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Evgeniy Sidenko
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Updated up to the version 24.6
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‎Examples/src/modifyingandconvertingimages/KernelFilters.py

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# GROUP: MODIFYING_AND_CONVERTING_IMAGES
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import os, random
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import aspose.pycore as aspycore
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from aspose.imaging import Image, RasterImage, VectorImage
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from aspose.imaging.imagefilters.complexutils import Complex
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from aspose.imaging.imagefilters.convolution import *
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from aspose.imaging.imagefilters.filteroptions import *
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# Initialization
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def get_data_root_dir_local():
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if 'BASE_DIR' in os.environ:
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return os.environ["BASE_DIR"]
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return "."
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if 'get_data_root_dir' not in dir():
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get_data_root_dir = get_data_root_dir_local
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if 'get_output_dir' not in dir():
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get_output_dir = get_data_root_dir_local
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delete_output = 'SAVE_OUTPUT' not in os.environ
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def delete_file(file):
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if delete_output:
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os.remove(file)
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# Example code:
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def filter(raster, options, output_path):
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raster.filter(raster.bounds, options)
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raster.save(output_path)
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def get_random_kernel(cols, rows):
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custom_kernel = [0.0] * (cols * rows)
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for y in range(rows):
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for x in range(cols):
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custom_kernel[y*cols + x] = random.random()
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return custom_kernel
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size: int = 5
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sigma: float = 1.5
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angle: float = 45
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custom_kernel = get_random_kernel(size, 7)
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custom_complex = ConvolutionFilter.to_complex(custom_kernel)
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kernel_filters = [
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# convolution filters
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ConvolutionFilterOptions(ConvolutionFilter.get_emboss_3x3()),
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ConvolutionFilterOptions(ConvolutionFilter.get_emboss_5x5()),
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ConvolutionFilterOptions(ConvolutionFilter.get_sharpen_3x3()),
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ConvolutionFilterOptions(ConvolutionFilter.get_sharpen_5x5()),
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ConvolutionFilterOptions(ConvolutionFilter.get_blur_box(size)),
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ConvolutionFilterOptions(ConvolutionFilter.get_blur_motion(size, angle)),
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ConvolutionFilterOptions(ConvolutionFilter.get_gaussian(size, sigma)),
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ConvolutionFilterOptions(custom_kernel),
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GaussianBlurFilterOptions(size, sigma),
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SharpenFilterOptions(size, sigma),
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MedianFilterOptions(size),
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# deconvolution filters
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DeconvolutionFilterOptions(ConvolutionFilter.get_gaussian(size, sigma)),
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DeconvolutionFilterOptions(custom_kernel),
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DeconvolutionFilterOptions(custom_complex),
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GaussWienerFilterOptions(size, sigma),
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MotionWienerFilterOptions(size, sigma, angle)
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]
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data_dir = os.path.join(get_data_root_dir(), 'png')
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input_paths = [
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os.path.join(data_dir, "template.png")
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]
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outputs = []
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for input_path in input_paths:
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for i, options in enumerate(kernel_filters):
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with Image.load(input_path) as image:
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output_path = f"{input_path}-{i}.png"
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if aspycore.is_assignable(image, RasterImage):
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raster = aspycore.as_of(image, RasterImage)
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filter(raster, options, output_path)
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outputs.append(output_path)
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elif aspycore.is_assignable(image, VectorImage):
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vector = aspycore.as_of(image, VectorImage)
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vector_as_png = input_path + ".png"
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if not os.path.exists(vector_as_png):
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vector.save(vector_as_png)
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outputs.append(vector_as_png)
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with Image.load(vector_as_png) as png:
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filter(aspycore.as_of(png, RasterImage), options, output_path)
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outputs.append(output_path)
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# Removing all output files
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for p in outputs:
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delete_file(p)

‎Examples/src/modifyingandconvertingimages/dicom/ModifyDicomTags.py

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# GROUP: TEST_FILE_FORMATS
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from aspose.pycore import as_of
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from aspose.imaging.fileformats.dicom import DicomImage
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from aspose.imaging import Image
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import os
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# Initialization
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def get_data_root_dir_local():
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if 'BASE_DIR' in os.environ:
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return os.environ["BASE_DIR"]
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return "."
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if 'get_data_root_dir' not in dir():
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get_data_root_dir = get_data_root_dir_local
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if 'get_output_dir' not in dir():
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get_output_dir = get_data_root_dir_local
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# Example code:
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print("Running example ModifyDicomTags")
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# The path to the documents directory.
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data_dir = os.path.join(get_data_root_dir(), 'dicom')
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out_file = os.path.join(get_output_dir(), 'output.dcm')
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with as_of(Image.load(dataDir + "file.dcm"), DicomImage) as image:
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image.file_info.update_tag_at(33, "Test Patient") # "Patient's Name"
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image.file_info.add_tag("Angular View Vector", 234)
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image.file_info.remove_tag_at(29) # "Station Name"
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image.save(out_file)
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if 'SAVE_OUTPUT' not in os.environ:
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os.remove(out_file)
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print("Finished example ModifyDicomTags")

‎Examples/src/modifyingandconvertingimages/dicom/RemoveAndSaveWithMetadata.py

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# GROUP: MODIFYING_AND_CONVERTING_IMAGES
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from aspose.pycore import as_of, is_assignable
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from aspose.imaging.fileformats.dicom import DicomImage
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from aspose.imaging import Image
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from aspose.imaging.exif import IHasExifData
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from aspose.imaging.imageoptions import DicomOptions
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import os
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# Initialization
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def get_data_root_dir_local():
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if 'BASE_DIR' in os.environ:
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return os.environ["BASE_DIR"]
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return "."
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if 'get_data_root_dir' not in dir():
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get_data_root_dir = get_data_root_dir_local
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if 'get_output_dir' not in dir():
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get_output_dir = get_data_root_dir_local
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# Example code:
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# The path to the documents directory.
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data_dir = os.path.join(get_data_root_dir(), 'dicom')
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out_file1 = os.path.join(get_output_dir(), 'output.dcm')
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out_file2 = os.path.join(get_output_dir(), 'output_remove.dcm')
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out_file3 = os.path.join(get_output_dir(), 'output_modify.dcm')
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def exportWithMetadata(inputPath, outputPath, exportOptions):
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with Image.load(inputPath) as image:
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exportOptions.keep_metadata = True
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image.save(outputPath, exportOptions)
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def removeMetadata(inputPath, outputPath, exportOptions):
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with Image.load(inputPath) as image:
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image.remove_metadata()
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image.save(outputPath, exportOptions)
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def modifyMetada(inputPath, outputPath, exportOptions):
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with Image.load(inputPath) as image:
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if is_assignable(image, IHasExifData):
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hasExif = as_of(image, IHasExifData)
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if hasExif.exif_data is not None:
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hasExif.exif_data.user_comment = f"Modified at {datetime.now()}"
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exportOptions.keep_metadata = True
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image.save(outputPath, exportOptions)
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exportWithMetadata(os.path.join(data_dir, "file.dcm"), out_file1, DicomOptions())
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removeMetadata(os.path.join(data_dir, "file.dcm"), out_file2, DicomOptions())
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modifyMetada(os.path.join(data_dir, "file.dcm"), out_file3, DicomOptions())
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if 'SAVE_OUTPUT' not in os.environ:
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os.remove(out_file1)
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os.remove(out_file2)
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os.remove(out_file3)

‎LICENSE

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The MIT License (MIT)
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Copyright (c) 2001-2023 Aspose Pty Ltd
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Copyright (c) 2001-2024 Aspose Pty Ltd
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

‎README.md

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# API for Image Processing
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[Aspose.Imaging for Python via .NET](https://products.aspose.com/imaging/python-net) is a library offering advanced image processing features. Developers can create, edit or convert images in their own application. Also **Aspose.Imaging** library supports drawing and work with graphic primitives. Image exporting 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), advanced image manipulation features (filtering, dithering, masking, deskewing) and memory optimization strategies.
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[Aspose.Imaging for Python via .NET](https://products.aspose.com/imaging/python-net) is Another Python Imaging Library offering advanced image processing features. Developers can create, edit or convert images in their own application. Also **Aspose.Imaging** library supports drawing and work with graphic primitives. Image exporting 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), advanced image manipulation features (filtering, dithering, masking, deskewing) and memory optimization strategies.
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<p align="center">
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<a title="Download ZIP" href="https://github.com/aspose-imaging/Aspose.Imaging-for-Python-NET/archive/main.zip">
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## Platform Independence
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Aspose.Imaging for Python via .NET can be used to develop applications on Windows Desktop (x86, x64), Windows Server (x86, x64), Windows Azure, as well as Linux x64. Aspose.Imaging for Python is based on .NET Core 3.1 platform, so you need install it as well.
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Aspose.Imaging for Python via .NET can be used to develop applications on Windows Desktop (x86, x64), Windows Server (x86, x64), Windows Azure, as well as Linux x64, macOS 10.14 (x86_64), and macOS 11.0 (arm64) . Aspose.Imaging for Python is based on .NET Core 6.0 platform, so you need install it as well.
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## Get Started with Aspose.Imaging for Python via .NET
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