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	e7c6a9d346
	
	
	
		
			
			* 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.
		
			
				
	
	
		
			41 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			41 lines
		
	
	
		
			1.2 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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| 
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| #include "fastdeploy/vision.h"
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| 
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| int main() {
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|   namespace vis = fastdeploy::vision;
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|   auto model = vis::wongkinyiu::YOLOv7("yolov7.onnx");
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|   if (!model.Initialized()) {
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|     std::cerr << "Init Failed." << std::endl;
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|     return -1;
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|   }
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|   cv::Mat im = cv::imread("horses.jpg");
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|   cv::Mat vis_im = im.clone();
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| 
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|   vis::DetectionResult res;
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|   if (!model.Predict(&im, &res)) {
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|     std::cerr << "Prediction Failed." << std::endl;
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|     return -1;
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|   }
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| 
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|   // 输出预测框结果
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|   std::cout << res.Str() << std::endl;
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| 
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|   // 可视化预测结果
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|   vis::Visualize::VisDetection(&vis_im, res);
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|   cv::imwrite("vis_result.jpg", vis_im);
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|   return 0;
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| }
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