mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
fc71d79e58
* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * Add YOLOv5Face Model support * fixed examples/vision typos * fixed runtime_option print func bugs
41 lines
1.3 KiB
C++
41 lines
1.3 KiB
C++
// 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::deepcam::YOLOv5Face("yolov5s-face.onnx");
|
|
if (!model.Initialized()) {
|
|
std::cerr << "Init Failed." << std::endl;
|
|
return -1;
|
|
}
|
|
cv::Mat im = cv::imread("test.jpg");
|
|
cv::Mat vis_im = im.clone();
|
|
|
|
vis::FaceDetectionResult res;
|
|
if (!model.Predict(&im, &res, 0.1f, 0.3f)) {
|
|
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::VisFaceDetection(&vis_im, res, 2, 0.3f);
|
|
cv::imwrite("vis_result.jpg", vis_im);
|
|
return 0;
|
|
}
|