[Bug]: `simplejpeg` Incompatibility with `numpy` Version `>= 2.0.0`

[abhiTronix]

Description

The backend simplejpeg library used in our WebGear and NetGear APIs primarily for frame compression, is not compatible with the newer versions of numpy (>= 2.0.0). The recent changes in numpy have introduced modifications that cause issues with the simplejpeg Turbo C API.

Issue Checklist

• [X] I have searched open or closed issues for my problem and found nothing related or helpful.
• [X] I have read the Documentation and found nothing related to my problem.
• [X] I've read the Issue Guidelines and wholeheartedly agree.

Expected behaviour

import simplejpeg should work out of the box

Actual behaviour

Currently, importing simplejpeg throws the following error:

>>> import simplejpeg
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Abhishek Thakur\AppData\Roaming\Python\Python310\site-packages\simplejpeg\__init__.py", line 1, in <module>
    from ._jpeg import encode_jpeg
  File "simplejpeg\\_jpeg.pyx", line 1, in init simplejpeg._jpeg
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

Steps to reproduce

• Install numpy>=2.0.0 and simplejpeg
• Call import simplejpeg

Terminal log output

>>> import simplejpeg
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Abhishek Thakur\AppData\Roaming\Python\Python310\site-packages\simplejpeg\__init__.py", line 1, in <module>
    from ._jpeg import encode_jpeg
  File "simplejpeg\\_jpeg.pyx", line 1, in init simplejpeg._jpeg
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

Python Code(Optional)

No response

VidGear Version

0.3.3

Python version

any

OpenCV version

latest

Operating System version

any

Any other Relevant Information?

https://github.com/jfolz/simplejpeg/issues/2

[abhiTronix]

Workaround

As a workaround, downgrading numpy to a version <2.0.0 works for now. If you want to use simplejpeg, you can downgrade numpy before installing vidgear:

# Downgrade numpy to <2.0.0
pip install "numpy<2.0.0"

# Install vidgear core
pip install vidgear[core]

# Or install vidgear asyncio
pip install vidgear[asyncio]

[abhiTronix]

This issue is fixed with simplejpeg version 1.74.