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77cb9db6da
* [cmake] add faiss.cmake -> pp-shituv2 * [PP-ShiTuV2] Support PP-ShituV2-Det model * [PP-ShiTuV2] Support PP-ShiTuV2-Det model * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [Bug Fix] fix ppshitu_pybind error * [benchmark] Add ppshituv2-det c++ benchmark * [examples] Add PP-ShiTuV2 det & rec examples * [vision] Update vision classification result * [Bug Fix] fix trt shapes setting errors
35 lines
1.2 KiB
C++
35 lines
1.2 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 BindYOLOv5Cls(pybind11::module& m);
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void BindPaddleClas(pybind11::module& m);
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void BindPPShiTuV2(pybind11::module& m);
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void BindResNet(pybind11::module& m);
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void BindClassification(pybind11::module& m) {
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auto classification_module =
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m.def_submodule("classification", "Image classification models.");
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BindYOLOv5Cls(classification_module);
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BindPaddleClas(classification_module);
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BindPPShiTuV2(classification_module);
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BindResNet(classification_module);
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}
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} // namespace fastdeploy
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