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https://github.com/PaddlePaddle/FastDeploy.git
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beaa0fd190
* Add namespace for functions * Refactor PaddleDetection module * finish all the single image test * Update preprocessor.cc * fix some litte detail * add python api * Update postprocessor.cc
36 lines
1.4 KiB
C++
36 lines
1.4 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 <pybind11/stl.h>
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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy {
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void BindPPTinyPosePipeline(pybind11::module& m) {
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pybind11::class_<pipeline::PPTinyPose>(m, "PPTinyPose")
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.def(pybind11::init<fastdeploy::vision::detection::PicoDet*,
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fastdeploy::vision::keypointdetection::PPTinyPose*>())
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.def("predict", [](pipeline::PPTinyPose& self,
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pybind11::array& data) {
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auto mat = PyArrayToCvMat(data);
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vision::KeyPointDetectionResult res;
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self.Predict(&mat, &res);
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return res;
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})
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.def_readwrite("detection_model_score_threshold",
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&pipeline::PPTinyPose::detection_model_score_threshold);
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}
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} // namespace fastdeploy
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