PaddleX/paddlex/modules/predictor.py

# copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
#
# 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.

from copy import deepcopy
from ..inference.models import create_model
from ..inference.utils.pp_option import PaddlePredictorOption
from ..utils.config import AttrDict


class Predictor(object):
    def __init__(self, config):
        model_name = config.Global.model
        self.predict_config = deepcopy(config.Predict)

        model_dir = self.predict_config.pop("model_dir", None)
        # if model_dir is None, using official
        model = model_name if model_dir is None else model_dir
        self.input_path = self.predict_config.pop("input_path")
        self.pp_option = PaddlePredictorOption(
            **self.predict_config.pop("kernel_option", {})
        )
        self.model = create_model(model)

    def predict(self):
        for res in self.model(
            input=self.input_path, pp_option=self.pp_option, **self.predict_config
        ):
            res.print(json_format=False)


def build_predictor(config: AttrDict):
    """build predictor by config for dev"""
    return Predictor(config)