mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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39 lines
1.7 KiB
C++
39 lines
1.7 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 BindYOLOX(pybind11::module& m) {
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pybind11::class_<vision::detection::YOLOX, FastDeployModel>(m, "YOLOX")
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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::detection::YOLOX& self, pybind11::array& data,
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float conf_threshold, float nms_iou_threshold) {
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auto mat = PyArrayToCvMat(data);
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vision::DetectionResult res;
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self.Predict(&mat, &res, conf_threshold, nms_iou_threshold);
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return res;
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})
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.def_readwrite("size", &vision::detection::YOLOX::size)
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.def_readwrite("padding_value", &vision::detection::YOLOX::padding_value)
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.def_readwrite("is_decode_exported",
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&vision::detection::YOLOX::is_decode_exported)
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.def_readwrite("downsample_strides",
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&vision::detection::YOLOX::downsample_strides)
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.def_readwrite("max_wh", &vision::detection::YOLOX::max_wh);
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}
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} // namespace fastdeploy
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