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import numpy as np
import multiprocessing
def get_scenes_per_thread(scenes, thread_num):
scenes = sorted(scenes)
num_tasks = thread_num
cur_id = int(multiprocessing.current_process().name)
num_scene = len(scenes)
a = num_scene // num_tasks
b = num_scene % num_tasks
if cur_id == 0:
print("num_scene:", num_scene)
process_num = []
for id in range(num_tasks):
if id >= b:
process_num.append(a)
else:
process_num.append(a + 1)
addsum = np.cumsum(process_num)
if cur_id == 0:
start = 0
end = addsum[0]
else:
start = addsum[cur_id - 1]
end = addsum[cur_id]
return scenes[start:end], start
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