Manipulating JPEG Images

Using ExifData Class to Read and Modify Jpeg EXIF Tags

Almost all digital cameras (including smartphones), scanners and other systems handling image save images with EXIF (Exchangeable Image File) information. Camera settings and scene information are recorded by the camera into the image file. EXIF data also include shutter speed, date and time a photo was taken, focal length, exposure compensation, metering pattern and if a flash was used. Aspose.Imaging APIs has made possible to extract the EXIF information from a given image in a very easy and simple manner. Developers may also write EXIF data to the images or modify the existing information as per their requirement. Aspose.Imaging has provided ExifData class for reading, writing and modifying the EXIF data, where as aspose.imaging.exif.enums module contains the relevant enumerations used in the process.

Reading EXIF Data

Aspose.Imaging APIs provide means to read EXIF data from a given image. Below provided steps illustrate the usage of ExifData class to read the EXIF information from an image.

1. Load an image into an instance of Image using the factory method load.
2. Create and initialize an instance of ExifData class.
3. Fetch the required information and write it to console.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
import os
import inspect


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
data_dir = templates_folder
with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as image:
	exif_data = image.exif_data
	if exif_data is not None:
		type_ = exif_data.get_type()
		print("type =", type_)
		print("exif_data =", exif_data)

for i in inspect.getmembers(exif_data):
	# to remove private and protected
    # functions
    if not i[0].startswith('_'):
        # To remove other methods that
        # does not start with a underscore
        if not inspect.ismethod(i[1]):
            result = getattr(exif_data, i[0])
            if result is not None and type(result) in (int, str, list):
                print(i[0], result)

Alternatively, developers may also get the specific information using the following code snippet.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
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
data_dir = templates_folder
# Load an image using the factory method Load exposed by Image class
with Image.load(os.path.join(data_dir, "template.jpg")) as image:
	# Initialize an object of ExifData and fill it will image's EXIF information
	exif = (aspycore.as_of(image, JpegImage)).exif_data
	# Check if image has any EXIF entries defined and Display a few EXIF entries
	if exif is not None:
		print("Exif WhiteBalance: ", exif.white_balance)
		print("Exif PixelXDimension: ", exif.pixel_x_dimension)
		print("Exif PixelYDimension: ", exif.pixel_y_dimension)
		print("Exif ISOSpeed: ", exif.iso_speed)
		print("Exif FocalLength: ", exif.focal_length)

Writing & Modifying EXIF Data

Using Aspose.Imaging APIs, developers can write new EXIF information and modify existing EXIF data of an image. Both processes (Writing & Modifying) requires loading of an image and getting the EXIF data into an instance of ExifData class. Then one can access properties exposed by ExifData class to set them accordingly. Sample code to demonstrate the usage is as follow:

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
from aspose.imaging.exif.enums import ExifWhiteBalance, ExifFlash
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
data_dir = templates_folder
# Load an image using the factory method Load exposed by Image class
with Image.load(os.path.join(data_dir, "template.jpg")) as image:
	# Initialize an object of ExifData and fill it will image's EXIF information
	exif = (aspycore.as_of(image, JpegImage)).exif_data
	if exif is not None:
		# Set LensMake, WhiteBalance, Flash information Save the image
		exif.lens_make = "Sony"
		exif.white_balance = ExifWhiteBalance.AUTO
		exif.flash = ExifFlash.FIRED
		image.save(os.path.join(data_dir, "result.jpg"))

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

Creating Thumbnails from JPEG Images

Thumbnails are reduced-size versions of pictures, used to display a significant part of the picture instead of the full frame. Some image files (especially the ones shot with a digital camera) have a thumbnail image embedded in the file. In such cases, Aspose.Imaging API retrieves the embedded thumbnail image and allows you to store it separately on disk. With the release of Aspose.Imaging 2.3.1, the JpegImage class contains the ExifData.Thumbnail property that can retrieve the thumbnail information from a JPEG image file. The code snippet provided below demonstrates how to use it.

from aspose.imaging import Image, ResizeType
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
data_dir = templates_folder
# Load an image using the factory method Load exposed by Image class
with Image.load(os.path.join(data_dir, "template.jpg")) as image:
	image.resize(100, 100, ResizeType.LANCZOS_RESAMPLE)
	image.save(os.path.join(data_dir, "result.jpg"))

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

If you wish to generate thumbnails from other image formats such as BMP & PNG, please refer to the Resizing Images.

Adding Thumbnails to JFIF and EXIF Segments of JPEG Images

The release of Aspose.Imaging 2.3.1 enabled developers to create thumbnails from JPEG images using the ExifData.thumbnail property. Starting from Aspose.Imaging 2.4.0, it is possible to add thumbnails to the JFIF and EXIF segments of JPEG images. There are additional thumbnail properties in the ExifData and Jfif classes, which are of the JpegImage type, that can can be used to store additional thumbnail images inside the original JPEG image.

Add Thumbnail to JFIF Segment

The code snippet below demonstrates how to use the Jfif.thumbnail property to add a thumbnail image to the JFIF segment of a new JPEG image.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage, JFIFData
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
data_dir = templates_folder
with JpegImage(100, 100) as thumbnail_image:
	with JpegImage(1000, 1000) as image:
		image.jfif = JFIFData()
		image.jfif.thumbnail = thumbnail_image
		image.save(os.path.join(data_dir, "result.jpg"))

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

Thumbnail images with other segment data cannot occupy more than 65,545 bytes because of the JPEG format specifications. In cases where large images are to be set as a thumbnail, exception may arise.

Add Thumbnail to EXIF Segment

The code snippet below demonstrate how to use the ExifData.thumbnail property to add a thumbnail image to the EXIF segment of a new JPEG image.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage, JFIFData
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
data_dir = templates_folder
with JpegImage(100, 100) as thumbnail_image:
	with JpegImage(1000, 1000) as image:
		image.jfif = JFIFData()
		image.jfif.thumbnail = thumbnail_image
		image.save(os.path.join(data_dir, "result.jpg"))

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

In this case, the Aspose.Imaging API cannot estimate the thumbnail image size, but it can check the size of the entire EXIF data segment. This cannot be bigger than 65,535 bytes.

Using JpegExifData Class to Read and Modify Jpeg EXIF Tags

Aspose.Imaging APIs provide JpegExifData class that is exclusive to Jpeg image formats to retrieve & update EXIF information. This article demonstrates the usage of JpegExifData class to achieve the same. aspose.imaging.exif.JpegExifData class serves as EXIF data container for Jpeg images, and provide means to retrieve standard Jpeg EXIF tags as demonstrated below:

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
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
data_dir = templates_folder
# Load an image using the factory method Load exposed by Image class
with Image.load(os.path.join(data_dir, "template.jpg")) as image:
	# Initialize an object of ExifData and fill it will image's EXIF information
	exif = (aspycore.as_of(image, JpegImage)).exif_data
	# Check if image has any EXIF entries defined and Display a few EXIF entries
	if exif is not None:
		print("Exif WhiteBalance: ", exif.white_balance)
		print("Exif PixelXDimension: ", exif.pixel_x_dimension)
		print("Exif PixelYDimension: ", exif.pixel_y_dimension)
		print("Exif ISOSpeed: ", exif.iso_speed)
		print("Exif FocalLength: ", exif.focal_length)

Complete List of EXIF Tags

The above code snippet reads a few EXIF Tags using the properties offered by aspose.imaging.exif.JpegExifData class. Complete list of these properties is available here. Following code will read all the EXIF tags using the inspect.getmembers function from inspect package.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
import os
import inspect


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
data_dir = templates_folder
with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as image:
	exif_data = image.exif_data
	if exif_data is not None:
		type_ = exif_data.get_type()
		print("type =", type_)
		print("exif_data =", exif_data)

for i in inspect.getmembers(exif_data):
	# to remove private and protected
    # functions
    if not i[0].startswith('_'):
        # To remove other methods that
        # does not start with a underscore
        if not inspect.ismethod(i[1]):
            result = getattr(exif_data, i[0])
            if result is not None and type(result) in (int, str, list):
                print(i[0], result)

Support for JPEG-LS

 Aspose.Imaging for Python via .NET API now provide support for JPEG-LS. The code snippet below demonstrates how to use that support for JPEG-LS image and decode that and save into PNG.

import aspose.pycore as aspycore
from aspose.imaging import Image, Rectangle
from aspose.imaging.fileformats.jpeg import JpegImage, JpegCompressionMode
from aspose.imaging.fileformats.png import PngImage
from aspose.imaging.imageoptions import PngOptions
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
data_dir = templates_folder
# Decoding
with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as jpeg_image:
	jpeg_options = jpeg_image.jpeg_options
	# You can read new options:
	print("Compression type:          ", jpeg_options.compression_type)
	print("Allowed lossy error (NEAR):", jpeg_options.jpeg_ls_allowed_lossy_error)
	print("Interleaved mode (ILV):    ", jpeg_options.jpeg_ls_interleave_mode)
	# Save the original JPEG-LS image to PNG.
	jpeg_image.save(os.path.join(data_dir, "result.png"), PngOptions())
	# Save the bottom-right quarter of the original JPEG-LS to PNG
	quarter = Rectangle(jpeg_image.width // 2, jpeg_image.height // 2, 
						jpeg_image.width // 2, jpeg_image.height // 2)
	jpeg_image.save(os.path.join(data_dir, "result2.png"), PngOptions(), quarter)

if delete_output:
	os.remove(os.path.join(data_dir, "result.png"))
	os.remove(os.path.join(data_dir, "result2.png"))

Support for JPEG-LS with CMYK and YCCK

 Aspose.Imaging for Python via .NET API now provide support for CMYK and YCCK color models with JPEG-LS. The code snippet below demonstrates how to use that support for JPEG-LS.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage, JpegCompressionMode, JpegCompressionColorMode
from aspose.imaging.imageoptions import JpegOptions, PngOptions
from aspose.imaging.extensions import StreamExtensions
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
data_dir = templates_folder
with StreamExtensions.create_memory_stream() as jpeg_ls_stream:
	# Save to CMYK JPEG-LS
	with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as image:
		options = JpegOptions()
		# Just replace one line given below in examples to use YCCK instead of CMYK
		# options.ColorType = JpegCompressionColorMode.Cmyk;
		options.color_type = JpegCompressionColorMode.CMYK
		options.compression_type = JpegCompressionMode.JPEG_LS
		# The default profiles will be used.
		options.rgb_color_profile = None
		options.cmyk_color_profile = None
		image.save(jpeg_ls_stream, options)

	# Load from CMYK JPEG-LS
	jpeg_ls_stream.seek(0)
	with aspycore.as_of(Image.load(jpeg_ls_stream), JpegImage) as image:
		image.save(os.path.join(data_dir, "result.png"), PngOptions())

if delete_output:
	os.remove(os.path.join(data_dir, "result.png"))

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage, JpegCompressionMode, JpegCompressionColorMode
from aspose.imaging.fileformats.png import PngImage
from aspose.imaging.imageoptions import PngOptions, JpegOptions
from aspose.imaging.sources import StreamSource
from aspose.imaging.extensions import StreamExtensions
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
data_dir = templates_folder
with StreamExtensions.create_memory_stream() as jpeg_stream:
	with open(os.path.join(data_dir, "iccprofiles\\eciRGB_v2.icc"), "rb") as rgb_profile_stream, \
	  open(os.path.join(data_dir, "iccprofiles\\ISOcoated_v2_FullGamut4.icc"), "rb") as cmyk_profile_stream:
		rgb_color_profile = StreamSource(rgb_profile_stream)
		cmyk_color_profile = StreamSource(cmyk_profile_stream)
		# Save to JPEG Lossless CMYK
		with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as image:
			options = JpegOptions()
			options.color_type = JpegCompressionColorMode.CMYK
			options.compression_type = JpegCompressionMode.LOSSLESS
			# The custom profiles will be used.
			options.rgb_color_profile = rgb_color_profile
			options.cmyk_color_profile = cmyk_color_profile
			image.save(jpeg_stream, options)

		# Load from JPEG Lossless CMYK
		jpeg_stream.seek(0)
		rgb_profile_stream.position = 0
		cmyk_profile_stream.position = 0
		with aspycore.as_of(Image.load(jpeg_stream), JpegImage) as image:
			image.rgb_color_profile = rgb_color_profile
			image.cmyk_color_profile = cmyk_color_profile
			image.save(os.path.join(data_dir, "result.png"), PngOptions())
			
if delete_output:
	os.remove(os.path.join(data_dir, "result.png"))

Support for 2-7 bits per sample in JPEG-LS images

 Aspose.Imaging for Python via .NET API now provide support for 2-7 bits per sample JPEG-LS images. The code snippet below demonstrates how to use that support for JPEG-LS.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage, JpegCompressionMode
from aspose.imaging.fileformats.png import PngImage
from aspose.imaging.imageoptions import PngOptions, JpegOptions
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
data_dir = templates_folder
bpp = 2
# The origin PNG with 8 bits per sample
origin_png_file_name = os.path.join(data_dir, "template.png")
# The output JPEG-LS with 2 bits per sample.
output_jpeg_file_name = os.path.join(data_dir, "result.jls")
with aspycore.as_of(Image.load(origin_png_file_name), PngImage) as png_image:
	with JpegOptions() as jpeg_options:
		jpeg_options.bits_per_channel = bpp
		jpeg_options.compression_type = JpegCompressionMode.JPEG_LS
		png_image.save(output_jpeg_file_name, jpeg_options)

# The output PNG is produced from JPEG-LS to check image visually.
output_png_file_name = os.path.join(data_dir, "result.png")
with aspycore.as_of(Image.load(output_jpeg_file_name), JpegImage) as jpeg_image:
	jpeg_image.save(output_png_file_name, PngOptions())

if delete_output:
	os.remove(output_png_file_name)
	os.remove(output_jpeg_file_name)

Setting ColorType and CompressionType for JPEG images

 Aspose.Imaging for Python via .NET API now provide support for Color Type and compression Type and set them as gray scale and progressive for JPEG images. The code snippet below demonstrates how to use that support.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegCompressionColorMode, JpegCompressionMode
from aspose.imaging.imageoptions import JpegOptions
import os
import inspect


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
data_dir = templates_folder
with Image.load(os.path.join(data_dir, "template.gif")) as original:
	jpeg_options = JpegOptions()
	jpeg_options.color_type = JpegCompressionColorMode.GRAYSCALE
	jpeg_options.compression_type = JpegCompressionMode.PROGRESSIVE
	original.save(os.path.join(data_dir, "result.jpg"), jpeg_options)

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

Convert TIFF to JPEG image

Using Aspose.Imaging for Python via .NET, developers can convert TIFF to JPEG format. This topic explains the approach to load existing TIFF image and convert it to JPEG using JpegOptions class.

The steps to convert TIFF image to JPEG are as simple as below:

• Create an instance of the TiffImage and load image using load method of Image class
• Iterate over the collection of frames of type TiffFrame
• Create an instance of JpegOptions class and set ResolutionSettings
• Set the resolution unit explicitly
• Call TiffFrame.save method with destination path and an instance JpegOptions

Below provided sample code demonstrate how to convert TIFF to JPEG.

import aspose.pycore as aspycore
from aspose.imaging import Image, ResolutionSetting, ResolutionUnit
from aspose.imaging.fileformats.tiff import TiffImage
from aspose.imaging.fileformats.tiff.enums import TiffResolutionUnits
from aspose.imaging.imageoptions import JpegOptions
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
data_dir = templates_folder
with aspycore.as_of(Image.load(os.path.join(data_dir, "template.tiff")), TiffImage) as tiff_image:
	i = 0
	for tiff_frame in tiff_image.frames:
		save_options = JpegOptions()
		save_options.resolution_settings = ResolutionSetting(tiff_frame.horizontal_resolution, tiff_frame.vertical_resolution)
		if tiff_frame.frame_options is not None:
			# Set the resolution unit explicitly.
			tmp_switch = tiff_frame.frame_options.resolution_unit
			if tmp_switch == TiffResolutionUnits.NONE:
				save_options.resolution_unit = ResolutionUnit.NONE
			elif tmp_switch == TiffResolutionUnits.INCH:
				save_options.resolution_unit = ResolutionUnit.INCH
			elif tmp_switch == TiffResolutionUnits.CENTIMETER:
				save_options.resolution_unit = ResolutionUnit.CM
			else:
				raise System.NotSupportedException()


		tiff_frame.save(os.path.join(data_dir, "result.jpg"), save_options)

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))

Memory Strategy optimization

Loading and creating of JPEG images can be proceeded using memory strategy optimization - i.e. limiting memory buffer size for operation.

import aspose.pycore as aspycore
from aspose.imaging import Image, LoadOptions
from aspose.imaging.sources import FileCreateSource
from aspose.imaging.imageoptions import JpegOptions
from aspose.imaging.fileformats.jpeg import JpegCompressionMode, JpegCompressionColorMode, JpegLsInterleaveMode
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
data_dir = templates_folder
# Setting a memory limit of 50 megabytes for target loaded image
obj_init = LoadOptions()
obj_init.buffer_size_hint = 50
with Image.load(os.path.join(data_dir, "template.jpg"), obj_init) as image:
	obj_init2 = JpegOptions()
	obj_init2.compression_type = JpegCompressionMode.BASELINE
	obj_init2.quality = 100
	image.save(os.path.join(data_dir, "result.jpg"), obj_init2)
	obj_init3 = JpegOptions()
	obj_init3.compression_type = JpegCompressionMode.PROGRESSIVE
	image.save(os.path.join(data_dir, "result2.jpg"), obj_init3)
	obj_init4 = JpegOptions()
	obj_init4.color_type = JpegCompressionColorMode.Y_CB_CR
	obj_init4.compression_type = JpegCompressionMode.LOSSLESS
	obj_init4.bits_per_channel = 4
	image.save(os.path.join(data_dir, "result3.jpg"), obj_init4)
	obj_init5 = JpegOptions()
	obj_init5.color_type = JpegCompressionColorMode.Y_CB_CR
	obj_init5.compression_type = JpegCompressionMode.JPEG_LS
	obj_init5.jpeg_ls_interleave_mode = JpegLsInterleaveMode.NONE
	obj_init5.jpeg_ls_allowed_lossy_error = 3
	obj_init5.jpeg_ls_preset = None
	image.save(os.path.join(data_dir, "result4.jpg"), obj_init5)

# Setting a memory limit of 50 megabytes for target created image
with JpegOptions() as create_options:
	create_options.compression_type = JpegCompressionMode.PROGRESSIVE
	create_options.buffer_size_hint = 50
	create_options.source = FileCreateSource(os.path.join(data_dir, "result5.jpg"), False)
	with Image.create(create_options, 1000, 1000) as image:
		image.save()

if delete_output:
	os.remove(os.path.join(data_dir, "result.jpg"))
	os.remove(os.path.join(data_dir, "result2.jpg"))
	os.remove(os.path.join(data_dir, "result3.jpg"))
	os.remove(os.path.join(data_dir, "result4.jpg"))
	os.remove(os.path.join(data_dir, "result5.jpg"))

Jpeg saved quality estimation

Using Aspose.Imaging you can easily estimate JPEG quality and work with it.

import aspose.pycore as aspycore
from aspose.imaging import Image
from aspose.imaging.fileformats.jpeg import JpegImage
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
data_dir = templates_folder
with aspycore.as_of(Image.load(os.path.join(data_dir, "template.jpg")), JpegImage) as image:
	quality = image.jpeg_options.quality

print("quality", quality)