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import os
import joblib
from huggingface_hub import hf_hub_download
access_token_smpl = os.environ.get('HF_SMPL_TOKEN')
def get_smpl_models():
REPO_ID = 'athn-nik/smpl_models'
from huggingface_hub import snapshot_download
print(access_token_smpl)
# aaa = hf_hub_download(REPO_ID, filename="smplh/SMPLH_NEUTRAL.npz")
# print(aaa)
return snapshot_download(repo_id=REPO_ID, allow_patterns="smplh*",
token=access_token_smpl)
def download_models(ckpt_to_dl):
REPO_ID = 'athn-nik/example-model'
return hf_hub_download(REPO_ID, filename=f"{ckpt_to_dl}.ckpt")
def download_model_config(config_name):
REPO_ID = 'athn-nik/example-model'
path_to_config = hf_hub_download(REPO_ID, filename=f"{config_name}/.hydra/config.yaml")
from omegaconf import OmegaConf
model_cfg = OmegaConf.load(path_to_config)
return model_cfg
def download_motion_from_dataset(key_to_dl):
REPO_ID = 'athn-nik/example-model'
from huggingface_hub import snapshot_download
keytodl = key_to_dl
keytodl = '000008'
path_for_ds = snapshot_download(repo_id=REPO_ID,
allow_patterns=f"dataset_inputs/{keytodl}",
token=access_token_smpl)
path_for_ds_sample = path_for_ds + f'/dataset_inputs/{keytodl}.pth.tar'
return path_for_ds_sample
def download_tmr():
REPO_ID = 'athn-nik/example-model'
# return hf_hub_download(REPO_ID, filename="min_checkpoint.ckpt")
from huggingface_hub import snapshot_download
return snapshot_download(repo_id=REPO_ID, allow_patterns="tmr*",
token=access_token_smpl)
def download_motionfix():
REPO_ID = 'athn-nik/example-model'
# return hf_hub_download(REPO_ID, filename="min_checkpoint.ckpt")
from huggingface_hub import snapshot_download
return snapshot_download(repo_id=REPO_ID, allow_patterns="motionfix*",
token=access_token_smpl)
def download_motionfix_dataset():
REPO_ID = 'athn-nik/example-model'
dataset_downloaded_path = hf_hub_download(REPO_ID, filename="motionfix.pth.tar")
dataset_dict = joblib.load(dataset_downloaded_path)
return dataset_dict
def download_embeddings():
REPO_ID = 'athn-nik/example-model'
# return hf_hub_download(REPO_ID, filename="min_checkpoint.ckpt")
from huggingface_hub import snapshot_download
return snapshot_download(repo_id=REPO_ID, allow_patterns="embeddings*",
token=access_token_smpl)
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