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* Update ppseg backend support type * Update ppseg preprocess if condition * Update README.md * Update README.md * Update README.md * Update ppseg with eigen functions * Delete old argmax function * Update README.md * Delete apply_softmax in ppseg example demo * Update ppseg code with createFromTensor function * Delete FDTensor2CVMat function * Update README.md * Update README.md * Update README.md * Update README.md * Update ppseg model.cc with transpose&&softmax in place convert * Update segmentation_result.md * Update model.cc * Update README.md * Update README.md Co-authored-by: Jason <jiangjiajun@baidu.com>
36 lines
1.5 KiB
C++
36 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/pybind/main.h"
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namespace fastdeploy {
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void BindPPSeg(pybind11::module& m) {
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pybind11::class_<vision::segmentation::PaddleSegModel, FastDeployModel>(
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m, "PaddleSegModel")
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.def(pybind11::init<std::string, std::string, std::string, RuntimeOption,
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ModelFormat>())
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.def("predict",
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[](vision::segmentation::PaddleSegModel& self,
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pybind11::array& data) {
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auto mat = PyArrayToCvMat(data);
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vision::SegmentationResult* res = new vision::SegmentationResult();
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self.Predict(&mat, res);
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return res;
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})
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.def_readwrite("apply_softmax",
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&vision::segmentation::PaddleSegModel::apply_softmax)
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.def_readwrite("is_vertical_screen",
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&vision::segmentation::PaddleSegModel::is_vertical_screen);
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}
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} // namespace fastdeploy
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