# Copyright (c) 2022 PaddlePaddle Authors. 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. from __future__ import absolute_import from typing import Union, List import logging from .... import FastDeployModel, ModelFormat from .... import c_lib_wrap as C from .. import PPYOLOE class RKPicoDet(PPYOLOE): def __init__(self, model_file, params_file, config_file, runtime_option=None, model_format=ModelFormat.RKNN): """Load a PicoDet model exported by PaddleDetection. :param model_file: (str)Path of model file, e.g picodet/model.pdmodel :param params_file: (str)Path of parameters file, e.g picodet/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string :param config_file: (str)Path of configuration file for deployment, e.g ppyoloe/infer_cfg.yml :param runtime_option: (fastdeploy.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU :param model_format: (fastdeploy.ModelForamt)Model format of the loaded model """ super(PPYOLOE, self).__init__(runtime_option) assert model_format == ModelFormat.RKNN, "RKPicoDet model only support model format of ModelFormat.RKNN now." self._model = C.vision.detection.RKPicoDet( model_file, params_file, config_file, self._runtime_option, model_format) assert self.initialized, "RKPicoDet model initialize failed."