test.py

from mmpose.apis import MMPoseInferencer
import os 

people_list = [fold.split("_")[1] for fold in os.listdir('download/mmpose/work_dirs/rtmpose-l_8xb256-420e_coco-256x192')]

img_path = 'dataset'
for person in people_list:

    file_list = os.listdir(f'download/mmpose/work_dirs/rtmpose-l_8xb256-420e_coco-256x192/EPE_{person}')
    
    for files in file_list:
        if "best_EPE_epoch" in files:
            file = files
            break

    inferencer = MMPoseInferencer(
        pose2d_weights=f'download/mmpose/work_dirs/rtmpose-l_8xb256-420e_coco-256x192/EPE_{person}/{file}',
        det_model='rtmpose-l_8xb256-420e_coco-256x192',
        det_cat_ids=[0]
    )
    
    List = os.listdir(img_path)
    os.makedirs(f"{person}")
    for jpg in List:
        if person in jpg:
            result_generator = inferencer(img_path + f'/{jpg}', show=False, vis_out_dir= f"{person}")
            result = next(result_generator)