Created by: zhouyongxyz

单线程推理目前内存没有泄露，但是多线程依旧会有。修改depoly 下的代码如下: ` // 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.

#include "opencv2/core.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/imgproc.hpp" #include #include #include #include #include

#include #include #include

#include <include/config.h> #include <include/ocr_det.h> #include <include/ocr_rec.h> #include #include #include

using namespace std; using namespace cv; using namespace PaddleOCR;

pthread_mutex_t test_mutex;

int main(int argc, char **argv) { if (argc < 3) { std::cerr << "[ERROR] usage: " << argv[0] << " configure_filepath image_path\n"; exit(1); }

Config config(argv[1]);

config.PrintConfigInfo();

std::string img_path(argv[2]);

static cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR);

static DBDetector det(
  config.det_model_dir, config.use_gpu, config.gpu_id, config.gpu_mem,
  config.cpu_math_library_num_threads, config.use_mkldnn,
  config.use_zero_copy_run, config.max_side_len, config.det_db_thresh,
  config.det_db_box_thresh, config.det_db_unclip_ratio, config.visualize);
static CRNNRecognizer rec(config.rec_model_dir, config.use_gpu, config.gpu_id,
                 config.gpu_mem, config.cpu_math_library_num_threads,
                 config.use_mkldnn, config.use_zero_copy_run,
                 config.char_list_file);

pthread_mutex_init(&test_mutex, NULL);

for(static int i=0;i < 10;i++) {
    std::thread([](){

          std::cout << "Hello from lamda thread " << std::this_thread::get_id() << std::endl;
          auto start = std::chrono::system_clock::now();
          std::vector<std::vector<std::vector<int>>> boxes;
          
          pthread_mutex_lock(&test_mutex);
          det.Run(srcimg, boxes);

          rec.Run(boxes, srcimg);
          pthread_mutex_unlock(&test_mutex);

          auto end = std::chrono::system_clock::now();
          auto duration =
              std::chrono::duration_cast<std::chrono::microseconds>(end - start);
          std::cout << "i = "<< i << "  花费了"
                    << double(duration.count()) *
                           std::chrono::microseconds::period::num /
                           std::chrono::microseconds::period::den
                    << "秒" << std::endl;

        }).detach();

}

while(1);



return 0;

} `

按照官方的c++部署方式编译执行，会发现线程执行完了，内存也没有释放，持续增长。