mirror of
https://github.com/PaddlePaddle/PaddleClas.git
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69 lines
2.1 KiB
C++
69 lines
2.1 KiB
C++
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// Copyright (c) 2020 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 "opencv2/core.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/imgproc.hpp"
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#include <chrono>
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#include <iomanip>
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#include <iostream>
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#include <ostream>
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#include <vector>
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#include <cstring>
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#include <fstream>
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#include <numeric>
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#include <include/cls.h>
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#include <include/config.h>
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using namespace std;
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using namespace cv;
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using namespace PaddleClas;
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int main(int argc, char **argv) {
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if (argc < 3) {
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std::cerr << "[ERROR] usage: " << argv[0]
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<< " configure_filepath image_path\n";
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exit(1);
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}
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Config config(argv[1]);
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config.PrintConfigInfo();
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std::string img_path(argv[2]);
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cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR);
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cv::cvtColor(srcimg, srcimg, cv::COLOR_BGR2RGB);
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Classifier classifier(config.cls_model_dir, config.use_gpu, config.gpu_id,
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config.gpu_mem, config.cpu_math_library_num_threads,
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config.use_mkldnn, config.use_zero_copy_run,
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config.resize_short_size, config.crop_size);
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auto start = std::chrono::system_clock::now();
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classifier.Run(srcimg);
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auto end = std::chrono::system_clock::now();
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auto duration =
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std::chrono::duration_cast<std::chrono::microseconds>(end - start);
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std::cout << "Cost "
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<< double(duration.count()) *
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std::chrono::microseconds::period::num /
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std::chrono::microseconds::period::den
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<< " s" << std::endl;
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return 0;
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}
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