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- // Copyright (c) 2020 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.
- #pragma once
- #include <functional>
- #include <iostream>
- #include <numeric>
- #include "yaml-cpp/yaml.h"
- #ifdef _WIN32
- #define OS_PATH_SEP "\\"
- #else
- #define OS_PATH_SEP "/"
- #endif
- #include "paddle_inference_api.h" // NOLINT
- #include "include/paddlex/config_parser.h"
- #include "include/paddlex/results.h"
- #include "include/paddlex/transforms.h"
- namespace PaddleX {
- class Model {
- public:
- void Init(const std::string& model_dir,
- bool use_gpu = false,
- bool use_trt = false,
- int gpu_id = 0) {
- create_predictor(model_dir, use_gpu, use_trt, gpu_id);
- }
- void create_predictor(const std::string& model_dir,
- bool use_gpu = false,
- bool use_trt = false,
- int gpu_id = 0);
- bool load_config(const std::string& model_dir);
- bool preprocess(const cv::Mat& input_im, ImageBlob* blob);
- bool predict(const cv::Mat& im, ClsResult* result);
- bool predict(const cv::Mat& im, DetResult* result);
- bool predict(const cv::Mat& im, SegResult* result);
- bool postprocess(SegResult* result);
- bool postprocess(DetResult* result);
- std::string type;
- std::string name;
- std::map<int, std::string> labels;
- Transforms transforms_;
- ImageBlob inputs_;
- std::vector<float> outputs_;
- std::unique_ptr<paddle::PaddlePredictor> predictor_;
- };
- } // namespce of PaddleX
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