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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.
#pragma once
#include <ctime>
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "paddle_inference_api.h" // NOLINT
#include "include/config_parser.h"
#include "include/jde_predictor.h"
#include "include/preprocess_op.h"
#include "include/sde_predictor.h"
using namespace paddle_infer; // NOLINT
namespace PaddleDetection {
class Predictor {
public:
explicit Predictor(const std::string& device = "CPU",
const std::string& track_model_dir = "",
const std::string& det_model_dir = "",
const std::string& reid_model_dir = "",
const double threshold = -1.,
const std::string& run_mode = "paddle",
const int gpu_id = 0,
const bool use_mkldnn = false,
const int cpu_threads = 1,
bool trt_calib_mode = false,
const int min_box_area = 200) {
if (track_model_dir.empty() && det_model_dir.empty()) {
throw "Predictor must receive track_model or det_model!";
}
if (!track_model_dir.empty() && !det_model_dir.empty()) {
throw "Predictor only receive one of track_model or det_model!";
}
if (!track_model_dir.empty()) {
jde_sct_ =
std::make_shared<PaddleDetection::JDEPredictor>(device,
track_model_dir,
threshold,
run_mode,
gpu_id,
use_mkldnn,
cpu_threads,
trt_calib_mode,
min_box_area);
use_jde_ = true;
}
if (!det_model_dir.empty()) {
sde_sct_ = std::make_shared<PaddleDetection::SDEPredictor>(device,
det_model_dir,
reid_model_dir,
threshold,
run_mode,
gpu_id,
use_mkldnn,
cpu_threads,
trt_calib_mode,
min_box_area);
use_jde_ = false;
}
}
// Run predictor
void Predict(const std::vector<cv::Mat> imgs,
const double threshold = 0.5,
MOTResult* result = nullptr,
std::vector<double>* times = nullptr);
private:
std::shared_ptr<PaddleDetection::JDEPredictor> jde_sct_;
std::shared_ptr<PaddleDetection::SDEPredictor> sde_sct_;
bool use_jde_ = true;
};
} // namespace PaddleDetection
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