dir"
width = 500
height = 300
path = os.path.join(data_dir, "result.png")
with PngOptions() as options:
options.source = FileCreateSource(path, False)
with as_of(Image.create(options, width, height), PngImage) as image:
graphic = Graphics(image)
graphic.clear(Color.green)
graphic.draw_line(Pen(Color.blue), 9, 9, 90, 90)
new_width = 400
image.resize_width_proportionally(new_width, ResizeType.LANCZOS_RESAMPLE)
area = Rectangle(10, 10, 200, 200)
image.crop(area)
image.save() # save into the file set to options.source
Load, resize and save a raster image
from aspose.imaging import Image
with Image.load("any-picture.tiff") as image:
image.resize(image.width // 2, image.height // 2)
image.save("output.jpeg")
Load a raster image (PNG) and convert it into jpeg
from aspose.imaging import Image, FileFormat
from aspose.imaging.fileformats.png import PngImage
import aspose.pycore as pycore
with Image.load("any-picture.png") as image:
print("format: ", FileFormat(image.file_format).name)
# for accessing to a PngImage properties and methods need to cast it
png_image = pycore.as_of(image, PngImage)
print("xmp_data", png_image.xmp_data)
image.save("output.jpeg")
Load jpeg and export it into the different formats
from aspose.imaging import Image
from aspose.imaging.fileformats.pdf import PdfDocumentInfo
from aspose.imaging.fileformats.tiff.enums import *
from aspose.imaging.imageoptions import *
import os
data_dir = "data-dir"
with Image.load(os.path.join(data_dir, "template.jpg")) as img:
# convert to webp
img.save(os.path.join(data_dir, "output.webp"), WebPOptions())
# convert to psd
img.save(os.path.join(data_dir, "output.psd "), PsdOptions())
# convert to tiff
img.save(os.path.join(data_dir, "output.tiff"), TiffOptions(TiffExpectedFormat.DEFAULT))
# convert to pdf
export_options = PdfOptions()
export_options.pdf_document_info = PdfDocumentInfo()
img.save(os.path.join(data_dir, "output.pdf"), export_options)
Crop image
from aspose.pycore import as_of
from aspose.imaging import Image, Rectangle, RasterImage
import os
data_dir = "data-dir"
with Image.load(os.path.join(data_dir, "template.jpg")) as img:
# casting to the RasterImage class
raster_image = as_of(img, RasterImage)
# crop
area = Rectangle(10, 10, img.width - 20, img.height - 20)
raster_image.crop(area)
image.save("cropped.jpg")
Merge images into one (collage)
from aspose.imaging import Image, Graphics, Color, RectangleF
from aspose.imaging.fileformats.png import PngColorType
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.sources import FileCreateSource
import os
data_dir = "data-dir"
images = []
# files for merging
files = ["template.png", "template.jpg"] # could be more file here
max_width = 0
max_height = 0
total_width = 0
total_height = 0
for file_name in files:
image = Image.load(os.path.join(data_dir, file_name))
total_width += image.width
if image.width > max_width:
max_width = image.width
total_height += image.height
if image.height > max_height:
max_height = image.height
images.append(image)
def merge_images(direction, out_file_name):
target_width = 0
target_height = 0
if direction == 0:
target_width = total_width
target_height = max_height
else:
target_width = max_width
target_height = total_height
output_path = os.path.join(data_dir, out_file_name + ".png")
with PngOptions() as png_options:
png_options.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
with open(out_file_name, "wb") as stream:
png_options.source = FileCreateSource(output_path, False)
with Image.create(png_options, target_width, target_height) as image:
image.background_color = Color.white
graphics = Graphics(image)
x = 0
y = 0
graphics.begin_update()
for frame in images:
print("x", x, "y", y)
graphics.draw_image(frame, RectangleF(x, y, frame.width, frame.height))
if direction == 0:
x += frame.width
if direction == 1:
y += frame.height
graphics.end_update()
image.save(output_path)
# run
merge_images(0, "collage_horizontal")
merge_images(1, "collage_vertical")
for image in images:
# to dispose the image we call __exit__()
with image as _:
pass
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