更换文档检测模型
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172
paddle_detection/deploy/pptracking/cpp/src/main.cc
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172
paddle_detection/deploy/pptracking/cpp/src/main.cc
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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <glog/logging.h>
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#include <math.h>
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#include <sys/types.h>
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#include <algorithm>
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#include <iostream>
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#include <numeric>
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#include <string>
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#include <vector>
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#ifdef _WIN32
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#include <direct.h>
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#include <io.h>
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#else
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#include <stdarg.h>
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#include <sys/stat.h>
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#endif
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#include <gflags/gflags.h>
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#include "include/pipeline.h"
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DEFINE_string(video_file, "", "Path of input video.");
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DEFINE_string(video_other_file,
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"",
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"Path of other input video used for MTMCT.");
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DEFINE_string(device,
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"CPU",
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"Choose the device you want to run, it can be: CPU/GPU/XPU, "
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"default is CPU.");
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DEFINE_double(threshold, 0.5, "Threshold of score.");
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DEFINE_string(output_dir, "output", "Directory of output visualization files.");
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DEFINE_string(run_mode,
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"paddle",
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"Mode of running(paddle/trt_fp32/trt_fp16/trt_int8)");
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DEFINE_int32(gpu_id, 0, "Device id of GPU to execute");
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DEFINE_bool(use_mkldnn, false, "Whether use mkldnn with CPU");
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DEFINE_int32(cpu_threads, 1, "Num of threads with CPU");
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DEFINE_bool(trt_calib_mode,
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false,
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"If the model is produced by TRT offline quantitative calibration, "
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"trt_calib_mode need to set True");
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DEFINE_bool(tiny_obj, false, "Whether tracking tiny object");
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DEFINE_bool(do_entrance_counting,
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false,
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"Whether counting the numbers of identifiers entering "
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"or getting out from the entrance.");
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DEFINE_int32(secs_interval, 10, "The seconds interval to count after tracking");
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DEFINE_bool(save_result, false, "Whether saving result after tracking");
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DEFINE_string(
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scene,
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"",
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"scene of tracking system, it can be : pedestrian/vehicle/multiclass");
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DEFINE_bool(is_mtmct, false, "Whether use multi-target multi-camera tracking");
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DEFINE_string(track_model_dir, "", "Path of tracking model");
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DEFINE_string(det_model_dir, "", "Path of detection model");
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DEFINE_string(reid_model_dir, "", "Path of reid model");
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static std::string DirName(const std::string& filepath) {
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auto pos = filepath.rfind(OS_PATH_SEP);
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if (pos == std::string::npos) {
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return "";
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}
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return filepath.substr(0, pos);
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}
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static bool PathExists(const std::string& path) {
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#ifdef _WIN32
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struct _stat buffer;
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return (_stat(path.c_str(), &buffer) == 0);
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#else
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struct stat buffer;
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return (stat(path.c_str(), &buffer) == 0);
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#endif // !_WIN32
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}
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static void MkDir(const std::string& path) {
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if (PathExists(path)) return;
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int ret = 0;
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#ifdef _WIN32
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ret = _mkdir(path.c_str());
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#else
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ret = mkdir(path.c_str(), 0755);
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#endif // !_WIN32
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if (ret != 0) {
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std::string path_error(path);
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path_error += " mkdir failed!";
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throw std::runtime_error(path_error);
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}
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}
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static void MkDirs(const std::string& path) {
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if (path.empty()) return;
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if (PathExists(path)) return;
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MkDirs(DirName(path));
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MkDir(path);
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}
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int main(int argc, char** argv) {
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// Parsing command-line
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google::ParseCommandLineFlags(&argc, &argv, true);
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bool has_model_dir =
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!(FLAGS_track_model_dir.empty() && FLAGS_det_model_dir.empty() &&
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FLAGS_reid_model_dir.empty());
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if (FLAGS_video_file.empty() || (FLAGS_scene.empty() && !has_model_dir)) {
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LOG(ERROR) << "Usage: \n"
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<< "1. ./main -video_file=/PATH/TO/INPUT/IMAGE/ "
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<< "-scene=pedestrian/vehicle/multiclass\n"
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<< "2. ./main -video_file=/PATH/TO/INPUT/IMAGE/ "
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<< "-track_model_dir=/PATH/TO/MODEL_DIR" << std::endl;
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return -1;
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}
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if (!(FLAGS_run_mode == "paddle" || FLAGS_run_mode == "trt_fp32" ||
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FLAGS_run_mode == "trt_fp16" || FLAGS_run_mode == "trt_int8")) {
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LOG(ERROR)
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<< "run_mode should be 'paddle', 'trt_fp32', 'trt_fp16' or 'trt_int8'.";
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return -1;
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}
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transform(FLAGS_device.begin(),
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FLAGS_device.end(),
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FLAGS_device.begin(),
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::toupper);
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if (!(FLAGS_device == "CPU" || FLAGS_device == "GPU" ||
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FLAGS_device == "XPU")) {
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LOG(ERROR) << "device should be 'CPU', 'GPU' or 'XPU'.";
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return -1;
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}
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if (!PathExists(FLAGS_output_dir)) {
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MkDirs(FLAGS_output_dir);
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}
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PaddleDetection::Pipeline pipeline(FLAGS_device,
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FLAGS_threshold,
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FLAGS_output_dir,
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FLAGS_run_mode,
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FLAGS_gpu_id,
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FLAGS_use_mkldnn,
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FLAGS_cpu_threads,
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FLAGS_trt_calib_mode,
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FLAGS_do_entrance_counting,
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FLAGS_save_result,
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FLAGS_scene,
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FLAGS_tiny_obj,
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FLAGS_is_mtmct,
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FLAGS_secs_interval,
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FLAGS_track_model_dir,
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FLAGS_det_model_dir,
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FLAGS_reid_model_dir);
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pipeline.SetInput(FLAGS_video_file);
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if (!FLAGS_video_other_file.empty()) {
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pipeline.SetInput(FLAGS_video_other_file);
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}
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pipeline.Run();
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return 0;
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}
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