Run py using your original raw code without any amendment

[cheechochoy]

Hi Ferman,
Tried to understand how your code works. Appreciate if you can let me know what could have caused this error. TQ!

Traceback (most recent call last):
File "C:\Users\cc_ch\PycharmProjects\vorMonitoring\testanimation.py", line 86, in
start_processes()
File "C:\Users\cc_ch\PycharmProjects\vorMonitoring\testanimation.py", line 80, in start_processes
p.start()
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_thread.lock' object
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\cc_ch\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input

[fermanjj]

@cheechochoy I wrote this code 6+ years ago. I was probably still running Python 2.7 at the time. If you want, you're welcome to take a stab at updating it. Unfortunately at this point, I don't see the worth for me in updating this as it's not used by anyone and it's really just here as some starter example code.

It looks like based on this issue and the one from #1 that something changed with the way multiprocessing is done in Python 3.