How could I get the SMPL parameters?

[NewPhrexian]

After followed the instructions in README and sucessfully run the main_chat.py, I can't get any SMPL parameters or images.
The results are listed below:

(chatpose) zbw@node01:~/PoseGPT$ python main_chat.py --image_file dataset/baber.png
/home/zbw/anaconda3/envs/chatpose/lib/python3.9/site-packages/huggingface_hub/file_download.py:797: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
creating the SMPLX Decoder
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:09<00:00, 3.01s/it]
Some weights of ChatPoseForCausalLM were not initialized from the model checkpoint at YaoFeng/CHATPOSE-V0 and are newly initialized: ['model.smplx.dynamic_lmk_faces_idx', 'model.smplx.shape_params', 'model.smplx.expression_params', 'model.smplx.neck_pose', 'model.smplx.lbs_weights', 'model.smplx.v_template', 'model.smplx.eye_pose', 'model.smplx.head_pose', 'model.smplx.head_kin_chain', 'model.smplx.parents', 'model.smplx.left_hand_pose', 'model.smplx.right_hand_pose', 'model.smplx.lmk_faces_idx', 'model.smplx.J_regressor', 'model.smplx.faces_tensor', 'model.smplx.global_pose', 'model.smplx.shapedirs', 'model.smplx.posedirs', 'model.smplx.jaw_pose', 'model.smplx.body_pose', 'model.smplx.dynamic_lmk_bary_coords', 'model.smplx.lmk_bary_coords']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
USER: Please give the SMPL pose of this person.
/home/zbw/anaconda3/envs/chatpose/lib/python3.9/site-packages/transformers/generation/utils.py:1270: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation )
warnings.warn(
ASSISTANT: The SMPL pose of the person is [POSE] .
USER:

[EurusYu]

@NewPhrexian Hello my friend, sorry to bother you! I am also working on learning this project recently, but I ran into some issues while trying to reproduce it. I was wondering if you managed to reproduce it successfully? If so, would you be open to further discussion? Thank you very much!