# Copyright 2021 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os

import torch

from towhee.models.retina_face.retinaface import RetinaFace
from towhee.models.retina_face.configs import build_configs
from towhee.models.utils.pretrained_utils import load_pretrained_weights

class Model:
    """
    Pytorch model class
    """
    def __init__(self):
        model_name = 'cfg_mnet'
        cfg = build_configs(model_name)
        self._model = RetinaFace(cfg=cfg, phase='test')
        load_pretrained_weights(self._model, 'mnet', None, os.path.dirname(__file__) + '/pytorch_retinaface_mobilenet_widerface.pth')
        self._model.eval()

    def __call__(self, img_tensor: torch.Tensor):
        outputs = self._model.inference(img_tensor)
        return outputs

    def train(self):
        """
        For training model
        """
        pass