mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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81eaeddbd0
* support trt installed in sys dir * streamer init * link elements and run * create source bin * add config * restruct dirs * set property * link elements * integrate perf * add bbox parser * parse yaml to string, video decoder * use try pull for decoder and nits * streamer ppyoloe cpp * update readme * video decoder cpp dir * add cn readme * update readme * cmake nits * refactor perf measurement
44 lines
1.4 KiB
C++
44 lines
1.4 KiB
C++
// Copyright (c) 2022 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 "fd_streamer.h"
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#include "fastdeploy/utils/perf.h"
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#include <opencv2/opencv.hpp>
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int main(int argc, char* argv[]) {
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auto streamer = fastdeploy::streamer::FDStreamer();
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streamer.Init("streamer_cfg.yml");
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streamer.RunAsync();
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int count = 0;
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fastdeploy::FDTensor tensor;
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fastdeploy::TimeCounter tc;
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tc.Start();
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while (1) {
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bool ret = streamer.TryPullFrame(tensor);
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if (!ret) {
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if (streamer.Destroyed()) break;
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std::this_thread::sleep_for(std::chrono::milliseconds(1));
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continue;
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}
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count++;
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tensor.PrintInfo();
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cv::Mat mat(tensor.shape[0], tensor.shape[1], CV_8UC3, tensor.Data());
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cv::imwrite("out/" + std::to_string(count) + ".jpg", mat);
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}
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std::cout << "Total number of frames: " << count << std::endl;
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tc.End();
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tc.PrintInfo();
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return 0;
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}
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