import torch

from ..utils import load_file_from_url
from .bisenet import BiSeNet
from .parsenet import ParseNet


def init_parsing_model(
    model_name="bisenet", half=False, device="cuda", model_rootpath=None
):
    if model_name == "bisenet":
        model = BiSeNet(num_class=19)
        model_url = "https://github.com/xinntao/facexlib/releases/download/v0.2.0/parsing_bisenet.pth"
    elif model_name == "parsenet":
        model = ParseNet(in_size=512, out_size=512, parsing_ch=19)
        model_url = "https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth"
    else:
        raise NotImplementedError(f"{model_name} is not implemented.")

    model_path = load_file_from_url(
        url=model_url,
        model_dir="facexlib/weights",
        progress=True,
        file_name=None,
        save_dir=model_rootpath,
    )
    load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
    model.load_state_dict(load_net, strict=True)
    model.eval()
    model = model.to(device)
    return model