Python Forum

Hello,
I'm working on a program to interpolate video frames taking advantage of multithreading or multiprocessing to better take advantage of the idle cpu and gpu times i saw while monitoring.
The function i want to run in parallel or at least with multithreading looks like this at the moment:

def interpolate(thread_id):
	total_sections = 100
	section_index = 0
	if thread_id == 1:
		section_index += 1 
	start_frame = 1
	final_frame = 24
	while section_index < total_sections:
		while start_frame < final_frame:
			#do the interpolation here
			start_frame += 1
		section_index += 2
	
	
id = 0
interpolateT0 = multithreading.Thread(target=interpolate, args=(id,))
id = 1
interpolateT1 = multithreading.Thread(target=interpolate, args=(id,))

interpolateT0.start()
time.sleep(4)
interpolateT1.start()			

The point is that thread 1 starts with a offset of 1 for the section index, and also +2 is added instead of +1 to the section index so that essentialy thread 0 does sections with pair index number and thread 1 does those with odd numbers.

But i don't think this will work because the both threads will update the same values and everything will get out of place. That's why i thought that using multiprocessing would be better? But it seems that using the debugger for multiprocessing is not possible?
any help?
thanks