| 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 | |