mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
5df62485c3
* fix ocr bug and add new feature * fix bug * fix bug * fix bug * fix bug * fix bug * fix bug * add property * add test * fix code style * fix bug * fix bug * fix bug * fix port * fix ocr * fix_ocr * fix ocr * fix ocr * fix ocr * fix ocr * Update paddle2onnx.cmake * Update paddle2onnx.cmake * Update paddle2onnx.cmake Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: Jason <928090362@qq.com>
78 lines
3.2 KiB
C++
Executable File
78 lines
3.2 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 <pybind11/stl.h>
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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy {
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void BindPPOCRv3(pybind11::module& m) {
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// PPOCRv3
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pybind11::class_<pipeline::PPOCRv3, FastDeployModel>(
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m, "PPOCRv3")
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.def(pybind11::init<fastdeploy::vision::ocr::DBDetector*,
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fastdeploy::vision::ocr::Classifier*,
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fastdeploy::vision::ocr::Recognizer*>())
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.def(pybind11::init<fastdeploy::vision::ocr::DBDetector*,
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fastdeploy::vision::ocr::Recognizer*>())
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.def_property("cls_batch_size", &pipeline::PPOCRv3::GetClsBatchSize, &pipeline::PPOCRv3::SetClsBatchSize)
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.def_property("rec_batch_size", &pipeline::PPOCRv3::GetRecBatchSize, &pipeline::PPOCRv3::SetRecBatchSize)
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.def("predict", [](pipeline::PPOCRv3& self,
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pybind11::array& data) {
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auto mat = PyArrayToCvMat(data);
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vision::OCRResult res;
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self.Predict(&mat, &res);
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return res;
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})
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.def("batch_predict", [](pipeline::PPOCRv3& self, std::vector<pybind11::array>& data) {
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std::vector<cv::Mat> images;
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for (size_t i = 0; i < data.size(); ++i) {
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images.push_back(PyArrayToCvMat(data[i]));
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}
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std::vector<vision::OCRResult> results;
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self.BatchPredict(images, &results);
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return results;
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});
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}
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void BindPPOCRv2(pybind11::module& m) {
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// PPOCRv2
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pybind11::class_<pipeline::PPOCRv2, FastDeployModel>(
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m, "PPOCRv2")
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.def(pybind11::init<fastdeploy::vision::ocr::DBDetector*,
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fastdeploy::vision::ocr::Classifier*,
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fastdeploy::vision::ocr::Recognizer*>())
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.def(pybind11::init<fastdeploy::vision::ocr::DBDetector*,
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fastdeploy::vision::ocr::Recognizer*>())
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.def_property("cls_batch_size", &pipeline::PPOCRv2::GetClsBatchSize, &pipeline::PPOCRv2::SetClsBatchSize)
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.def_property("rec_batch_size", &pipeline::PPOCRv2::GetRecBatchSize, &pipeline::PPOCRv2::SetRecBatchSize)
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.def("predict", [](pipeline::PPOCRv2& self,
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pybind11::array& data) {
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auto mat = PyArrayToCvMat(data);
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vision::OCRResult res;
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self.Predict(&mat, &res);
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return res;
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})
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.def("batch_predict", [](pipeline::PPOCRv2& self, std::vector<pybind11::array>& data) {
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std::vector<cv::Mat> images;
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for (size_t i = 0; i < data.size(); ++i) {
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images.push_back(PyArrayToCvMat(data[i]));
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}
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std::vector<vision::OCRResult> results;
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self.BatchPredict(images, &results);
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return results;
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});
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}
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} // namespace fastdeploy
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