mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
31 lines
1.2 KiB
C++
31 lines
1.2 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/pybind/main.h"
|
|
|
|
namespace fastdeploy {
|
|
void BindPaddleClas(pybind11::module& m) {
|
|
pybind11::class_<vision::classification::PaddleClasModel, FastDeployModel>(
|
|
m, "PaddleClasModel")
|
|
.def(pybind11::init<std::string, std::string, std::string, RuntimeOption,
|
|
Frontend>())
|
|
.def("predict", [](vision::classification::PaddleClasModel& self,
|
|
pybind11::array& data, int topk = 1) {
|
|
auto mat = PyArrayToCvMat(data);
|
|
vision::ClassifyResult res;
|
|
self.Predict(&mat, &res, topk);
|
|
return res;
|
|
});
|
|
}
|
|
} // namespace fastdeploy
|