mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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1da8c523b0
* add paddle_trt in benchmark * update benchmark in device * update benchmark * update result doc * fixed for CI * update python api_docs * update index.rst * add runtime cpp examples * deal with comments * Update infer_paddle_tensorrt.py * Add runtime quick start * deal with comments * fixed reused_input_tensors&&reused_output_tensors * fixed docs * fixed headpose typo * fixed typo * refactor yolov5 * update model infer * refactor pybind for yolov5 * rm origin yolov5 * fixed bugs * rm cuda preprocess * fixed bugs * fixed bugs * fixed bug * fixed bug * fix pybind * rm useless code * add convert_and_permute * fixed bugs * fixed im_info for bs_predict * fixed bug * add bs_predict for yolov5 * Add runtime test and batch eval * deal with comments * fixed bug * update testcase * fixed batch eval bug * fixed preprocess bug * refactor yolov7 * add yolov7 testcase * rm resize_after_load and add is_scale_up * fixed bug * set multi_label true * optimize rvm preprocess * optimizer rvm postprocess * fixed bug * deal with comments Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
36 lines
1.5 KiB
C++
Executable File
36 lines
1.5 KiB
C++
Executable File
// 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 BindRobustVideoMatting(pybind11::module& m) {
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// Bind RobustVideoMatting
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pybind11::class_<vision::matting::RobustVideoMatting, FastDeployModel>(m, "RobustVideoMatting")
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.def(pybind11::init<std::string, std::string, RuntimeOption,
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ModelFormat>())
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.def("predict",
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[](vision::matting::RobustVideoMatting& self, pybind11::array& data) {
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auto mat = PyArrayToCvMat(data);
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vision::MattingResult 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("size", &vision::matting::RobustVideoMatting::size)
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.def_readwrite("video_mode", &vision::matting::RobustVideoMatting::video_mode)
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.def_readwrite("swap_rb", &vision::matting::RobustVideoMatting::swap_rb);
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}
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} // namespace fastdeploy
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