wilor/models/__init__.py

from .mano_wrapper import MANO
from .wilor import WiLoR

from .discriminator import Discriminator

def load_wilor(checkpoint_path, cfg_path):
    from pathlib import Path
    from wilor.configs import get_config
    print('Loading ', checkpoint_path)
    model_cfg = get_config(cfg_path, update_cachedir=True)

    # Override some config values, to crop bbox correctly
    if ('vit' in model_cfg.MODEL.BACKBONE.TYPE) and ('BBOX_SHAPE' not in model_cfg.MODEL):
        
        model_cfg.defrost()
        assert model_cfg.MODEL.IMAGE_SIZE == 256, f"MODEL.IMAGE_SIZE ({model_cfg.MODEL.IMAGE_SIZE}) should be 256 for ViT backbone"
        model_cfg.MODEL.BBOX_SHAPE = [192,256]
        model_cfg.freeze()

    # Update config to be compatible with demo
    if ('PRETRAINED_WEIGHTS' in model_cfg.MODEL.BACKBONE):
        model_cfg.defrost()
        model_cfg.MODEL.BACKBONE.pop('PRETRAINED_WEIGHTS')
        model_cfg.freeze()
        
        # Update config to be compatible with demo

    if ('DATA_DIR' in model_cfg.MANO):
        model_cfg.defrost()
        model_cfg.MANO.DATA_DIR    = './mano_data/'
        model_cfg.MANO.MODEL_PATH  = './mano_data/mano/'
        model_cfg.MANO.MEAN_PARAMS = './mano_data/mano_mean_params.npz'
        model_cfg.freeze()

    model = WiLoR.load_from_checkpoint(checkpoint_path, strict=False, cfg=model_cfg)
    return model, model_cfg