Python: How to check if JPG has clipping path?

Question

is there a solution to check if a JPG file has a clipping path?

I know I can do it for example with ImageMagick CLI magick identify -verbose but my target solution should be way easier: Running a tkinter app and the user selects the image, Python checks if this image has 1 or many clipping paths and tkinter returns the information.

I tried exifread but without success, looks like it can't check clipping paths.

here are 2 images with clipping paths: https://github.com/pimcore/pimcore/files/4009504/images.zip

Answer 1

Here's a way to search for Adobe Resources, i.e. 8BIM stuff, in a JPEG file without requiring any external packages, i.e. pure Python. It maps the file and searches for specified (arbitrary) binary sequences:

#!/usr/bin/env python3

import re
import mmap
import struct

def CheckFile(filename):
    """Check if the specified file contains Adobe Photoshop Resources, i.e. 8BIM stuff"""

    # Regex to match Adobe Resource, i.e. "8BIM" plus 2 bytes
    AdobeResource = b'8BIM..'

    print(f'Opening file: "{filename}"')
    with open(filename, 'r+b') as f:
        print(f'Mapping file for read')
        with mmap.mmap(f.fileno(), length=0, access=mmap.ACCESS_READ) as mm:
            # Check file is a valid JPEG, i.e. first 2 bytes are "ff d8"
            if mm[:2] != b'\xff\xd8':
                print('Error: Not a JPEG file')
                return
            # Search for all 8BIMs, using re.DOTALL to match ANY byte
            for resource in re.findall(AdobeResource, mm, flags=re.DOTALL):
                # Resource ID is big-endian unsigned short, so unpack to decimal
                ResourceID = struct.unpack('>H', resource[4:6])[0]
                print(f'Resource ID: {ResourceID}')

CheckFile('338-55.jpg')
CheckFile('567-53.jpg')

---

Using your two supplied files as examples, we get:

Opening file: "338-55.jpg"
Mapping file for read
Resource ID: 1028
Resource ID: 1061
Resource ID: 1082
Resource ID: 1083
Resource ID: 1005
Resource ID: 1062
Resource ID: 1037
Resource ID: 1049
Resource ID: 1011
Resource ID: 1034
Resource ID: 10000
Resource ID: 1013
Resource ID: 1016
Resource ID: 1032
Resource ID: 1054
Resource ID: 1050
Resource ID: 1064
Resource ID: 1044
Resource ID: 1036
Resource ID: 1057
Resource ID: 1088
Resource ID: 2000    <--- Clipping path
Resource ID: 3000
Resource ID: 2999    <--- Clipping path name
Resource ID: 1030
Opening file: "567-53.jpg"
Mapping file for read
Resource ID: 1028
Resource ID: 1061
Resource ID: 1082
Resource ID: 1083
Resource ID: 1005
Resource ID: 1062
Resource ID: 1037
Resource ID: 1049
Resource ID: 1011
Resource ID: 1034
Resource ID: 10000
Resource ID: 1013
Resource ID: 1016
Resource ID: 1032
Resource ID: 1054
Resource ID: 1050
Resource ID: 1064
Resource ID: 1044
Resource ID: 1036
Resource ID: 1057
Resource ID: 1088
Resource ID: 2000    <--- Clipping path
Resource ID: 3000
Resource ID: 2999    <--- Clipping path name
Resource ID: 1030

Answer 2

As per this post:

one has to search within the binary image data: '8BIM\x0b\xb7'

If you find those 6 bytes (0x38 42 49 4d 0b b7) where the first 4 are the ASCII letters 8BIM and the last 2 are a 16-bit big endian word=short for the value of 2999 then you found a clipping path name. Adobe's path resource format explains:

If the file contains a resource of type 8BIM with an ID of 2999, then this resource contains a Pascal-style string containing the name of the clipping path to use with this image when saving it as an EPS file. 4 byte fixed value for flatness and 2 byte fill rule. 0 = same fill rule, 1 = even odd fill rule, 2 = non zero winding fill rule. The fill rule is ignored by Photoshop.

Actual clipping path data=info is then saved in an 8BIM with an ID of f.e. 2000 (that is 0x38 42 49 4d 07 d0) - as per Image Resource IDs in the docs:

ID hex	ID decimal	Description
0x07D0-0x0BB6	2000-2997	Path Information (saved paths).
0x0BB7	2999	Name of clipping path.

All this is stored in an APP13 segment (0xff ed) with the identification Photoshop 3.0\0 - a traditional place for 8BIMs. So:

1. Just parse the JFIF for all its segments.
2. If an APP13 segment exists then scan its content.
3. If in there an 8BIM resource exists with the ID 2999 then there is most likely also a resource with an ID between 2000 and 2997 that has the actual clipping data for that clipping name.

Answer 3

In Imagemagick if you do

convert image.jpg -format '%[8BIM:1999,2998:#1]' info:

if there is no clip path, you will get a warning message:

convert: unknown image property "%[8BIM:1999,2998:#1]" @ warning/property.c/InterpretImageProperties/4120.

If the image has a clip path, then it will be returned. For example:

convert 338-55.jpg -format '%[8BIM:1999,2998:#1]' info:

<?xml version="1.0" encoding="iso-8859-1"?>
<svg xmlns="http://www.w3.org/2000/svg" width="1830" height="1684">
<g>
<path fill-rule="evenodd" style="fill:#000000;stroke:#000000;stroke-width:0;stroke-antialiasing:false" d="
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"/>
</g>
</svg>

This would be easier than parsing the identify verbose command on the image.

So you could use a Python subprocess call to this imagemagick command or you could use Python Wand, which uses Imagemagick.

ADDITION

For a given image, in Python Wand

from wand.image import Image
with Image(filename='image_clip_path.jpg') as img:
  img.options['format'] = '%[8BIM:1999,2998:#1]'
  print(img.make_blob('INFO'))

Prints

b'<?xml version="1.0" encoding="iso-8859-1"?>\n<svg xmlns="http://www.w3.org/2000/svg" width="1830" height="1684">\n<g>\n<path fill-rule="evenodd" style="fill:#000000;stroke:#000000;stroke-width:0;stroke-antialiasing:false" d="\nM 1265.17 120.776\nC 1263.92 84.9753 1262.66 81.2068 1262.66 81.2068\nC 1262.66 81.2068 1255.75 79.3225 1255.75 64.2485\nC 1255.75 49.1744 1257.01 49.1744 1258.89 46.6622\nC 1260.78 44.1498 1267.69 43.5217 1270.2 37.8691\nC 1272.71 32.2163 1272.71 17.1422 1282.13 14.6299\nC 1291.55 12.1176 1319.19 12.1181 1319.19 12.1181\nC 1319.19 12.1181 1319.82 5.83676 1355.62 4.58058\nC 1391.42 3.32449 1665.91 4.58058 1665.91 4.58058\nC 1665.91 4.58058 1674.7 14.6299 1684.13 14.6299\nC 1693.55 14.6299 1707.99 12.1176 1711.13 18.3984\nC 1714.28 24.6793 1716.16 29.7039 1718.04 32.8443\nC 1719.93 35.9848 1734.38 176.675 1734.38 176.675\nC 1734.38 176.675 1747.57 312.97 1749.45 318.622\nC 1751.33 324.275 1754.47 330.556 1751.33 338.721\nC 1748.19 346.886 1752.59 352.539 1748.82 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