mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
50 lines
1.5 KiB
C++
50 lines
1.5 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 "fastdeploy/vision.h"
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int main() {
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auto model = fastdeploy::vision::ultralytics::YOLOv5("yolov5s.onnx");
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model.EnableDebug();
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if (!model.Initialized()) {
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std::cout << "Init Failed." << std::endl;
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return -1;
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}
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cv::Mat im = cv::imread("bus.jpg");
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for (size_t i = 0; i < 10; ++i) {
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auto im1 = im.clone();
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fastdeploy::vision::DetectionResult res;
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if (!model.Predict(&im1, &res)) {
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std::cout << "Predict Failed." << std::endl;
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return -1;
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}
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}
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{
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fastdeploy::vision::DetectionResult res;
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auto vis_im = im.clone();
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if (!model.Predict(&im, &res)) {
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std::cout << "Predict Failed." << std::endl;
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return -1;
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}
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fastdeploy::vision::Visualize::VisDetection(&vis_im, res);
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cv::imwrite("vis.jpg", vis_im);
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// Print Detection Result
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std::cout << res.Str() << std::endl;
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}
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return 0;
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}
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