Files
FastDeploy/model_zoo/vision/yolov7/cpp/yolov7.cc
ziqi-jin e7c6a9d346 Add model YOLOv7 support (#23)
* first commit for yolov7

* pybind for yolov7

* CPP README.md

* CPP README.md

* modified yolov7.cc

* README.md

* python file modify

* delete license in fastdeploy/

* repush the conflict part

* README.md modified

* README.md modified

* file path modified

* file path modified

* file path modified

* file path modified

* file path modified

* README modified

* README modified

* move some helpers to private

* add examples for yolov7

* api.md modified

* api.md modified

* api.md modified

* YOLOv7

* yolov7 release link

* yolov7 release link

* yolov7 release link

* copyright

* change some helpers to private

* change variables to const and fix documents.
2022-07-19 11:17:33 +08:00

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// Copyright (c) 2022 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 "fastdeploy/vision.h"
int main() {
namespace vis = fastdeploy::vision;
auto model = vis::wongkinyiu::YOLOv7("yolov7.onnx");
if (!model.Initialized()) {
std::cerr << "Init Failed." << std::endl;
return -1;
}
cv::Mat im = cv::imread("horses.jpg");
cv::Mat vis_im = im.clone();
vis::DetectionResult res;
if (!model.Predict(&im, &res)) {
std::cerr << "Prediction Failed." << std::endl;
return -1;
}
// 输出预测框结果
std::cout << res.Str() << std::endl;
// 可视化预测结果
vis::Visualize::VisDetection(&vis_im, res);
cv::imwrite("vis_result.jpg", vis_im);
return 0;
}