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// Copyright (c) 2021 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.
#include <sstream>
// for setprecision
#include <chrono>
#include <iomanip>
#include "include/sde_predictor.h"
using namespace paddle_infer; // NOLINT
namespace PaddleDetection {
// Load Model and create model predictor
void SDEPredictor::LoadModel(const std::string& det_model_dir,
const std::string& reid_model_dir,
const std::string& run_mode) {
throw "Not Implement";
}
void SDEPredictor::Preprocess(const cv::Mat& ori_im) { throw "Not Implement"; }
void SDEPredictor::Postprocess(const cv::Mat dets,
const cv::Mat emb,
MOTResult* result) {
throw "Not Implement";
}
void SDEPredictor::Predict(const std::vector<cv::Mat> imgs,
const double threshold,
MOTResult* result,
std::vector<double>* times) {
throw "Not Implement";
}
} // namespace PaddleDetection
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