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Aspose.Imaging Python
JP2

使用 Python 进行 JP2 图像背景更改

创建 Python 应用程序以通过服务器 API 更改 JP2 图像和照片的背景

 

Aspose.Imaging Python Aspose.Imaging Python

Overview

如何使用 Python 更改 JP2 图像和照片的背景

通常，在以 JP2 编辑图像时，需要更改其背景。第一步涉及选择照片中的前景物体，并将它们与图像的其余部分区分开来，以隔离属于背景的区域。当背景构成均匀区域时，可以自动建立物体轮廓。然而，如果照片背景不规则或在区分所需物体与背景时出现复杂情况，建议采用初步图像标记方法。这需要在照片中选择预期对象所在的矩形区域并指定其类型。此类操作可以手动执行或通过云 API 进行自动对象检测。选择对象并删除原始背景后，您可以选择引入新背景或将其渲染为透明。要修改 JP2 格式的图像背景，我们将使用 Aspose.Imaging for Python via .NET API 是一个功能丰富、功能强大且易于使用的图像处理和转换 API，适用于 Python 平台。您可以使用系统命令中的以下命令安装它。

系统命令行

>> pip install aspose-imaging-python-net

通过 Python 在 JP2 中更改背景的步骤

您需要 aspose-imaging-python-net 在您自己的环境中尝试以下工作流程。

  • 使用 Image.Load 方法加载 JP2 文件
  • 改变背景；
  • 以 Aspose.Imaging 支持的格式将图像保存到光盘

系统要求

所有主要操作系统都支持 Python 的 Aspose.Imaging。只需确保您具有以下先决条件。

  • 带有 .NET Core 运行时的 Microsoft Windows / Linux。
  • Python 和 PyPi 包管理器。
 

更改 JP2 图像的背景 - Python

from aspose.imaging import Image, RasterImage, Point, Rectangle, Color
from aspose.imaging.fileformats.png import PngColorType
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.masking import *
from aspose.imaging.masking.options import *
from aspose.imaging.masking.result import *
from aspose.imaging.sources import FileCreateSource
from aspose.pycore import as_of
import os
if 'TEMPLATE_DIR' in os.environ:
templates_folder = os.environ['TEMPLATE_DIR']
else:
templates_folder = r"C:\Users\USER\Downloads\templates"
delete_output = 'SAVE_OUTPUT' not in os.environ
def remove_background_processing_with_manual_rectangles():
raster_formats = [
"jpg",
"png",
"bmp",
"apng",
"dicom",
"jp2",
"j2k",
"tga",
"webp",
"tif",
"gif",
"ico"
]
vector_formats = [
"svg",
"otg",
"odg",
"wmf",
"emf",
"wmz",
"emz",
"cmx",
"cdr"
]
all_formats: list = []
all_formats.extend(raster_formats)
all_formats.extend(vector_formats)
for format_ext in all_formats:
input_file = os.path.join(templates_folder, f"couple.{format_ext}")
if not os.path.exists(input_file):
continue
is_vector_format = format_ext in vector_formats
# Need to rasterize vector formats before background remove
if is_vector_format:
input_file = rasterize_vector_image(format_ext, input_file)
output_file = os.path.join(templates_folder, f"remove_background_manual_rectangles.{format_ext}.png")
print(f"Processing {format_ext}")
with as_of(Image.load(input_file), RasterImage) as image:
obj_init3 = AutoMaskingArgs()
obj_init3.objects_rectangles = [Rectangle(87, 47, 123, 308), Rectangle(180, 24, 126, 224)]
obj_init4 = PngOptions()
obj_init4.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
obj_init4.source = FileCreateSource(output_file, False)
obj_init5 = AutoMaskingGraphCutOptions()
obj_init5.feathering_radius = 2
obj_init5.method = SegmentationMethod.GRAPH_CUT
obj_init5.args = obj_init3
obj_init5.export_options = obj_init4
masking_options = obj_init5
with ImageMasking(image).create_session(masking_options) as masking_session:
# first run of segmentation
with masking_session.decompose() as _:
pass
args_with_user_markers = AutoMaskingArgs()
obj_init_list = [
# background markers
None,
# foreground markers
UserMarker()
# boy's head
.add_point(218, 48, 10)
# girl's head
.add_point(399, 66, 10)
# girs's body
.add_point(158, 141, 10)
.add_point(158, 209, 20)
.add_point(115, 225, 5)
.get_points()]
args_with_user_markers.objects_points = obj_init_list
with masking_session.improve_decomposition(args_with_user_markers) as masking_result:
with masking_result[1].get_image() as result_image:
result_image.save()
if delete_output:
os.remove(output_file)
# Remove rasterized vector image
if is_vector_format and delete_output:
os.remove(input_file)
def remove_background_auto_processing_with_assumed_objects():
raster_formats = [
"jpg",
"png",
"bmp",
"apng",
"dicom",
"jp2",
"j2k",
"tga",
"webp",
"tif",
"gif"]
vector_formats = [
"svg",
"otg",
"odg",
"eps",
"wmf",
"emf",
"wmz",
"emz",
"cmx",
"cdr"]
all_formats = []
all_formats.extend(raster_formats)
all_formats.extend(vector_formats)
for format_ext in all_formats:
input_file = os.path.join(templates_folder, f"couple.{format_ext}")
if not os.path.exists(input_file):
continue
is_vector_format = format_ext in vector_formats
# Need to rasterize vector formats before background remove
if is_vector_format:
input_file = rasterize_vector_image(format_ext, input_file)
output_file = os.path.join(templates_folder,
f"remove_background_auto_assumed_objects.{format_ext}.png")
print(f"Processing {format_ext}")
with as_of(Image.load(input_file), RasterImage) as image:
obj_init9 = list()
obj_init9.append(AssumedObjectData(DetectedObjectType.HUMAN, Rectangle(87, 47, 123, 308)))
obj_init9.append(AssumedObjectData(DetectedObjectType.HUMAN, Rectangle(180, 24, 126, 224)))
obj_init10 = PngOptions()
obj_init10.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
obj_init10.source = FileCreateSource(output_file, False)
obj_init11 = AutoMaskingGraphCutOptions()
obj_init11.assumed_objects = obj_init9
obj_init11.calculate_default_strokes = True
obj_init11.feathering_radius = 1
obj_init11.method = SegmentationMethod.GRAPH_CUT
obj_init11.export_options = obj_init10
obj_init11.background_replacement_color = Color.green
masking_options = obj_init11
with ImageMasking(image).decompose(masking_options) as masking_result:
with masking_result[1].get_image() as result_image:
result_image.save()
# Remove rasterized vector image
if is_vector_format and delete_output:
os.remove(input_file)
if delete_output:
os.remove(output_file)
def remove_background_auto_processing():
raster_formats = [
"jpg",
"png",
"bmp",
"apng",
"dicom",
"jp2",
"j2k",
"tga",
"webp",
"tif",
"gif"]
vector_formats = [
"svg",
"otg",
"odg",
"eps",
"wmf",
"emf",
"wmz",
"emz",
"cmx",
"cdr"]
all_formats: list = []
all_formats.extend(raster_formats)
all_formats.extend(vector_formats)
for format_ext in all_formats:
input_file = os.path.join(templates_folder, f"couple.{format_ext}")
if not os.path.exists(input_file):
continue
is_vector_format = format_ext in vector_formats
# Need to rasterize vector formats before background remove
if is_vector_format:
input_file = rasterize_vector_image(format_ext, input_file)
output_file = os.path.join(templates_folder, f"remove_background_auto.{format_ext}.png")
print(f"Processing {format_ext}")
with as_of(Image.load(input_file), RasterImage) as image:
obj_init14 = PngOptions()
obj_init14.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
obj_init14.source = FileCreateSource(output_file, False)
obj_init15 = AutoMaskingGraphCutOptions()
obj_init15.feathering_radius = 1
obj_init15.method = SegmentationMethod.GRAPH_CUT
obj_init15.export_options = obj_init14
obj_init15.background_replacement_color = Color.green
masking_options = obj_init15
with ImageMasking(image).decompose(masking_options) as masking_result:
with masking_result[1].get_image() as result_image:
result_image.save()
# Remove rasterized vector image
if is_vector_format and delete_output:
os.remove(input_file)
if delete_output:
os.remove(output_file)
def remove_background_generic_example():
raster_formats = [
"jpg",
"png",
"bmp",
"apng",
"dicom",
"jp2",
"j2k",
"tga",
"webp",
"tif",
"gif"]
vector_formats = [
"svg",
"otg",
"odg",
"wmf",
"emf",
"wmz",
"emz",
"cmx",
"cdr"]
all_formats: list = []
all_formats.extend(raster_formats)
all_formats.extend(vector_formats)
for format_ext in all_formats:
input_file = os.path.join(templates_folder, f"couple.{format_ext}")
if not os.path.exists(input_file):
continue
is_vector_format: bool = format_ext in vector_formats
# Need to rasterize vector formats before background remove
if is_vector_format:
input_file = rasterize_vector_image(format_ext, input_file)
output_file = os.path.join(templates_folder, f"remove_background.{format_ext}.png")
print(f"Processing {format_ext}")
with as_of(Image.load(input_file), RasterImage) as image:
obj_init18 = PngOptions()
obj_init18.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
obj_init18.source = FileCreateSource(output_file, False)
obj_init19 = AutoMaskingGraphCutOptions()
obj_init19.calculate_default_strokes = True
obj_init19.feathering_radius = 1
obj_init19.method = SegmentationMethod.GRAPH_CUT
obj_init19.export_options = obj_init18
obj_init19.background_replacement_color = Color.green
masking_options = obj_init19
with ImageMasking(image).decompose(masking_options) as masking_result:
with masking_result[1].get_image() as result_image:
result_image.save()
# Remove rasterized vector image
if is_vector_format and delete_output:
os.remove(input_file)
if delete_output:
os.remove(output_file)
def rasterize_vector_image(format_ext, input_file):
output_file: str = os.path.join(templates_folder, f"rasterized.{format_ext}.png")
with Image.load(input_file) as image:
image.save(output_file, PngOptions())
return output_file
class UserMarker:
def __init__(self):
self._list: list = []
def add_point(self, left, top, radius):
for y in range(top - radius, top + radius + 1):
for x in range(left - radius, left + radius + 1):
self._list.append(Point(x, y))
return self
def get_points(self):
return self._list
# Run examples
remove_background_auto_processing_with_assumed_objects()
remove_background_processing_with_manual_rectangles()
remove_background_auto_processing()
remove_background_generic_example()
view raw remove-change-background-generic-examples.py hosted with ❤ by GitHub
 

    • 关于 Python API 的 Aspose.Imaging

    Aspose.Imaging API 是一种图像处理解决方案，用于在应用程序中创建、修改、绘制或转换图像（照片）。它提供：跨平台的图像处理，包括但不限于各种图像格式之间的转换（包括统一的多页或多帧图像处理）、绘图等修改、使用图形基元、转换（调整大小、裁剪、翻转和旋转） 、二值化、灰度、调整）、高级图像处理功能（过滤、抖动、遮罩、去偏斜）和内存优化策略。它是一个独立的库，不依赖任何软件进行图像操作。可以在项目中使用原生 API 轻松添加高性能图像转换功能。这些是 100% 私有的本地 API，图像在您的服务器上处理。

    通过在线应用更改 JP2 中的背景

    通过访问我们的 Live Demos 网站 更改 JP2 文档的背景。 现场演示有以下好处

      无需下载或设置任何东西
      无需编写任何代码
      只需上传您的 JP2 文件并点击“立即更改背景”按钮
      立即获取生成文件的下载链接

    JP2 什么是 JP2 文件格式

    JPEG 2000 (JP2) 是一种图像编码系统和最先进的图像压缩标准。设计，使用小波技术 JPEG 2000 可以一次编码任何质量的无损内容。此外，在编码效率没有任何实质性损失的情况下，JPEG 2000 能够有效地访问相同的内容并将其解码为各种其他分辨率和质量。 JPEG 2000 中的码流具有显着的可扩展性，具有为空间随机访问提供便利的感兴趣区域。拥有多达 16384 个不同的组件，尺寸以万亿像素为单位，精度可高达 38 位/样本。

    阅读更多

    其他支持的更改背景格式

    使用 Python，可以轻松更改不同格式的背景，包括。

    APNG (动画便携式网络图形)
    BMP (位图图片)
    ICO (窗口图标)
    JPG (联合摄影专家组)
    DIB (设备无关位图)
    DICOM (数码影像与通讯)
    DJVU (图形格式)
    DNG (数码相机图像)
    EMF (增强的元文件格式)
    EMZ (Windows 压缩增强元文件)
    GIF (图形交换格式)
    J2K (小波压缩图像)
    PNG (便携式网络图形)
    TIFF (标记图像格式)
    WEBP (光栅 Web 图像)
    WMF (微软视窗元文件)
    WMZ (压缩的 Windows Media Player 皮肤)
    TGA (塔加图形)
    SVG (可缩放矢量图形)
    EPS (封装的 PostScript 语言)
    CDR (矢量绘图图像)
    CMX (Corel 交换图像)
    OTG (开放文档标准)
    ODG (Apache OpenOffice 绘图格式)
    AVIF