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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 <glog/logging.h>
#include <math.h>
#include <sys/types.h>
#include <algorithm>
#include <iostream>
#include <numeric>
#include <string>
#include <vector>
#ifdef _WIN32
#include <direct.h>
#include <io.h>
#else
#include <stdarg.h>
#include <sys/stat.h>
#endif
#include <gflags/gflags.h>
#include "include/pipeline.h"
DEFINE_string(video_file, "", "Path of input video.");
DEFINE_string(video_other_file,
"",
"Path of other input video used for MTMCT.");
DEFINE_string(device,
"CPU",
"Choose the device you want to run, it can be: CPU/GPU/XPU, "
"default is CPU.");
DEFINE_double(threshold, 0.5, "Threshold of score.");
DEFINE_string(output_dir, "output", "Directory of output visualization files.");
DEFINE_string(run_mode,
"paddle",
"Mode of running(paddle/trt_fp32/trt_fp16/trt_int8)");
DEFINE_int32(gpu_id, 0, "Device id of GPU to execute");
DEFINE_bool(use_mkldnn, false, "Whether use mkldnn with CPU");
DEFINE_int32(cpu_threads, 1, "Num of threads with CPU");
DEFINE_bool(trt_calib_mode,
false,
"If the model is produced by TRT offline quantitative calibration, "
"trt_calib_mode need to set True");
DEFINE_bool(tiny_obj, false, "Whether tracking tiny object");
DEFINE_bool(do_entrance_counting,
false,
"Whether counting the numbers of identifiers entering "
"or getting out from the entrance.");
DEFINE_int32(secs_interval, 10, "The seconds interval to count after tracking");
DEFINE_bool(save_result, false, "Whether saving result after tracking");
DEFINE_string(
scene,
"",
"scene of tracking system, it can be : pedestrian/vehicle/multiclass");
DEFINE_bool(is_mtmct, false, "Whether use multi-target multi-camera tracking");
DEFINE_string(track_model_dir, "", "Path of tracking model");
DEFINE_string(det_model_dir, "", "Path of detection model");
DEFINE_string(reid_model_dir, "", "Path of reid model");
static std::string DirName(const std::string& filepath) {
auto pos = filepath.rfind(OS_PATH_SEP);
if (pos == std::string::npos) {
return "";
}
return filepath.substr(0, pos);
}
static bool PathExists(const std::string& path) {
#ifdef _WIN32
struct _stat buffer;
return (_stat(path.c_str(), &buffer) == 0);
#else
struct stat buffer;
return (stat(path.c_str(), &buffer) == 0);
#endif // !_WIN32
}
static void MkDir(const std::string& path) {
if (PathExists(path)) return;
int ret = 0;
#ifdef _WIN32
ret = _mkdir(path.c_str());
#else
ret = mkdir(path.c_str(), 0755);
#endif // !_WIN32
if (ret != 0) {
std::string path_error(path);
path_error += " mkdir failed!";
throw std::runtime_error(path_error);
}
}
static void MkDirs(const std::string& path) {
if (path.empty()) return;
if (PathExists(path)) return;
MkDirs(DirName(path));
MkDir(path);
}
int main(int argc, char** argv) {
// Parsing command-line
google::ParseCommandLineFlags(&argc, &argv, true);
bool has_model_dir =
!(FLAGS_track_model_dir.empty() && FLAGS_det_model_dir.empty() &&
FLAGS_reid_model_dir.empty());
if (FLAGS_video_file.empty() || (FLAGS_scene.empty() && !has_model_dir)) {
LOG(ERROR) << "Usage: \n"
<< "1. ./main -video_file=/PATH/TO/INPUT/IMAGE/ "
<< "-scene=pedestrian/vehicle/multiclass\n"
<< "2. ./main -video_file=/PATH/TO/INPUT/IMAGE/ "
<< "-track_model_dir=/PATH/TO/MODEL_DIR" << std::endl;
return -1;
}
if (!(FLAGS_run_mode == "paddle" || FLAGS_run_mode == "trt_fp32" ||
FLAGS_run_mode == "trt_fp16" || FLAGS_run_mode == "trt_int8")) {
LOG(ERROR)
<< "run_mode should be 'paddle', 'trt_fp32', 'trt_fp16' or 'trt_int8'.";
return -1;
}
transform(FLAGS_device.begin(),
FLAGS_device.end(),
FLAGS_device.begin(),
::toupper);
if (!(FLAGS_device == "CPU" || FLAGS_device == "GPU" ||
FLAGS_device == "XPU")) {
LOG(ERROR) << "device should be 'CPU', 'GPU' or 'XPU'.";
return -1;
}
if (!PathExists(FLAGS_output_dir)) {
MkDirs(FLAGS_output_dir);
}
PaddleDetection::Pipeline pipeline(FLAGS_device,
FLAGS_threshold,
FLAGS_output_dir,
FLAGS_run_mode,
FLAGS_gpu_id,
FLAGS_use_mkldnn,
FLAGS_cpu_threads,
FLAGS_trt_calib_mode,
FLAGS_do_entrance_counting,
FLAGS_save_result,
FLAGS_scene,
FLAGS_tiny_obj,
FLAGS_is_mtmct,
FLAGS_secs_interval,
FLAGS_track_model_dir,
FLAGS_det_model_dir,
FLAGS_reid_model_dir);
pipeline.SetInput(FLAGS_video_file);
if (!FLAGS_video_other_file.empty()) {
pipeline.SetInput(FLAGS_video_other_file);
}
pipeline.Run();
return 0;
}
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